Results for 'Sai Sirimulla'

93 found
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  1.  19
    Decentralized Voting System using Blockchain.Kranthi Kiran Reddy, Gutha Vijay Kumar, Sai Sirimulla, Chandan Singh & Chaithanya Reddy - 2024 - International Journal of Scientific Research in Science, Engineering and Technology 11 (2).
    This article explores the use and impact of voting using blockchain technology. As a result of mounting worries about the honesty and security of conventional voting methods, especially in the digital era, the study tackles the requirement for an open, impenetrable, and robust method of conducting elections. A decentralized application on a blockchain platform is designed and implemented using the technique, which makes use of smart contracts for voter registration, ballot generation, and vote counting. The viability of blockchain technology in (...)
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  2.  51
    A Consortium Blockchain-Enabled Double Auction Mechanism for Peer-To-Peer Energy Trading among Prosumers.Chippa Nithin Bura Sai Varshith - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):8778-8782.
    This paper introduces a novel consortium blockchain-based double auction mechanism designed to optimize peer-to-peer (P2P) energy trading among prosumers. Addressing the inefficiencies of traditional energy markets, our decentralized model empowers prosumers to directly buy and sell surplus energy through an automated, transparent process. Leveraging the inherent security and immutability of blockchain technology, we establish a trustless environment, eliminating intermediaries and reducing transaction costs. The core of our solution lies in a double auction mechanism, which facilitates fair price discovery by enabling (...)
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  3. Hoàn thiện mô hình xếp hạng tín dụng cá nhân tại Ngân hàng TMCP Sài Gòn.Sài Gòn Ngân-Hàng - 2012 - Xếp Hạng Tín Dụng.
    Nghiên cứu để xây dựng chương trình phần mềm chung để cập nhật thông tin từ các TCTD, chi nhánh TCTD cho NHNN. Hiện nay, tuỳ theo việc áp dụng công nghệ của từng TCTD mà có nhiều chương trình báo cáo khác nhau nên chưa đảm bảo chuẩn chung và không đảm bảo an toàn chính xác đối với thông tin đầu vào.
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  4.  19
    The Last Hand You Hold: Deathbed Coherence and the First-Personal Ethics of Dying.Sai Batchu - manuscript
    This paper introduces deathbed coherence, a terminal manifestation of ethical coherence, defined as the firstpersonal alignment between an agent’s life and their diachronic evaluative commitments, grasped in lucid retrospection at the end of life. It argues that such coherence is ethically significant even in the total absence of external recognition, narrative closure, or social consequence. Drawing on work in moral psychology, practical identity theory, and the philosophy of death, the paper contends that the first-personal, private nature of deathbed coherence does (...)
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  5.  75
    Fitness App with Workout,_ Diet, and Motivation (11th edition).Guttula Manognya Bollampally Sai Kiran Reddy, - 2024 - International Journal of Advanced Research in Arts, Science, Engineering and Management 11 (1):3820-3824. Translated by Bollampally Sai Kiran Reddy.
    This paper presents the design and development of a Fitness App that integrates workout plans, dietary recommendations, and motivational features to help users maintain a healthy lifestyle. The app aims to provide users with personalized workout routines, meal plans, and motivational content to keep them engaged throughout their fitness journey. The goal is to create a comprehensive app that empowers users to take control of their health by providing them with the tools and resources they need to achieve their fitness (...)
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  6. Use of Advanced Sensors and Data Analysis Techniques for Structural Health Monitoring.G. Veerabramendra G. Sai Priya, B. Asha Reddy, J. V. S. L. Ramya - 2024 - International Journal of Multidisciplinary and Scientific Emerging Research 12 (3).
    Structural health monitoring (SHM) is crucial for ensuring the safety, longevity, and performance of infrastructures such as bridges, buildings, and dams. Traditional inspection methods often fall short in detecting earlystage structural damage, leading to costly repairs and safety risks. With advancements in sensor technology and data analysis techniques, SHM has transformed into a proactive system capable of real-time monitoring, early damage detection, and predictive maintenance. This paper explores the use of advanced sensors, such as fiber optics, accelerometers, and strain gauges, (...)
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  7.  55
    Facial Emotional Recognition Using Deep Convolutional Neural Networks.Mohammed Danish Hussain Hemish Veeraboina, Surapur Sai Teja, Y. Sai Sameer, Mavuluri Vamsi Krishna Reddy - 2021 - International Journal of Innovative Research in Science, Engineering and Technology 10 (9):12338-12356.
    A face reveals a lot of information about a person's identity, age, sex, race, and emotional as well as psychological state. Facial expressions are often used in the behavioral interpretation of emotions and play a key role in social interactions. Due to its potential applications such as HCI, behavioral science, automatic facial emotion detection is one of the most intriguing and challenging areas in computer vision. Our Facial Emotion Recognition system performs detection and location of faces in a cluttered scene, (...)
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  8.  41
    Intelligent Language Translation and Audio Conversion System using Neural Networks.Chatakonda Sai Madhav P. Abirami - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):8957-8961.
    In today's globalized world, the ability to communicate across different languages is increasingly essential. This project presents an Intelligent Language Translation and Audio Conversion System powered by neural networks, aimed at bridging communication gaps through automated language translation and real-time speech synthesis. The system integrates natural language processing (NLP) and deep learning techniques to translate text from one language to another and convert the translated text into human-like speech using text-to-speech (TTS) models. The architecture comprises three key components: a language (...)
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  9.  22
    IoT Based Peatland Ground Level Water Management Using Machine Learning Model.P. V. Suneetha Vysyaraju Amruthakshaya, Vasamsetty Venkata Sai Kushank, Kommoju Jaswanth Kumar, Garuda Sai Padma, Valle Gopichand, Mantri Sai Mohan - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    The potential for enormous carbon emissions after fires makes peatlands a serious environmental hazard. Effective management is hampered by the labour intensive and real-time data-poor nature of conventional ground water level (GWL) monitoring in peatlands. issue study addressed issue by proposing an IoT system for real-time monitoring that uses neural network-based GWL prediction. The neural network forecasts GWL based on meteorological factors, giving the responsible party more time to take the necessary steps to lower the danger of fire in peatlands. (...)
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  10.  32
    Controlling Any Media via Hand Gestures Using ASL.J. Lethisia Nithiya K. Sri Druthi, K. Sai Kiran, K. Gurukasinath, K. Bhargav - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    In the realm of remote control, my preference is computer manipulation through hand gestures. Recent strides in technology showcase the feasibility of using manual gestures on Arduino platforms, facilitated by cloud computing. A Wi-Fi-based hand gesture computer control system was developed using an ESP-01 Wi-Fi module and an Arduino microcontroller, enabling remote control and monitoring without geographical constraints or time limitations. The ESP8266 Wi-Fi module played a crucial role in establishing wireless communication with an Android application (S Remote) for transmitting (...)
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  11. The Global Media and Information Literacy Week: Moving Towards MIL Cities.Saied Reza Ameli & Alireza Salehi-Nejad - 2019 - Journal of Cyberspace Studies 3 (1):1--4.
    The Global Media and Information Literacy Week commemorates the progress in achieving “MIL for all” by aggregating various MIL-related local and international events and actions across different disciplines around the world.The MIL Global Week 2018, 24 to 31 October, was marked by the United Nations Educational, Scientific and Cultural Organization in collaboration with various organizations including the UN Alliance of Civilizations, the Global Alliance for Partnership on MIL, the International Federation of Library Associations, the International Association of School Libraries, and (...)
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  12.  9
    Financial Fraud Detection Using Value-At-Risk with Machine Learning in Skewed Data.Bangarayyagari Nalanda, Nayakallu Sai Vaishnavi, Peddapothu Siva Mounika, Chinnapareddy Akanksha, Avula Bhavitha & Dr Dhanaraj Cheelu - 2025 - International Journal of Scientific Research in Science, Engineering and Technology 12 (3).
    The significant losses that banks and other financial organizations suffered due to new bank account (NBA) fraud are alarming as the number of online banking service users increases. The inherent skewness and rarity of NBA fraud instances have been a major challenge to the machine learning (ML) models and happen when non-fraud instances outweigh the fraud instances, which leads the ML models to overlook and erroneously consider fraud as non-fraud instances. Such errors can erode the confidence and trust of customers. (...)
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  13.  8
    Automated Cyber Threat Identification and Natural Language Processing.Kuruvamanikindi Venkatesh, M. Sai Kumar, Shaik Mohammed Maaz, Surekari Yashwanth Teja & Dr K. Pavan Kumar - 2025 - International Journal of Scientific Research in Science, Engineering and Technology 12 (3).
    The time window between the disclosure of a new cyber vulnerability and its use by cybercriminals has been getting smaller and smaller over time. Recent episodes, such as the Log4j vulnerability, exemplify this well. Within hours after the exploit being released, attackers started scanning the internet looking for vulnerable hosts to deploy threats like crypto currency miners and ransom ware on vulnerable systems. Thus, it becomes imperative for the cybersecurity defense strategy to detect threats and their capabilities as early as (...)
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  14. Harmony in Chinese Thought: A Philosophical Introduction.Chenyang Li, Sai Hang Kwok & Dascha Düring (eds.) - 2021 - Lanham: Rowman & Littlefield Publishers.
    He (和), or harmony, has traditionally been a central concept in Chinese thought, and to this day continues to shape the way in which people in China and East Asia think about ethics and politics. Yet, there is no systematic and comprehensive introduction of harmony as has been variously articulated in different Chinese schools. This edited volume aims to fill this gap. The individual contributions elaborate the conceptions of harmony as these were exemplified in central Chinese schools of thought, including (...)
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  15.  63
    Improving the Efficiency of Renewable Energy Systems using Intelligent Control Algorithms based on Deep Learning.Anees AlmabroukSalihDawoud Kamal Mohamed Saied, Salah H. E. Saleh - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):5444-5456.
    This paper proposes an intelligent control model utilizing deep learning techniques to enhance the efficiency of renewable energy systems, specifically focusing on a hybrid solar and wind energy system. The model aims to address challenges related to energy production fluctuations due to weather conditions, ultimately reducing energy losses. Performance evaluations will compare this algorithm with existing systems to demonstrate its effectiveness.
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  16.  62
    ADB Debugging – Security Risks and Investigations.Dara Sai Ganesh R. Prathiba - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9343-9347.
    With the widespread adoption of mobile devices, Android Debug Bridge (ADB) has become a vital utility for developers and system administrators. However, its open nature presents significant security concerns when left unsecured. This project addresses the potential threats posed by improper ADB usage and introduces a custom-built forensic and security analysis tool designed for cyber security analysts and law enforcement professionals. Leveraging ADB commands, the tool extracts critical data such as logs, installed applications, and system information. On rooted devices, it (...)
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  17.  60
    The Art of Machine Learning: Understanding Generative AI.Seshu Kotha Vishwajeet Raut, Devangam Sai Chaithanya, Kallupalli Lakshmi Narayana - 2025 - International Journal of Multidisciplinary and Scientific Emerging Research 13 (2):854-857.
    Generative Artificial Intelligence (AI) is rapidly emerging as one of the most innovative and transformative technologies in the field of machine learning. Unlike traditional AI, which focuses on classification and prediction tasks, generative AI is designed to create new, original content, such as images, music, text, and even software code. This paper delves into the foundational concepts of generative AI, highlighting its core models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. We explore the applications of generative (...)
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  18.  54
    Smart Traffic Analysis, Monitoring, and Density Estimation System Using YOLOv8.N. Surya Prakash E. Benitha Sowmiya, Y. Sai Phani Chandra, S. Hemarjun Kishore, G. Nithish Goud - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9369-9379.
    Smart Traffic Analysis, Monitoring, and Density Estimation System Using YOLOv8 and DeepSORT, aims to provide an efficient and real-time solution for vehicle detection, tracking, and speed estimation in traffic surveillance. The system leverages YOLOv8 (You Only Look Once version 8) for high-precision object detection and integrates DeepSORT (Simple Online and Realtime Tracker with a Deep Association Metric) for multi-object tracking, ensuring accurate identification and movement tracking of vehicles across video frames. The YOLOv8 model is trained on large-scale datasets for object (...)
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  19.  30
    Suicidal Ideation Detection System using Hybrid Machine Learning and NLP Techniques.S. Ajay Kumar DrK. V. Shiny, M. Sai Sasank Reddy, D. Vishnu Vardhan Reddy, P. Naveen Kumar - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    Every year, approximately 800,000 people lose their lives to suicide, underscoring the urgent need to identify individuals at risk. With the widespread use of social media, many individuals openly share their thoughts, including expressions of suicidal ideation, providing an opportunity for timely intervention. This study introduces an advanced system for detecting suicidal content on social media platforms using a combination of Natural Language Processing (NLP), Deep Learning, and Machine Learning techniques. The system leverages keyword-based detection, sentiment analysis, and contextual NLP (...)
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  20.  21
    Machine Learning-Based Fraudulent and Harmful Link Detection System.Vardineni Shiva Teja S. Sarjun Beevi, Venanka Sai Nithin, Kavati Venkatesh, Chintala Sai Rohit - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9506-9510.
    Phishing sites which expects to take the victims confidential data by diverting them to surf a fake website page that resembles a honest to goodness one is another type of criminal acts through the internet and its one of the especially concerns toward numerous areas including e-managing an account and retailing. Phishing site detection is truly an unpredictable and element issue including numerous components and criteria that are not stable. On account of the last and in addition ambiguities in arranging (...)
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  21.  19
    Software Behaviour Prediction Utilizing MultiLabel Classification and Long Short-Term Memory Networks.R. Swetha Palla Siva, Sanapathi Sai Sameera, Kalagarla Dileep Kumar, Madagala Nava Bulli Sai Ganesh, Mittireddi Dhananjaya Rao - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    Program behaviour prediction is essential for confirming program attributes and guaranteeing system dependability. The interleaving of execution pathways caused by features like concurrency and resource restrictions makes it especially difficult to understand the behaviour of large software systems. As a result, it might be quite difficult to predict how such software would behave. We provide a Software Behaviour Prediction (SBP) model that fully captures and precisely forecasts software behaviour to overcome this difficulty. The SBP model increases the precision and effectiveness (...)
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  22. Density Based Traffic Control Signaling Using IR sensors.Tenepalli Kalyan Sai Manikanta Chari & SaiTeja Tutika - 2019 - IJEAIS 3 (3):51-60.
    Abstract—Traffic clog is a serious issue in the majority of the urban areas over the world and it has turned into a bad dream for the residents. It is brought about by postponement in flag, improper planning of traffic flagging and so on. The postponement of traffic light is hard coded and it doesn't depend on traffic. In this manner for streamlining traffic control, there is an expanding request in precise snappy programmed framework. This paper is intended to build up (...)
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  23. Data Storage, Security And Techniques In Cloud Computing.R. Dinesh Arpitha & Shobha R. Sai - 2018 - International Journal of Research and Analytical Reviews 5 (4).
    Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses (...)
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  24. Design to Implementation of A Line Follower Robot Using 5 Sensors.Anupoju Sai Vamsi, Badana Manasa, Kocherla Rama Krishna, Tarigoppula Venu & A. N. V. N. Shashank - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (1):42-47.
    Abstract: The main objective is to design a line follower robot is to carry products in the manufacturing process in industries. In this paper, we mainly focused on the design to work the line follower efficiently with lighter weight. The line follower robot designed with 5 sensors to make the robot move in even complex paths. This paper discussed the mechanical and technical issues with the line follower robot and applications in various fields. In the working model, we used black (...)
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  25.  52
    Automated Plant Disease Detection with Machine Learning.T. Poovizhi S. Tarun Kumar, L. Uday Sai, T. Manoj Gupth, , P. Ganesh - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9261-9266.
    The early and accurate detection of plant diseases plays a vital role in minimizing crop damage and enhancing agricultural productivity. Traditional methods for identifying plant diseases—such as manual observation and expert consultations—are often time-consuming, costly, and reliant on the availability of skilled personnel. To overcome these limitations, this study presents an automated system for plant disease detection using advanced machine learning techniques. The proposed framework utilizes convolutional neural networks (CNNs), specifically pretrained models like ResNet and SqueezeNet, to analyze images of (...)
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  26.  32
    Machine Learning Approach for Detection of Financial Fraud Using Value at Risk.Kuppili Yasoda Krishna Bandaru Harika Hasini, Jayanthi Venkata Satya Sai Suresh Kumar, Yanagala Gowthami, Akkisetty Akash Chaithanya, Gantyada Prasanth - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    As more people utilise online banking services, the large losses that banks and other financial institutions sustained because of new bank account (NBA) fraud are concerning. Machine learning (ML) models have faced significant challenges because to the intrinsic skewness and rarity of NBA fraud cases. This occurs when the number of non-fraud instances exceeds the number of fraud instances, causing the ML models to miss and mistakenly regard fraud as non-fraud instances. Customers' confidence and trust may be damaged by such (...)
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  27.  31
    Smart Instruction Detection for IOT Network using BOT Dataset.Payyavulu Uday Kiran Dr M. Maruthupermal, Polamada Obi Reddy, Pedakolimi Siva Sai - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9328-9333.
    IoT Security Enhancement Using Machine Learning for Real-Time Threat Detection. The Internet of Things (IoT) is a network of interconnected devices that communicate over the internet, offering convenience and efficiency but also posing significant security risks. This project focuses on enhancing IoT security by detecting cyber threats such as DDoS, DoS, reconnaissance, and data theft in real-time. The main objective is to improve the accuracy and efficiency of threat detection using machine learning models like Random Forest. The system analyzes key (...)
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  28.  14
    Classification of Dark Web Using Text Based CNN and Topic Weight Model.Kuppili Yasoda Krishna Burle Sudharani, Karuturi Eeshika, Sangireddy Ramu, Gadepalli Sai Gayathri, Gollu Thilok Naidu - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    It is difficult to monitor its users, the Dark Web, an online domain that guarantees user anonymity, has grown to be a hub for illicit activity and a source of information about cyberattacks. This study looked at how the Dark Web is categorised in connection with various online dangers. To identify vector types appropriate for machine learning categorisation, we analysed words from the Dark Web. Conventional techniques that build features by using all Dark Web texts produce vectors that contain every (...)
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  29.  71
    Smart Mirror Skin Care Recommendation based on Machine Learning.K. Sathiya Priya K. Vishwanth, L. Raju, M. Sai Santhosh, M. Sandeep, - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):8991-8998.
    The growing use of smart technology in personal grooming has resulted in novel uses such as smart mirrors to analyze the skin health and offer skincare advice. Here is a machine learning-based smart mirror framework that inspects facial skin conditions and gives individualized skincare advice. The framework employs computer vision and deep learning methods to identify and evaluate typical skin issues like acne, wrinkles, pigmentation, dryness, oiliness, and dark circles. By taking facial images with high resolution, the smart mirror derives (...)
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  30.  53
    Predicting the Fraud in Auto Insurance Claims.V. Kanchana D. Chanikya Varma, D. Deepak, D. Sai Nithin, E. Narotham Reddy - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9231-9234.
    The auto insurance industry is plagued by fraudulent claims, resulting in significant financial losses and increased premiums for policyholders. To combat this issue, insurers are turning to advanced analytics and machine learning techniques to identify and prevent fraudulent activity. By analyzing a vast array of data points, including claimant information, vehicle details, and accident reports, insurers can build predictive models that detect patterns and anomalies indicative of fraud. These models can identify red flags such as inconsistent or suspicious claims, exaggerated (...)
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  31.  46
    NLP for Identifying Mental Health Issues Suicide and Depression Detection.N. Lokesh G. S. Uday Kumar, N. R. Divya Sree, P. Mohan Sai, Shaik Arfath - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9359-9368.
    Natural Language Processing (NLP), a subset of Artificial Intelligence (AI), has emerged as a powerful tool in analyzing human language to detect underlying mental health issues such as depression and suicidal tendencies. By leveraging techniques in machine learning and deep learning, NLP systems can process and interpret textual data from diverse sources like social media, forums, and online journals to identify patterns and linguistic markers associated with mental health conditions. These markers include the use of emotionally charged words, changes in (...)
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  32.  40
    Android Malware Detection.Thadukala Sai Kumar K. Kotteeswari, Amugadda Nitish Kumar, Nallagorla Ashok - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9318-9322.
    With the rapid expansion of Android-based mobile applications, ensuring user security and privacy has become a growing concern. Android's open-source nature and widespread adoption have made it a prime target for malware developers. Traditional malware detection approaches, such as signature-based and heuristic techniques, are increasingly insufficient against sophisticated and evolving threats. This project aims to develop an intelligent Android malware detection system using machine learning techniques to identify malicious applications based on behavioral and static features extracted from APK files. The (...)
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  33.  38
    An Asymmetric Loss with Anomaly Detection using LSTM Framework for Power Consumption Prediction.B. Suresh DrK. Sivaraman, Thodeti Ajay, Thatikonda Abhiram, Thomala Sai Kiran - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9348-9352.
    Building an accurate load forecasting model with minimal under predictions is vital to prevent any undesired power outages due to underproduction of electricity. However, the power consumption patterns of the residential sector contain fluctuations and anomalies making them challenging to predict. In this paper, we propose multiple Long Short-Term Memory (LSTM) frameworks with different asymmetric loss functions to impose a higher penalty on underpredictions. We also apply a density based spatial clustering of applications with noise (DBSCAN) anomaly detection approach, prior (...)
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  34.  28
    Enhancing Agricultural Productivity through Deep Learning based Plant Disease Detection and Diagnosis.Putta Sai Swaroop Dr S. Maruthuperumal, Pebbili Jayanth Nikhil, Pendli Ajay Kumar - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    By Agriculture plays a major role in developing countries like India, however the food security still remains a vital issue. Most of the crops get wasted due to lack of storage facility, transportation, and plant diseases. More than 15% of the crops get wasted in India due to diseases and hence it has become one of the major concern to be resolved. There is a need of automatic system that can identify these diseases and help farmers to take appropriate steps (...)
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  35.  28
    Blood Group Detection using Image Processing and Fingerprints.T. Shakila K. V. Kalyan Ram, K. Eswara Sai, K. Kasi Reddy, K. Karthik Reddy - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4):9542-9550.
    The classification and prediction of blood group is most important aspect for the transfusion of blood. In present situations, they are done in laboratory using manual process. This is a time-consuming process and hence need manual energy. To overcome the constraints in the prediction of conventional methods in blood group, the artificial intelligence is implemented. This includes the image processing techniques with segmentation process to detect the classification of blood group. They are done through MATLAB simulations to detect the blood (...)
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  36.  28
    Predicting of Academic Achievement of Student Using Machine Learning Model.Ramarapu Bangari Moola Koushik, Koduri Bhava Priya, Kshatriya Vaishnavi, , Kella Sai Ganesh Pavan Kumar - 2025 - International Journal of Innovative Research in Science Engineering and Technology 14 (4).
    Predicting university student graduation is a beneficial tool for both students and institutions. With the help of this predictive capacity, students may make well-informed decisions about their academic and career paths, and institutions can proactively identify students who may not graduate and offer tailored support to ensure their success. The use of machine learning for predicting university student graduation has drawn more attention in recent years. Large datasets of student academic performance data can be used to train machine learning algorithms (...)
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  37. Improving By Ball Burnishing For Internal Turned Surfaces.Asmaa Tharwat Mohammed, Muahmmad Muhammad El-Sayed Kesba & Fayez El-Saied Abu-Gharbia - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (8):39-50.
    Abstract: The paper presented is a work started in summer 2014 for improving surfaces of turned holes. The work was confined to two materials; aluminum alloy and brass alloy. The internal machined surfaces were burnished by ball burnishing tools. Experimental work was carried out on a lathe machine to establish the effect of the internal ball burnishing parameters; namely, burnishing feed rate, speed, force and number of tool passes on the Surface roughness and surface hardness. The operation was carried out (...)
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  38. Tác động của thái độ xanh đến hành vi làm việc xanh của nhân viên: Trường hợp nghiên cứu tại Công ty Thép Sài Gòn (SGC).Vũ Thị Hạnh Tâm - 2024 - Kinh Tế Và Dự Báo.
    Bài viết khám phá tác động thái độ xanh đến hành vi làm việc xanh của nhân viên trong Công ty Thép Sài Gòn. Nghiên cứu sử dụng phương pháp lấy mẫu ngẫu nhiên đơn giản và thu thập dữ liệu sơ cấp thông qua bảng câu hỏi liên quan đến thái độ xanh và hành vi làm việc xanh. Các phân tích đơn biến và hai biến được thực hiện để phân tích dữ liệu. Kết quả nghiên cứu cho (...)
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  39.  33
    Chiến đấu chống lại thông tin sai lệch: Liều tiêm chủng cho tâm lý.Bìm Bịp - 2025 - Xóm Chim.
    Thông tin sai lệch gây ra mối đe dọa đáng kể cho nền dân chủ, sức khỏe cộng đồng và sự bền vững môi trường. Những tuyên bố sai sự thật về vắc-xin, biến đổi khí hậu và tính toàn vẹn của bầu cử có thể tồn tại lâu sau khi bị vạch trần, tiếp tục định hình dư luận và hành vi. Để chống lại ảnh hưởng dai dẳng này, các nhà nghiên cứu đã chuyển sang tiêm chủng tâm (...)
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  40. Thảm họa môi trường: Hậu quả của hành động bảo vệ môi trường sai lầm.Viet-Phuong La & Minh-Hoang Nguyen - manuscript
    Môi trường tự nhiên của trái đất đang phải đối mặt với nhiều thách thức và nguy cơ do hành động con người gây ra. Trong một số trường hợp, các nỗ lực bảo vệ môi trường có thể không chỉ không đem lại lợi ích cho môi trường mà còn gây ra những thảm hoạ nghiêm trọng. Bài luận này sẽ điểm qua một số ví dụ cụ thể về thảm họa môi trường đã xảy ra trong quá khứ (...)
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  41.  26
    Dao động Bắc Đại Tây Dương (NAO) và tín hiệu từ tương lai: Khi sai lệch mô hình che khuất rủi ro cực đoan khí hậu.Trích Cồ - 2025 - Xomchim.Com.
    Dao động Bắc Đại Tây Dương (North Atlantic Oscillation – NAO) là hệ thống áp suất khí quyển chủ chốt ảnh hưởng đến thời tiết mùa đông ở châu Âu và Bắc Mỹ.
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  42.  46
    Lời dối trá trên "chợ thông tin": Giải mã cơ chế lan truyền của thông tin sai lệch.P. K. C. Nghiem - 2025 - Xomchim.Com.
    Nói dối là một hiện tượng xã hội phức tạp, thường định hình niềm tin và gây ảnh hưởng đến xã hội vượt ra ngoài sự thiếu trung thực cá nhân.
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  43. Hậu quả của hành động bảo vệ môi trường sai lầm.Viet-Phuong La & Minh-Hoang Nguyen - manuscript
    Trong một số trường hợp, các nỗ lực bảo vệ môi trường có thể không chỉ không đem lại lợi ích cho môi trường, mà còn gây ra những thảm họa nghiêm trọng.
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  44. In Labirintul rasfrangerilor Nae Ionescu prin discipolii sai Petre TuTea, Emil Cioran, C-Tin Noica, Mircea Eliade, Mircea Vulcanescu, Vasile Bancila.Isabela Vasiliu-Scraba - 2000 - Slobozia [Romania]: Editura Star Tipp.
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  45. Mùa xuân 2024, cây dâu sai trĩu quả.V. Q. Hoàng - 2024 - Thiên Nhiên Quanh Ta.
    Hình ảnh: Quả cây dâu ta, non màu trắng, lớn hồng nhạt, rồi đậm dần. Tới lúc đỏ tươi là sắp chín. Khi chín, quả tím sẫm, thậm chí đen.
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  46. Techno-moral change through solar geoengineering: How geoengineering challenges sustainability.Benjamin Paul Hofbauer - 2022 - Prometheus:82 - 97.
    This article brings a new perspective to the ethical debate on geoengineering through stratospheric aerosol injection (SAI), incorporating the emerging techno-moral change scholarship into the discussion surrounding sustainability. The techno-moral change approach can help us understand different ways in which technology might shape society. First, it helps highlight how values and norms are interrelated. Second, it shows that techno-moral change can happen even if the technology is in no way realized. Through the introduction of two techno-moral vignettes, two diametrically opposed (...)
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  47. On the metaphysics of species.Judith K. Crane - 2004 - Philosophy of Science 71 (2):156-173.
    This paper explains the metaphysical implications of the view that species are individuals (SAI). I first clarify SAI in light of the separate distinctions between individuals and classes, particulars and universals, and abstract and concrete things. I then show why the standard arguments given in defense of SAI are not compelling. Nonetheless, the ontological status of species is linked to the traditional "species problem," in that certain species concepts do entail that species are individuals. I develop the idea that species (...)
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  48. Systemic risks and solar climate engineering research. Integrating technology ethics into the governance of systemic risks.Benjamin P. Hofbauer - 2023 - Journal of Risk Research 26 (12):1383-1395.
    The paper explores how the framework of systemic risks can help govern the risks imposed through solar climate engineering research. The central argument is that a systemic perspective of risk is a useful tool for analysing and assessing the risks imposed through Stratospheric Aerosol Injection (SAI) research. SAI is a form of climate engineering that could cool the planet by enhancing its albedo through the injection of aerosols into the stratosphere. Researching such a technology creates systemic risks with a strong (...)
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  49.  29
    Đất có thể cứu khí hậu không? Tìm hiểu về quá trình cô lập carbon và những giới hạn.Nhàn Xám - 2025 - Xóm Chim.
    Hấp thụ carbon vào đất (soil carbon sequestration) từ lâu đã được xem là một chiến lược đầy hứa hẹn để giảm thiểu biến đổi khí hậu. Bằng cách hút khí carbon dioxide (CO₂) từ khí quyển và lưu trữ nó trong đất thông qua thực vật và chất hữu cơ, quá trình này thường được coi là một giải pháp tự nhiên để giảm nồng độ khí nhà kính. Tuy nhiên, một nghiên cứu tổng quan toàn diện gần đây (...)
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  50. Nutrição Sobre a Reprodução e Fertilidade dos Bovinos.Emanuel Isaque Cordeiro da Silva - manuscript
    APRESENTAÇÃO O material Nutrição sobre a Reprodução e Fertilidade dos Bovinos é fruto de diversas pesquisas realizadas com o rebanho leiteiro do Instituto Agronômico de Pernambuco (IPA) de São Bento do Una em parceria com curso técnico em agropecuária do Instituto Federal de Pernambuco Campus Belo Jardim que visa demonstrar os fatores nutricionais como agentes diretos de alterações no sistema fisiológico do aparelho reprodutivo dos bovinos bem como na fertilidade destes animais. O trabalho estruturado de forma sistemática e mais didática (...)
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