Results for 'P. Naveen Kumar'

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  1. Compound Metric Assisted Trust Aware Routing for Internet of Things through Firefly Algorithm.Mohammad Osman, Kaleem Fatima & P. Naveen Kumar - 2023 - International Journal of Intelligent Engineering and Systems 16 (3):280-291.
    Security and privacy are the major concerns in the internet of things (IoT) which are uncertain and unpredictable. Trust aware routing is one of the recent and effective strategies which ensure better resilience for IoT nodes from different security threats. Towards such concern, this paper proposes a new strategy called independent onlooker withstanding trust aware routing (IOWTAR) for IoT. IOWTAR introduced a new compound trust metric by combining three individual metrics namely independent trust, onlooker trust, and withstanding trust (a combination (...)
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  2.  38
    PGRKAM Web and Android Application for Employment Data.P. Nithish Kumar - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (7):1-15.
    In today’s competitive job market, job seekers often struggle to find suitable employment due to limited support and fragmented resources across various platforms. The PGRKAM Web Application addresses these challenges by centralizing employment data into a single, user-friendly platform that enhances job search efficiency. The application consolidates job listings from multiple sources, offers real-time notifications, and provides personalized job recommendations. It is structured with a two-tiered service model: a free version offering access to job listings and essential search features, and (...)
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  3. Six questions on the construction of ontologies in biomedicine.Anand Kumar, A. Burgun, W. Ceusters, J. Cimino, J. Davis, P. Elkin, I. Kalet, A. Rector, J. Rice, J. Rogers, Barry Smith & Others - 2005 - Report of the AMIA Working Group on Formal Biomedical Knowledge Representation 1.
    (Report assembled for the Workshop of the AMIA Working Group on Formal Biomedical Knowledge Representation in connection with AMIA Symposium, Washington DC, 2005.) Best practices in ontology building for biomedicine have been frequently discussed in recent years. However there is a range of seemingly disparate views represented by experts in the field. These views not only reflect the different uses to which ontologies are put, but also the experiences and disciplinary background of these experts themselves. We asked six questions related (...)
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  4. Integration of Internet Protocol and Embedded System On IoT Device Automation.Yousef MethkalAbd Algani, S. Balaji, A. AlbertRaj, G. Elangovan, P. J. Sathish Kumar, George Kofi Agordzo, Jupeth Pentang & B. Kiran Bala - manuscript
    The integration of Internet Protocol and Embedded Systems can enhance the communication platform. This paper describes the emerging smart technologies based on Internet of Things (IOT) and internet protocols along with embedded systems for monitoring and controlling smart devices with the help of WiFi technology and web applications. The internet protocol (IP) address has been assigned to the things to control and operate the devices via remote network that facilitates the interoperability and end-to-end communication among various devices c,onnected over a (...)
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  5. Real-Time Emotion Recognition System using Facial Expressions and Soft Computing methodologies.S. Arun Inigo, Rajesh Kumar V. & Ashok Ram P. - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):1-14.
    Facial Expression conveys non-verbal cues, which plays an important role in interpersonal relations. The Cognitive Emotion AI system is the process of identifying the emotional state of a person. The main aim of our study is to develop a robust system which can detect as well as recognize human emotion from live feed. There are some emotions which are universal to all human beings like angry, sad, happy, surprise, fear, disgust and neutral. The methodology of this system is based on (...)
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  6. Aristotle's syllogism as simple as ABC by new transformed Raval's notations.Ravinder Kumar Singh - manuscript
    Transformed RAVAL NOTATION solves Syllogism problems very quickly and accurately. This method solves any categorical syllogism problem with same ease and is as simple as ABC… In Transformed RAVAL NOTATION, each premise and conclusion is written in abbreviated form, and then conclusion is reached simply by connecting abbreviated premises.NOTATION: Statements (both premises and conclusions) are represented as follows: Statement Notation a) All S are P, SS-P b) Some S are P, S-P c) Some S are not P, S / PP (...)
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  7. Raval’s method a Simplified approach to Propositional Logic Arguments.Ravinder Kumar Singh - manuscript
    Basic Argument forms Modus Ponens , Modus Tollens , Hypothetical Syllogism and Dilemma contains ‘If –then’ conditions. Conclusions from the Arguments containing ‘If –then’ conditions can be deduced very easily without any significant memorization by applying Raval’s method. Method: In Raval’s method If P then Q is written as P (2$) – Q (1$) and viewed numerically, in currency form i.e. P is viewed as 2$ and Q is viewed as 1$ and implications from this notations are valid conclusions. If (...)
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  8. Preoperative Patient Education Practices and Predictors Among Nurses Working in East Amhara Comprehensive Specialized Hospitals, Ethiopia, 2022.Beza Tadesse, Prem Kumar, Natnaiel Girma, Samuel Anteneh, Wondwossen Yimam & Mitaw Girma - 2023 - Journal of Multidisciplinary Healthcare 16:237-247.
    Background: The time before surgery is a traumatic period for patients. Despite this fact, no research has been conducted on nurses’ preoperative patient education in Ethiopia. This study aimed to assess preoperative patient education practices and associated factors among nurses working in East Amhara comprehensive specialized hospitals, Ethiopia, 2022. Methods: A hospital-based cross-sectional study was conducted with 416 nurses. Pretested, structured questionnaires were used to collect the data. Bivariable analysis was performed for each independent variable with a P-value < 0.25 (...)
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  9. The Chronology of Geological Column: An Incomplete Tool to Search Georesources: In K.L. Shrivastava, A. Kumar, P.K. Srivastav, H.P. Srivastava (Ed.), Geo-Resources (pp. 609-625).Bhakti Niskama Shanta - 2014 - Jodhpur, India: Scientific Publishers.
    The archaeological record is very limited and its analysis has been contentious. Hence, molecular biologists have shifted their attention to molecular dating techniques. Recently on April 2013, the prestigious Cell Press Journal Current Biology published an article (Fu et al. 2013) entitled “A Revised Timescale for Human Evolution Based on Ancient Mitochondrial Genomes”. This paper has twenty authors and they are researchers from the world’s top institutes like Max Planck Institute, Harvard, etc. Respected authors of this paper have emphatically accepted (...)
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  10. Collected Papers (on various scientific topics), Volume XII.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam Dey, (...)
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  11. Collected Papers (on Neutrosophic Theory and Applications), Volume VII.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The (...)
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  12. Collected Papers (on Neutrosophic Theory and Applications), Volume VIII.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This eighth volume of Collected Papers includes 75 papers comprising 973 pages on (theoretic and applied) neutrosophics, written between 2010-2022 by the author alone or in collaboration with the following 102 co-authors (alphabetically ordered) from 24 countries: Mohamed Abdel-Basset, Abduallah Gamal, Firoz Ahmad, Ahmad Yusuf Adhami, Ahmed B. Al-Nafee, Ali Hassan, Mumtaz Ali, Akbar Rezaei, Assia Bakali, Ayoub Bahnasse, Azeddine Elhassouny, Durga Banerjee, Romualdas Bausys, Mircea Boșcoianu, Traian Alexandru Buda, Bui Cong Cuong, Emilia Calefariu, Ahmet Çevik, Chang Su Kim, Victor (...)
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  13. Collected Papers (on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics), Volume XI.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli Amin, (...)
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  14. Collected Papers (on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics), Volume X.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. (...)
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  15. Relação e Efeitos Bioquímico-nutricionais Sobre os Transtornos do Ciclo Estral em Vacas.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE OS TRANSTORNOS DO CICLO ESTRAL DE VACAS -/- Emanuel Isaque Cordeiro da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim [email protected] ou [email protected] WhatsApp: (82)98143-8399 -/- •__6. Transtornos do ciclo estral -/- Qualquer alteração na frequência, duração ou intensidade do ciclo estral é considerada uma perturbação do ciclo, cujas origens variam etiologicamente. As perturbações do ciclo podem originar-se em qualquer das partes do eixo hipotálamo-hipófise-ovário (FRAZER, 2005; GORDON, 1996). Pode ou não ser do tipo (...)
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  16. Relação e Efeitos Bioquímico-nutricionais Sobre as Alterações do Corpo Lúteo em Vacas.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE AS ALTERAÇÕES DO CORPO LÚTEO EM VACAS -/- Emanuel Isaque Cordeiro da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim [email protected] ou [email protected] WhatsApp: (82)98143-8399 -/- •__7. ALTERAÇÕES DO CORPO LÚTEO -/- A estrutura funcional desenvolve-se a partir da cavidade folicular após a ovulação. O corpo lúteo é constituído pelas células da teca interna (pequenas e ativas na primeira fase do seu desenvolvimento) e células da granulosa (grandes e ativas na segunda metade do seu (...)
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  17. A Comparison of SQL and NO-SQL Database Management Systems for Unstructured Data.Tambi Varun Kumar - 2024 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 13 (7):2086-2093.
    The purpose of this work is to compare the ways in which relational databases—more especially, Microsoft SQL Server—and non-relational databases—MongoDB—handle unstructured data in JSON format. Although a lot of study has been done comparing different database management systems in terms of security, performance, and other aspects, little is known about how these databases are evaluated according to the type of data they handle. The main goal of this study is to examine the various features that relational and non-relational databases provide (...)
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  18. Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative.Tambi Varun Kumar - 2024 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 12 (10):2382-2388.
    In the context of mid-level professional writing jobs, we examine the productivity effects of a generative artificial intelligence technology, namely the assistive chatbot ChatGPT. We used ChatGPT to randomly expose half of the 444 college-educated professionals to occupation-specific, incentive-based writing tasks in a preregistered online experiment. Our results show that ChatGPT considerably increases average productivity: output quality improves by 0.4 standard deviations and task completion time drops by 0.8 standard deviations. By compressing the production distribution, ChatGPT also lessens worker inequality, (...)
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  19. A Comprehensive Empirical Study Determining Practitioners' Views on Docker Development Difficulties: Stack Overflow Analysis.Tambi Varun Kumar - 2024 - International Journal of Innovative Research in Computer and Communication Engineering 12 (1):157-164.
    Through an examination of Stack Overflow posts, this study explores Docker-related subjects and difficulties in order to pinpoint common problems and patterns in Docker development. We created an extensive dataset of Docker conversations by utilising both tag-based and content-based filtering techniques. These conversations were categorised using Latent Dirichlet Allocation (LDA) topic modelling, which showed that the most common theme is Application Development, which includes topics like Framework Management, Coding Problems, Data Transfer, and Docker-specific frameworks. Because of Docker's strong market presence, (...)
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  20. A New Framework and Performance Assessment Method for Distributed Deep Neural NetworkBased Middleware for Cyberattack Detection in the Smart IoT Ecosystem.Tambi Varun Kumar - 2024 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 11 (5):2283-2291.
    In the current digital environment, cyberattacks continue to pose a serious risk and difficulty. Internet of Things (IoT) devices are becoming more and more vulnerable due to security problems like ransomware, malware, poor encryption, and IoT botnets. These flaws may result in ransom demands, data tampering, illegal access, and system risks. Creating strong cybersecurity procedures for contemporary smart environments is essential to resolving these problems. This strategy uses proactive network traffic monitoring to spot any dangers in the Internet of Things (...)
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  21.  72
    Project Risk Management System Development Based on Industry 4.0 Technology and its Practical Implications.Tambi Varun Kumar - 2018 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 7 (10):3841-3847.
    Because of advanced automation, data exchange, and cyber-physical systems, traditional project risk management strategies are losing their effectiveness in the era of Industry 4.0. This study investigates how integrating Industry 4.0 technology into project risk management frameworks can have real-world implications. Using technologies like artificial intelligence (AI), big data analytics, and the Internet of Things (IoT), it proposes a new framework that enhances risk identification, assessment, and mitigation methods. In order to demonstrate how Industry 4.0 is transforming risk management practices, (...)
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  22.  33
    A Comprehensive Framework for Data Dependency Monitoring in Upstream Business Intelligence Systems.Vijayan Naveen Edapurath - 2024 - Esp Journal of Engineering and Technology Advancements 4 (4):68-75.
    As organizations increasingly depend on data-driven decision-making, the complexity of Business Intelligence (BI) systems and their data pipelines has grown exponentially. This complexity introduces significant challenges in maintaining data quality, ensuring traceability, and guaranteeing system reliability. Unmanaged data dependencies in upstream BI components can lead to data inconsistencies, system failures, and compromised analytics. This paper presents a comprehensive framework for monitoring and managing data dependencies in upstream BI systems, with a primary focus on the Dependency Discovery Engine utilizing Static Code (...)
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  23.  49
    Enhancing Chatbot Response Relevance through Semantic Similarity Measures.Vijayan Naveen Edapurath - 2022 - Journal of Artificial Intelligence and Cloud Computing 1 (1):1-5.
    Semantic similarity measures have shown promise in enhancing natural language understanding by quantifying the likeness between textual elements. This paper investigates the application of semantic similarity measures to improve chatbot response relevance. By leveraging word embeddings and similarity metrics, this study aims to bridge the gap between simple keyword-based responses and contextually rich, relevant answers. The proposed approach integrates both traditional lexical measures and advanced vector-based embeddings to enhance user intent interpretation and ensure a more suitable response generation. By refining (...)
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  24.  34
    Automating Data Quality Monitoring In Machine Learning Pipelines.Vijayan Naveen Edapurath - 2023 - Esp International Journal of Advancements in Computational Technology 1 (2):104-111.
    This paper addresses the critical role of automated data quality monitoring in Machine Learning Operations (MLOps) pipelines. As organizations increasingly rely on machine learning models for decision-making, ensuring the quality and reliability of input data becomes paramount. The paper explores various types of data quality issues, including missing values, outliers, data drift, and integrity violations, and their potential impact on model performance. It then examines automated detection methods, such as statistical analysis, machine learning-based anomaly detection, rule-based systems, and data profiling. (...)
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  25.  41
    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.
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  26.  84
    Deriving Insights and Financial Summaries from Public Data Using Large Language Models.Vijayan Naveen Edapurath - 2024 - International Journal of Innovative Research in Engineering and Multidisciplinary Physical Sciences 12 (6):1-12.
    This paper investigates how large language models (LLMs) can be applied to publicly available financial data to generate automated financial summaries and provide actionable recommendations for investors. We demonstrate how LLMs can process both structured financial data (balance sheets, income statements, stock prices) and unstructured text (earnings calls, management commentary) to derive insights, predict trends, and automate financial reporting. By focusing on a specific publicly traded company, this research outlines the methodology for leveraging LLMs to analyze company performance and generate (...)
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  27. TRUTH – A Conversation between P F Strawson and Gareth Evans (1973).P. F. Strawson & Gareth Evans - manuscript
    This is a transcript of a conversation between P F Strawson and Gareth Evans in 1973, filmed for The Open University. Under the title 'Truth', Strawson and Evans discuss the question as to whether the distinction between genuinely fact-stating uses of language and other uses can be grounded on a theory of truth, especially a 'thin' notion of truth in the tradition of F P Ramsey.
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  28.  55
    Building Scalable Data Warehouses for Financial Analytics in Large Enterprises.Vijayan Naveen Edapurath - 2024 - International Journal of Innovative Research and Creative Technology 10 (3):1-10.
    In today's digital era, large enterprises face the daunting task of managing and analyzing vast volumes of financial data to inform strategic decision-making and maintain a competitive edge. Traditional data warehousing solutions often fall short in addressing the scale, complexity, and performance demands of modern financial analytics. This paper explores the architectural principles, technological strategies, and best practices essential for building scalable data warehouses tailored to the needs of financial analytics in large organizations. It delves into data integration techniques, performance (...)
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  29.  55
    Building Scalable MLOps: Optimizing Machine Learning Deployment and Operations.Vijayan Naveen Edapurath - 2024 - International Journal of Scientific Research in Engineering and Management 8 (10):1-5.
    As machine learning (ML) models become increasingly integrated into mission-critical applications and production systems, the need for robust and scalable MLOps (Machine Learning Operations) practices has grown significantly. This paper explores key strategies and best practices for building scalable MLOps pipelines to optimize the deployment and operation of machine learning models at an enterprise scale. It delves into the importance of automating the end-to-end lifecycle of ML models, from data ingestion and model training to testing, deployment, and monitoring. Approaches for (...)
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  30.  44
    Placement Assistant.Sahoo Prasantha Kumar - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (10):1-12.
    This project aims to provide a comprehensive placement preparation platform designed for college campus placements, utilizing a modern tech stack to deliver a robust and efficient solution. Built with Node.js and integrated with MySQL Workbench for database management, this web application centralizes critical resources such as company-specific interview experiences, placement materials, preparation roadmaps, and eligibility criteria. Students can create an account and log in to access these resources, ensuring they have organized and up-to-date information to guide their preparation. With its (...)
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  31. A psychological account of the unique decline in anti-gay attitudes.Victor Kumar, Aditi Kodipady & Liane Young - forthcoming - Philosophical Psychology.
    1. Over the last 50 years or so, and especially over the last few decades, the U.S. and many other societies have undergone a large, rapid, and broad decline in anti-gay attitudes. The magnitude, s...
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  32. The ontology of blood pressure: A case study in creating ontological partitions in biomedicine.Anand Kumar & Barry Smith - 2003 - IFOMIS Reports.
    We provide a methodology for the creation of ontological partitions in biomedicine and we test the methodology via an application to the phenomenon of blood pressure. An ontology of blood pressure must do justice to the complex networks of intersecting pathways in the organism by which blood pressure is regulated. To this end it must deal not only with the anatomical structures and physiological processes involved in such regulation but also with the relations between these at different levels of granularity. (...)
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  33.  45
    The Rise of Learning Cloud Technologies: Empowering the Digital Transformation.Akula Arvind Kumar - 2024 - International Journal of Innovative Research in Science, Engineering and Technology 13 (8):14671-14679.
    This comprehensive article explores the convergence of cloud computing and Java technologies, highlighting their synergistic relationship in modern software development. It examines key concepts in cloud computing, including virtualization, microservices architecture, CI/CD practices, and serverless computing. The article also discusses various cloud service models (SaaS, PaaS, and IaaS), their applications, and essential tools and technologies for cloud development. A financial institution's infrastructure modernization case study illustrates the practical implementation of these concepts, demonstrating how cloud technologies and Java can enhance agility, (...)
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  34. Medicinal Plants Identification through Image processing and Machine Learning.G. Kiran Kumar - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (1):1-11.
    The project is aimed at an arduous task of precise identification of medicinal plant species with the problem being pertinent in those industries that include botany, Ayurveda, pharmacology, and biomedical research. Most of the traditional identification methods are quite serious challenges for users, researchers, and students because they are usually time-consuming, knowledge-intensive, and prone to human errors. Our proposal develops an advanced web-based application for this process by utilizing state-of-the-art methods in image processing and machine learning. We will create a (...)
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  35. "On Andrea Kern’s 'The Knowledge View of Perception'".Apaar Kumar - 2024 - In Ori Beck & Miloš Vuletić, Empirical Reason and Sensory Experience. Springer. pp. 131-33.
    Andrea Kern contends that perceptual experience is perceptual knowledge if our self-consciously held capacity for perceptual knowledge is “perfectly” actualized. I argue that this view requires further justification. First, Kern is unable to support her claim that an awareness of our self-conscious capacity for perceptual knowledge is “contained” in all our perceptions. Second, Kern’s claim that perception includes the idea of the conditions of perception is potentially inconsistent with her denial that perceptual experience enables perceptual knowledge.
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  36.  47
    Automating HR Processes with Robotic Process Automation (RPA).Vijayan Naveen Edapurath - 2023 - Journal of Engineering and Applied Sciences Technology 5 (1):1-5.
    The integration of Robotic Process Automation (RPA) into Human Resources (HR) functions represents a significant advancement in organizational efficiency and effectiveness. RPA technology automates repetitive and rule-based tasks, allowing HR professionals to focus on strategic initiatives that add value to the organization. This paper provides a comprehensive introduction to RPA within HR, detailing its applications, benefits, implementation strategies, and how its principles can be transferred to other domains such as finance. By examining the transformative potential of RPA, organizations can better (...)
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  37.  40
    Design and Implementation of a Scalable Distributed Machine Learning Infrastructure for Real-Time High-Frequency Financial Transactions.Vijayan Naveen Edapurath - 2023 - Journal of Artificial Intelligence and Cloud Computing 2 (1):1-4.
    The exponential growth of high-frequency real-time financial transactions necessitates scalable machine learning infrastructures capable of processing and forecasting data in real time. This paper proposes a comprehensive design and implementation strategy for such infrastructures using distributed computing frameworks like Apache Spark and cloud services such as Amazon Web Services (AWS). Emphasizing technical specifics, the paper delves into architectural designs, implementation strategies, and optimization techniques that address critical challenges in data ingestion, real-time processing, model training, and deployment. A proof-of-concept implementation demonstrates (...)
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  38. On the application of formal principles to life science data: A case study in the Gene Ontology.Jacob Köhler, Anand Kumar & Barry Smith - 2004 - In Köhler Jacob, Kumar Anand & Smith Barry, Proceedings of DILS 2004 (Data Integration in the Life Sciences), (Lecture Notes in Bioinformatics 2994). Springer. pp. 79-94.
    Formal principles governing best practices in classification and definition have for too long been neglected in the construction of biomedical ontologies, in ways which have important negative consequences for data integration and ontology alignment. We argue that the use of such principles in ontology construction can serve as a valuable tool in error-detection and also in supporting reliable manual curation. We argue also that such principles are a prerequisite for the successful application of advanced data integration techniques such as ontology-based (...)
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  39. The Silent 'I' in Anger.Kumar Ranjeet - 2024 - Lucknow: Amezon KDP.
    The Silent 'I' in Anger explores the deep-seated nature of anger and the transformative power of self-awareness. In the midst of emotional storms, the "I" within us remains silent, observing and offering a path to inner peace. This book serves as a guide for understanding anger not as an enemy, but as an opportunity for personal growth and emotional mastery. Through powerful insights and practical techniques, Ranjeet Kumar (Moksh) uncovers the quiet eye at the center of the storm—a place (...)
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  40. The Unified Medical Language System and the Gene Ontology: Some critical reflections.Anand Kumar & Barry Smith - 2003 - In A. Günter, R. Kruse & B. Neumann, KI 2003: Advances in Artificial Intelligence. Berlin: Springer. pp. 135-148.
    The Unified Medical Language System and the Gene Ontology are among the most widely used terminology resources in the biomedical domain. However, when we evaluate them in the light of simple principles for wellconstructed ontologies we find a number of characteristic inadequacies. Employing the theory of granular partitions, a new approach to the understanding of ontologies and of the relationships ontologies bear to instances in reality, we provide an application of this theory in relation to an example drawn from the (...)
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  41. (1 other version)A strategy for improving and integrating biomedical ontologies.Cornelius Rosse, Anand Kumar, Jose L. V. Mejino, Daniel L. Cook, Landon T. Detwiler & Barry Smith - 2007 - In Ron Rudnicki, Proceedings of the Annual Symposium of the American Medical Informatics Association. AMIA. pp. 639-643.
    The integration of biomedical terminologies is indispensable to the process of information integration. When terminologies are linked merely through the alignment of their leaf terms, however, differences in context and ontological structure are ignored. Making use of the SNAP and SPAN ontologies, we show how three reference domain ontologies can be integrated at a higher level, through what we shall call the OBR framework (for: Ontology of Biomedical Reality). OBR is designed to facilitate inference across the boundaries of domain ontologies (...)
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  42.  95
    Wild Wise Weird: Captivating and Inspiring.Hemant Kumar - 2024 - Sm3D Portal.
    Wild Wise Weird: The Kingfisher Story Collection is an imaginative anthology that blends whimsical, wise, and strange tales. Filled with adventures, life lessons, and unique insights, it offers engaging and thought-provoking stories for readers of all ages. Perfect for fans of fantasy and the surreal, this collection captivates and inspires.
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  43.  42
    Advancing Synergy of Computing and Artificial Intelligence with Innovations Challenges and Future Prospects.Maroju Praveen Kumar - 2024 - Fmdb Transactions on Sustainable Intelligent Networks 1 (1):1-14.
    As the systematic revolution converges computing technologies with Artificial Intelligence (AI) applications, various industries have been transformed, ranging from healthcare to finance. This paper presents an extensive review of the progress achieved through this synergy, alongside the challenges and possible future perspectives. The methodology used in this study is a literature review supported by a theoretical model illustrating the integration of AI with computing. The findings reveal that computational capabilities, data processing speeds, and AI model efficiencies have drastically improved. However, (...)
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  44. Disciplina et veritas: Augustine on Truth and the Liberal Arts.Vikram Kumar - 2025 - Oxford Studies in Medieval Philosophy 11.
    In one of his earliest dialogues, the Soliloquia, Augustine identifies the liberal arts (disciplinae) with truth (veritas), and employs this somewhat puzzling identification as a premise in his infamous proof of the immortality of the soul (Sol. 2.24). In this paper, I examine Augustine’s argument for this peculiar identification. Augustine maintains both (1) that the constituent propositions of the liberal arts are true, and (2) that the liberal art of dialectic (disciplina disputandi) is the “truth through which all disciplines are (...)
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  45.  42
    Predictive Analytics in Education: Early Intervention and Proactive Support With Gen AI Cloud.Venu Madhav Aragani Praveen Kumar Maroju - 2025 - Igi Global Scientific Publishing 1 (1):317-332.
    Predictive analytics, empowered by generative AI and cloud technologies, has the potential to revolutionize educational practices by facilitating early intervention and proactive support for students. This chapter explores the integration of predictive analytics in educational settings, focusing on how datadriven insights can identify at- risk students and tailor interventions to their specific needs. By leveraging generative AI algorithms, educators can analyze vast amounts of data, including academic performance, engagement levels, and socio- emotional factors, to predict potential challenges before they escalate. (...)
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  46. Gandhi, Kant and Superstition.Apaar Kumar - 2020 - In S. K. Srivastava & Ashok Vohra, Gandhi in Contemporary Times. Routledge India. pp. 72-84.
    By examining and comparing Gandhi’s statement that the Bihar earthquake of 1934 should be seen as divine punishment for the sin of untouchability with a similar claim in Kant’s writings, I argue that while Gandhi and Kant are, broadly speaking, remarkably similar in the way in which they relate morality, religion, and politics in conceptualising the categories of faith and superstition, they also seem to differ in their vocabularies and the propositional content of their respective moral psychologies. However, if we (...)
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  47. AI-powered Legal Documentation Assistant.G. Kiran Kumar - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (1):1-13.
    This project focuses on simplifying the legal documentation process for small businessesand individuals in India. Utilizing advanced technologies such as Optical Character Recognition (OCR) and AI-driven models, the system automatically drafts and simplifies complex legaldocuments. The platform features a user-friendly interface for easy input, integration withup-to-date legal resources, and ensures strict data privacy and security. By reducing the time, effort, and potential errors associated with legal documentation, the assistant aims to improve accessibility to legal services and promotegreater access to justice. (...)
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  48. Societal-Level Versus Individual-Level Predictions of Ethical Behavior: A 48-Society Study of Collectivism and Individualism.David A. Ralston, Carolyn P. Egri, Olivier Furrer, Min-Hsun Kuo, Yongjuan Li, Florian Wangenheim, Marina Dabic, Irina Naoumova, Katsuhiko Shimizu, María Teresa Garza Carranza, Ping Ping Fu, Vojko V. Potocan, Andre Pekerti, Tomasz Lenartowicz, Narasimhan Srinivasan, Tania Casado, Ana Maria Rossi, Erna Szabo, Arif Butt, Ian Palmer, Prem Ramburuth, David M. Brock, Jane Terpstra-Tong, Ilya Grison, Emmanuelle Reynaud, Malika Richards, Philip Hallinger, Francisco B. Castro, Jaime Ruiz-Gutiérrez, Laurie Milton, Mahfooz Ansari, Arunas Starkus, Audra Mockaitis, Tevfik Dalgic, Fidel León-Darder, Hung Vu Thanh, Yong-lin Moon, Mario Molteni, Yongqing Fang, Jose Pla-Barber, Ruth Alas, Isabelle Maignan, Jorge C. Jesuino, Chay-Hoon Lee, Joel D. Nicholson, Ho-Beng Chia, Wade Danis, Ajantha S. Dharmasiri & Mark Weber - 2014 - Journal of Business Ethics 122 (2):283–306.
    Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to (...)
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  49. Teaching Self-Respect: The Very Idea.Apaar Kumar - 2020 - In John Russon, Siby K. George & P. G. Jung, Teaching in Unequal Societies. New Delhi: Bloomsbury. pp. 79-107.
    In this essay, I investigate if self-respect as Robin Dillon conceives of it in her essay “Self-Respect: Moral, Emotional, Political” can be taught if we presuppose Barbara Herman’s theory of moral education. For Dillon, self-respect is a nonpropositionally held and emotionally forged interpretive orientation that determines one’s understanding of oneself. Further, it cannot be reconstituted through reason if it has been damaged. The claim that reason cannot remedy a lack of self-respect in persons is at odds with Herman’s reason-based training (...)
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  50.  98
    Sentimental Analysis of Social Media Presence.G. Kiran Kumar - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (1):1-10.
    Social media has transformedevery communication and posting modality into sharing and expression of opinions. Everyday, an enormous amount of data shared on Twitter, Facebook, Reddit, and Instagram portrays varied emotions that range between positive endorsements and negative criticisms. This is the very aspect of sentiments that make up the core basis through which marketing strategies are developed, along with improvement of customer services and the promotion of brand loyalty for businesses and organizations. Traditional approaches to sentiment analysis will struggle with (...)
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