Results for 'Uday S. Reddy'

987 found
Order:
  1. The Structured Design Framework for Developing Discharging Strategy for Cloud Based Automation Through ML Technique.K. Krishna Kumar Muntather Almusawi, Harpreet S. Bhatia, Ranjith Reddy K., Aashna Sinha, Dr R. Udayakumar - 2024 - International Conference on Advance Computing and Innovative Technologies in Engineering 4 (1):1341-1345.
    With the growth of wireless networks and Internet resources, cloud robotics is becoming more and more popular. A prominent innovation that has gained traction is computation offloading, which gives robots more computational power by using cloud resources and parallel processing power. Nevertheless, because there are so many variables affecting performance, research on how effective computing offloading is in cloud robotics is still underway. Our research proposes a distributed cloud robotic architecture that uses Kafka middleware as a message broker to offload (...)
    Download  
     
    Export citation  
     
    Bookmark  
  2.  38
    Natural Language Translation Engine for Announcements and Information Dissemination at Stations.M. Naveen Reddy - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (9):1-10.
    his paper presents a Multilingual Translation Engine designed to automate public announcements in multiple languages. It leverages Google Translate for real-time translation and gTTS (Google Text-to-Speech) for speech synthesis. The system supports over 90 languages, enhancing accessibility in transportation hubs. The engine's architecture is built using Flask for the backend, integrated with APIs to handle translation and audio generation. Additionally, the system supports custom profiles for recurring announcements. Future enhancements could include speech recognition and advanced scheduling.
    Download  
     
    Export citation  
     
    Bookmark  
  3.  24
    Harnessing Guidewire Claim Center for Optimized Claim Management: A Blueprint for Efficiency and Customer Satisfaction.Ravi Teja Madhala Sateesh Reddy Adavelli - 2019 - International Journal of Innovative Research in Science, Engineering and Technology 8 (11):11466-11479.
    In today’s fast moving insurance environment, efficient claim management is a vital business practice to improve operational effectiveness and provide an exceptional customer experience. Based on the first notice of loss (FNOL), Guidewire Claim Center, the leading claims management platform, gives insurers the thorough, scalable, and customizable option to accelerate the claims process from FNOL to final resolution. In this paper, we explore how insurers adapt Guidewire Claim Center to enable effective utilization of Guidewire Claim Center to optimize and transform (...)
    Download  
     
    Export citation  
     
    Bookmark  
  4.  52
    Transforming E-Commerce with Pragmatic Advertising Using Machine Learning Techniques.Sankara Reddy Thamma Sankara Reddy Thamma - 2025 - International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11 (1):394-404.
    Today e-commerce has had tremendous growth in the past years primarily due to changes in technology and customer’s buying behavior. One of the big shifts in the process has been the use of ML in advertising which has the capability to transform the marketing domain together with consumer interactions. This paper discusses the viability of using machine learning for designing realistic models of advertising to increase effectiveness of target and personalized advertising, as well as conversion rates in e-commerce. Several techniques (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  5.  70
    Anonymization and Revocation of CP-ABE Based Ring Networks.B. Ravinder Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies, 1 (5):1-15.
    given the increasing threats to data confidentiality and integrity. The project titled "Anonymization and Revocation of User Identity in CPABE-Based Ring Networks" addresses these concerns by integrating CiphertextPolicy Attribute-Based Encryption (CPABE) into a ring network environment. This novel approach effectively hides user identities during communications, mitigating risks of unauthorized data access and preventing potential misuse of sensitive information. A key feature of this project is the implementation of a secure revocation mechanism that ensures once a user's permissions are revoked, they (...)
    Download  
     
    Export citation  
     
    Bookmark  
  6.  45
    Wool Demand Prediction for Indian Production Companies.M. Vandan Reddy - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (10):1-10.
    Wool production industries rely heavily on accurate demand forecasting to manage supply chains and production schedules effectively. Predicting wool demand allows companies to avoid overproduction and resource wastage while meeting market needs efficiently. Traditional forecasting models often struggle with the seasonality and variability of wool demand. The ARIMA (Auto Regressive Integrated Moving Average) model, a time series forecasting technique, is particularly suited for this task due to its ability to capture both trends and seasonal fluctuations in historical data. The data (...)
    Download  
     
    Export citation  
     
    Bookmark  
  7.  28
    Policy Center to the Cloud: An Analysis of AWS and Snowflake’s Role in Cloud-Based Policy Management Solutions.Adavelli Sateesh Reddy - 2021 - Esp Journal of Engineering and Technology Advancements 1 (1):253-261.
    Organizations are migrating their policy management systems from the ground to the cloud, changing how they manage, secure and scale their operations. This paper analyses how Amazon Web Services (AWS) and Snowflake support robust and efficient cloud-based policy management solutions. This marriage of sort of AWS, which has an almost panoply of cloud services, and Snowflake, which is very well known for its data warehousing and analytics capabilities, makes sense because it is an enterprise in which you will want to (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8.  88
    Cloudburst Prediction in India Using Machine Learning.A. Tejaswini Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (3):1-14.
    Cloudbursts pose a significant threat in India, especially during the South-West Monsoon season that commences in June. India's diverse climate regions, including the northern Himalayan region, Indo-Gangetic Plain, southern peninsula, and coastal areas, experience sporadic cloudbursts, with only 31 recorded instances, mainly in Himachal Pradesh, Uttarakhand, and Jammu and Kashmir. To address the lack of comprehensive Indian cloudburst data, we've curated a dataset, incorporating meteorological factors for cloudburst prediction. This dataset encompasses variables such as Temperature, Wind Gust, Wind Gust Speed, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  9.  21
    AI and Cloud Synergy in Insurance: AWS, Snowflake, and Guidewire’s Role in Data- Driven Transformation.Adavelli Sateesh Reddy - 2023 - International Journal of Innovative Research in Science, Engineering and Technology 12 (6):9069-9080.
    As the integration of Artificial Intelligence (AI) and cloud computing transforms the insurance industry, it is undergoing a major breakthrough. With these technologies, insurers can modernize operations, improve the customer experience and make better decisions using real time data and predictive analytics. This paper aims to explore why AI and cloud play such critical roles in shifting insurance practice from legacy systems modernization, to data governance and regulatory compliance to workforce readiness. Today, world-class AI powered tools and cloud platforms such (...)
    Download  
     
    Export citation  
     
    Bookmark  
  10.  40
    Generative AI in Digital Insurance: Redefining Customer Experience, Fraud Detection, and Risk Management.Adavelli Sateesh Reddy - 2024 - International Journal of Computer Science and Information Technology Research 5 (2):41-60.
    This abstract summarizes, in essence, what generative AI means to the insurance industry. The kind of promise generated AI offers to insurance is huge: in risk assessment, customer experience, and operational efficiency. Natural disaster impact, financial market volatility, and cyber threat are augmented with techniques of real time scenario generation and modeling as well as predictive simulation based on synthetic data. One of the challenges that stand in the way of deploying these AI methods, however, is data privacy, model reliability (...)
    Download  
     
    Export citation  
     
    Bookmark  
  11.  30
    Future Proofing Insurance Operations: A Guidewire-Centric Approach to Cloud, Cybersecurity, and Generative AI.Adavelli Sateesh Reddy - 2023 - International Journal of Computer Science and Information Technology Research 4 (2):29-52.
    By integration with cloud computing, cybersecurity and generative AI, the insurance industry is being transformed from high efficiency, low cost, and better customer service. However, these advanced technologies can also be used by insurers to automate and streamline processes like claims handling, underwriting, and policy generation, which are majorly time consuming and error prone. In predictive analytics, fraud detection, and personalized customer experience, generative AI makes it possible for insurers to mitigate risks and, at the same time, provide more personalized (...)
    Download  
     
    Export citation  
     
    Bookmark  
  12.  27
    Multi-Cloud Data Resilience: Implementing Cross-Platform Data Strategies with Snowflake for P&C Insurance Operations.Adavelli Sateesh Reddy - 2023 - International Journal of Science and Research 12 (1):1387-1398.
    Property and Casualty (P&C) insurers are adopting multi-cloud environments as a strategic imperative because of their increasing data volumes and complexities in regulatory compliance, customer expectations and technological advancements. This paper discusses how Snowflake’s cloud-agnostic, unified platform enables insurers to create resilient, efficient, and compliant multi cloud data strategies. Using Snowflake’s elastic scalability, real-time analytics, secure data sharing and seamless cloud interoperability, insurers can optimize claims processing, augment fraud detection, and support customer engagement. The study offers core design principles for (...)
    Download  
     
    Export citation  
     
    Bookmark  
  13.  26
    Digital Privacy in P&C Claims Processing: Balancing Innovation with Regulatory Requirements.Ravi Teja Madhala Sateesh Reddy Adavelli - 2021 - International Journal of Science and Research 10 (3):2042-2053.
    This paper examines the challenges and lessons learned for Property and Casualty (P&C) insurers as they look to balance technological innovation against regulatory compliance, specifically regarding privacy laws. These technologies have been adopted rapidly, from Artificial Intelligence (AI), blockchain, and the Internet of Things (IoT), to transform how claims are processed, resulting in efficiencies, improved fraud detection and increased customer-centeredness. While these advancements have brought much to the table, they hold great fear regarding the data privacy, security, and compliance involved. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  14.  26
    Streamlining HCM Processes with Cloud Architecture.Harish Kumar Reddy Kommera - 2020 - Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11 (2):1323-1338.
    The integration of cloud architecture into Human Capital Management (HCM) systems has revolutionized the way organizations manage their workforce. Cloud-based HCM solutions offer enhanced scalability, flexibility, and accessibility, enabling organizations to streamline HR processes, improve data management, and foster greater employee engagement. This paper explores the impact of cloud architecture on HCM processes, highlighting key benefits such as cost-effectiveness, real-time data access, and seamless integration with other business systems. Through a comprehensive literature review and analysis of case studies from diverse (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  15.  38
    Empowering Communities with Accessible Health Solutions The Pranasetu Initiative Dakuri.Reddy Sri Harini - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (7):1-15.
    . The increasing frequency of infectious disease outbreaks highlights the urgent need for efficient and accessible health management systems. Existing platforms often lack real-time updates, regional specificity, and user-focused features, leaving individuals underprepared to address emerging health threats. This research presents Pranasetu, a web-based health wellness improvement application designed to enhance public awareness and personal health insights through technology. The platform incorporates real-time outbreak updates, a dynamic map of India for disease tracking, location-based alerts, and an interactive symptom-based questionnaire supported (...)
    Download  
     
    Export citation  
     
    Bookmark  
  16. End-of-Life Experience Case Study and a Proposed Quantum Physics Hypothesis.Contzen Pereira & J. Shashi Kiran Reddy ... - 2017 - Journal of Near Death Studies 35 (1):57 - 61.
    This case study is a retrospection of my family’s experiences that highlight several ELE facets. Following a description, we attempt to explain some of these phenomena from the perspectives of science and other germane disciplines.
    Download  
     
    Export citation  
     
    Bookmark  
  17.  22
    Heart Disease Prediction and Suggestion in Efficient Way through Machine Learning Method.I. Krishna Mohan Reddy D. Lakshmi Narayana - 2020 - International Journal of Innovative Research in Computer and Communication Engineering 8 (3):229-233.
    The Healthcare industry generally clinical diagnosis is done mostly by doctor’s expertise and experience. Computer Aided Decision Support System plays a major role in medical field. Data mining techniques and machine learning algorithms play a very important role in this area. The researchers accelerating their research works to develop a software with the help machine learning algorithm which can help doctors to take decision regarding both prediction and diagnosing of heart disease. The main objective of this research paper is predicting (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. Emotional Imperialism.Alfred Archer & Benjamin Matheson - 2023 - Philosophical Topics 51 (1):7-25.
    How might people be wronged in relation to their feelings, moods, and emotions? Recently philosophers have begun to investigate the idea that these kinds of wrongs may constitute a distinctive form of injustice: affective injustice. In previous work, we have outlined a particular form of affective injustice that we called emotional imperialism. This paper has two main aims. First, we aim to provide an expanded account of the forms that emotional imperialism can take. We will do so by drawing inspiration (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  19. The Second Person in the Theory of Mind Debate.Monika Dullstein - 2012 - Review of Philosophy and Psychology 3 (2):231-248.
    It has become increasingly common to talk about the second person in the theory of mind debate. While theory theory and simulation theory are described as third person and first person accounts respectively, a second person account suggests itself as a viable, though wrongfully neglected third option. In this paper I argue that this way of framing the debate is misleading. Although defenders of second person accounts make use of the vocabulary of the theory of mind debate, they understand some (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  20. Heidegger and the infant: A second-person alternative to the Dasein-analysis.Stephen Langfur - 2014 - Journal of Theoretical and Philosophical Psychology 34 (4):257-274.
    Heidegger’s analysis of human existence has long been criticized for ignoring the full possibilities of human encounter. This article finds a basis for the criticism in recent infancy research. It presents evidence for a second-person structure in our earliest encounters: An infant first becomes present to herself as the focal center of a caregiver’s gazing, smiling, or vocalization. The exchange in which the self thus appears is termed a You–I event. Such an event, it is held, cannot be assimilated into (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  21. Theories of Consciousness & Death.Gregory Nixon (ed.) - 2016 - New York, USA: QuantumDream.
    What happens to the inner light of consciousness with the death of the individual body and brain? Reductive materialism assumes it simply fades to black. Others think of consciousness as indicating a continuation of self, a transformation, an awakening or even alternatives based on the quality of life experience. In this issue, speculation drawn from theoretic research are presented. -/- Table of Contents Epigraph: From “The Immortal”, Jorge Luis Borges iii Editor’s Introduction: I Killed a Squirrel the Other Day, Gregory (...)
    Download  
     
    Export citation  
     
    Bookmark  
  22. Sevmek Zamanı Filminde Kadın, Temsil ve İletişim.Esma Kayar - 2023 - In Geçmişten Bugüne Türk Yazınında Kadının Temsili. Istanbul: Kriter Yayınevi. pp. 123-136.
    Bu çalışmada Metin Erksan’ın 1965 yapımı Sevmek Zamanı filminin “bir resme âşık olma” hikâyesi gibi görünen anlatısının aslında dönemin varoluşçu felsefesinin Türkiye’deki özgün bir yansıması olduğu ve bunun da filmdeki kadın karakter ile kurulduğu gösterilecektir. Yazıda filmde beliren temsil, korku, özgürlük ve iletişim temaları öncelikle Platon’un mağara alegorisi ve Heidegger’in varoluşçu felsefesinin Dasein (orada-varlık) kavramına başvurularak ele alınacaktır. Filmde âşık olduğunu söylemekten çekinen Halil’in Meral’in temsiline kaçışı resmin bakışındaki iyilik ve sevgi ile açıklanır. Doğada insanların uzağında yaşayan ve çalışan Halil (...)
    Download  
     
    Export citation  
     
    Bookmark  
  23.  54
    Cardiovascular image analysis: AI can analyze heart images to assess cardiovascular health and identify potential risks.Sankara Reddy Thamma Sankara Reddy Thamma - 2024 - International Journal of Science and Research Archive 12 (2):2969 - 2976.
    CVDs continue to be the number one cause of death, therefore early detection and treatment is crucial. Currently, the application of Artificial Intelligence (AI) in the cardiac image analysis has become popular due to increased accuracy, productivity, and modelling. In this paper, the use of the AI system to study the echocardiogram, CT, MRI, and other images of the heart and blood vessels to view the risk factors for cardiovascular diseases is discussed. We focus on the current methods of artificial (...)
    Download  
     
    Export citation  
     
    Bookmark   15 citations  
  24.  52
    Revolutionizing Healthcare: Spatial Computing Meets Generative AI.Sankara Reddy Thamma Sankara Reddy Thamma - 2024 - International Journal of Scientific Research in Science, Engineering and Technology 11 (5):324-336.
    The health industry is experiencing change, the newest forerunner of which is being propelled by spatial computing and generative AI. Spatial computing simply refers to the ability to interface with physical space through computation and digital devices; on the other hand, generative AI means using advanced machine learning to generate new output. This paper examines the roles and the combined possibilities of these two technologies with the view of transforming health care and diagnostics in the field of patient care. Precision (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  25.  42
    Generative AI in Graph-Based Spatial Computing: Techniques and Use Cases.Sankara Reddy Thamma Sankara Reddy Thamma - 2024 - International Journal of Scientific Research in Science and Technology 11 (2):1012-1023.
    Generative AI has proven itself as an efficient innovation in many fields including writing and even analyzing data. For spatial computing, it provides a potential solution for solving such issues related to data manipulation and analysis within the spatial computing domain. This paper aims to discuss the probabilities of applying generative AI to graph-based spatial computing; to describe new approaches in detail; to shed light on their use cases; and to demonstrate the value that they add. This technique thus incorporates (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  26. Origin of Life: A Consequence of Cosmic Energy, Redox Homeostasis and Quantum Phenomenon.Contzen Pereira & J. Shashi Kiran Reddy - unknown
    Origin of life on earth transpired once and from then on, it emerges as an endless eternal process. Matter and energy are constants of the cosmos and the hypothesis is that the origin of life is a moment when these constants intertwined or interacted. Energy from the cosmos interacted with inorganic matter to support matter with retention of this riveted energy, as energy to be circulated within the primitive channelized structures to conserve energy by the materialization of the proton homeostasis (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  27.  52
    A Unified Portal for Developing a Model Curriculum for All AICTE Approved Institutes.K. Anjali Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (6):1-15.
    To develop a Unified Portal to collaborate across educational stakeholders to formulate and maintain curriculum standards for Technical Education in India. In that AICTE plays a pivotal role in shaping the landscape of technical education in India. We are going to design a portal to streamline the curriculum design process for educators. This portal incorporates various curriculum design tools to facilitate a more efficient and effective curriculum creation experience.
    Download  
     
    Export citation  
     
    Bookmark  
  28.  43
    Leveraging the Power of Deep Learning to Overcome the Challenges of Marine Engineering and Improve Vessel Operations.A. Akshith Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (5):1-14.
    Maritime transport plays a pivotal role in global trade, yet it faces challenges due to corrosion, which deteriorates metallic surfaces of vessels, leading to potential safety hazards and financial burdens. Traditional corrosion detection methods such as visual inspections are inefficient, time-consuming, and often subjective. This paper proposes a deep learning-based solution utilizing Convolutional Neural Networks (CNNs) to detect and assess corrosion on marine vessel surfaces. Our proposed solution not only automates the detection process but also enhances accuracy, ensuring early identification (...)
    Download  
     
    Export citation  
     
    Bookmark  
  29.  50
    Investigation of vulnerabilities in implementation of crypto library used by OpenVPN for IPV6 deployment.B. Ravinder Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies, 1 (4):1-13.
    Abstract. The increasing adoption of IPv6 has introduced new security concerns, including the threat of Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. These attacks leads service disruptions, financial losses, and reputational damage. A Denial of Service (DoS) attack is when a single computer or device sends a large amount of traffic to a network or website. Whereas A Distributed Denial of Service (DDoS) launched from multiple devices or computers, making it harder to block and more powerful. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  30. Subjective Science of the Absolute & Perceptual Realities.Jumpal Shashi Kiran Reddy & Contzen Pereira - manuscript
    How do we know what we know? • How do we perceive ourselves and the world around? • Is what we perceive the only reality that exists? (or) • Is there a different reality other than what we perceive? (Not referring to the source of C, but to the CoC, in the very limit of our physical structure).
    Download  
     
    Export citation  
     
    Bookmark  
  31. Widening Access to Applied Machine Learning With TinyML.Vijay Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Lara Suzuki, Anant Agarwal, Colby Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart & Dustin Tingley - 2022 - Harvard Data Science Review 4 (1).
    Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...)
    Download  
     
    Export citation  
     
    Bookmark  
  32. Network Intrusion Detection using Machine Learning.B. Ravinder Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (4):1-15.
    With the growing sophistication and frequency of cyberattacks, there is a critical need for effective systems that can detect and prevent breaches in real time. The AI/ML-based Network Intrusion Detection System (NIDS) addresses this need by analyzing traffic patterns to identify security breaches in firewalls, routers, and network infrastructures. By integrating machine learning algorithms—K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest—the system is able to detect both known cyber threats and previously unseen attack vectors. Unlike traditional methods that (...)
    Download  
     
    Export citation  
     
    Bookmark  
  33. Understanding Critical Variables for Customer Relationship Management in Higher Education Institution from Employees Perspective.Youssef M. Abu Amuna, Mazen J. Al Shobaki, Samy S. Abu Naser & Jehad J. Badwan - 2017 - International Journal of Information Technology and Electrical Engineering 6 (1):10-16.
    The aim of this paper is to evaluate the critical success factors and investigate the benefits that might be gained once implementing Electronic Customer Relationship Management at HEI from employee perspective. The study conducted at Al Quds Open University in Palestine and data collected from (300) employee through a questionnaire which consist of four variables. A number of statistical tools were intended for hypotheses testing and data analysis, including Spearman correlation coefficient for Validity, reliability correlation using Cronbach’s alpha, and Frequency (...)
    Download  
     
    Export citation  
     
    Bookmark   49 citations  
  34. Development and Evaluation of the Oracle Intelligent Tutoring System (OITS).Rami Aldahdooh & Samy S. Abu Naser - 2017 - European Academic Research 4 (10).
    This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...)
    Download  
     
    Export citation  
     
    Bookmark   35 citations  
  35. Design and Development of an Intelligent Tutoring System for C# Language.Bashar G. Al-Bastami & Samy S. Abu Naser - 2017 - European Academic Research 4 (10).
    Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the information is (...)
    Download  
     
    Export citation  
     
    Bookmark   25 citations  
  36. Mathematics Intelligent Tutoring System.Nour N. AbuEloun & Samy S. Abu Naser - 2017 - International Journal of Advanced Scientific Research 2 (1):11-16.
    In these days, there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that help students understand the basics of math and that helps a lot of students of all ages to understand the topic because it's important for students of adding and subtracting. Through which the student will be able to study the course and solve related problems. An evaluation (...)
    Download  
     
    Export citation  
     
    Bookmark   30 citations  
  37.  63
    Pro Planet Person APP.Yelapati Thrisha Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (8):1-12.
    The application leverages gamification and personalized recommendations to encourage ecofriendly behaviors, track environmental impact, and reward users for their commitment to protecting the planet. By integrating features such as daily challenges, educational content, and a community leaderboard, the app seeks to empower individuals to make positive changes in their daily lives while building a community of like-minded environmental enthusiasts.
    Download  
     
    Export citation  
     
    Bookmark  
  38. An Experimental Analysis of Revolutionizing Banking and Healthcare with Generative AI.Sankara Reddy Thamma - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):580-590.
    Generative AI is reshaping sectors like banking and healthcare by enabling innovative applications such as personalized service offerings, predictive analytics, and automated content generation. In banking, generative AI drives customer engagement through tailored financial advice, fraud detection, and streamlined customer service. Meanwhile, in healthcare, it enhances medical imaging analysis, drug discovery, and patient diagnostics, significantly impacting patient care and operational efficiency. This paper presents an experimental study examining the implementation and effectiveness of generative AI in these sectors.
    Download  
     
    Export citation  
     
    Bookmark   29 citations  
  39. A Case Study on Transforming Legacy Databases Seamless Migration to Snowflake.Sankara Reddy Thamma - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):560-580.
    Migrating legacy database applications to modern cloud-based solutions, such as Snowflake, is becoming essential for organizations aiming to leverage scalable, efficient, and cost-effective data solutions. Legacy databases, typically bound to on-premises infrastructure, often lack the flexibility required by contemporary data analytics and storage needs. Snowflake, a cloud-native data platform, provides a versatile environment that enables efficient data storage, sharing, and processing. This research examines a structured methodology for migrating legacy database applications to Snowflake, addressing key stages from initial assessment to (...)
    Download  
     
    Export citation  
     
    Bookmark   29 citations  
  40. Smoke Detectors Using ANN.Marwan R. M. Al-Rayes & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):1-9.
    Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  41. Predicting Heart Disease using Neural Networks.Ahmed Muhammad Haider Al-Sharif & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):40-46.
    Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  42. Artificial Intelligence in Healthcare: Transforming Patient Care and Medical Practices.Jawad Y. I. Alzamily, Hani Bakeer, Husam Almadhoun, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (8):1-9.
    Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  43. An Intelligent Tutoring System for Teaching Grammar English Tenses.Mohammed I. Alhabbash, Ali O. Mahdi & Samy S. Abu Naser - 2016 - European Academic Research 4 (9):1-15.
    The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design of (...)
    Download  
     
    Export citation  
     
    Bookmark   59 citations  
  44. An Intelligent Tutoring System for Cloud Computing.Hasan Abdulla Abu Hasanein & Samy S. Abu Naser - 2017 - International Journal of Academic Research and Development 2 (1):76-80.
    Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private lessons intelligent, (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  45. AI-Driven Innovations in Agriculture: Transforming Farming Practices and Outcomes.Jehad M. Altayeb, Hassam Eleyan, Nida D. Wishah, Abed Elilah Elmahmoum, Ahmed J. Khalil, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):1-6.
    Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...)
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  46. Revolutionizing Drug Discovery: The Role of Artificial Intelligence in Accelerating Pharmaceutical Innovation".Alaa Soliman Abu Mettleq, Alaa N. Akkila, Mohammed A. Alkahlout, Suheir H. A. ALmurshidi, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - Information Journal of Academic Engineering Research (Ijaer) 8 (10):45-53.
    Abstract: The integration of artificial intelligence (AI) into drug discovery is revolutionizing the pharmaceutical industry by accelerating the development of novel therapeutics. AI-powered tools enable researchers to process vast datasets, identify drug candidates, and predict their efficacy and safety with unprecedented speed and accuracy. This paper explores the transformative impact of AI on drug discovery, highlighting key advancements in machine learning algorithms, deep learning, and predictive modeling. Additionally, it addresses the challenges associated with AI implementation, including data quality, regulatory hurdles, (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  47. The Role of AI in Enhancing Business Decision-Making: Innovations and Implications.Faten Y. A. Abu Samara, Aya Helmi Abu Taha, Nawal Maher Massa, Tanseen N. Abu Jamie, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):8-15.
    Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  48. Advancements in AI for Medical Imaging: Transforming Diagnosis and Treatment.Zakaria K. D. Alkayyali, Ashraf M. H. Taha, Qasem M. M. Zarandah, Bassem S. Abunasser, Alaa M. Barhoom & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (8):8-15.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...)
    Download  
     
    Export citation  
     
    Bookmark   12 citations  
  49. Virtue and Violence in Theravada and Sri Lankan Buddhism.Eric S. Nelson - 2009 - In Chanju Mun and Ronald S. Green, Buddhist Roles in Peacemaking. Blue Pine Books. pp. 199-233.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  50. Photoshop (CS6) Intelligent Tutoring System.Mohammed Z. Shaath, Mones Al-Hanjouri, Samy S. Abu Naser & Rami ALdahdooh - 2017 - International Journal of Academic Research and Development 2 (1):81-86.
    In this paper, we designed and developed an intelligent tutoring system for teaching Photoshop. We designed the lessons, examples, and questions in a way to teach and evaluate student understanding of the material. Through the feedback provided by this tool, you can assess the student's understanding of the material, where there is a minimum overshoot questions stages, and if the student does not pass the level of questions he is asked to return the lesson and read it again. Eventually this (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
1 — 50 / 987