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515 articles for “Model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
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Historical Reflection on the Imperative of Security Sector Reform (SSR) in A Democratic Society
Abstract: The end of Cold War heralded “Hot Peace” into the international system. Before then, people thought that the conclusion of the Cold War would bring about a lasting peace on a global scale. However, this noble aspiration was not 1a be s- September-il, amply and—brutally demonstrated besides, the increasing wave of terrorism. Global democratization efforts brought about the end of the Cold War. People all across the world took advantage …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 09–18 Read article
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Glaucoma Detection Using CNN
Abstract: The word “glaucoma” refers to both the progressive loss of retinal cells within optic nerve, and the gradual loss of vision caused by optic neuropathy. A condition that affects eye vision is called glaucoma. This condition is thought to be permanent and causes visual impairment. There are no early warning signs of this glaucoma in them. The effect is so subtle that we could not even observe that your vision …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 7–15 Read article
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A Comparative Study Between GSM and CNN to Develop Gesture Detection Based Alert System for Women Safety
Abstract: Women’s safety is a pressing issue in today’s world, and technology can play a crucial role in addressing it. This project introduces a facial expression recognition device that uses Convolution Neural Network (CNN) technology and develop it’s comparison with an expression system with use of GSM is done. Unlike traditional methods relying on manual activation or dedicated devices, this system reacts instantly to threatening situations by recognizing predefined gestures, ensuring …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 24–30 Read article
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A Comparative Analysis of Factors Contributing to Relapse in Alcohol and Opioid Dependence Among Patients Admitted to Selected Hospitals in Ludhiana, Punjab.
Abstract: Introduction: Substance abuse involves the dangerous or detrimental use of psychoactive substances, such as alcohol and illegal drugs. The use of these substances can result in dependence syndrome, which encompasses a range of behavioral, cognitive, and physiological effects that arise from ongoing substance use. Objectives: This study was carried out to examine the factors linked to relapse in alcohol and opioid dependence among patients admitted to selected hospitals in Ludhiana, …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Engineering Perspectives: Thermal and Structural Examination of Disc Brakes for Light Vehicles
Abstract: The procedure of braking transforms the kinetic energy of a car into mechanical energy that needs to be released as heat. High temperatures may result from the frictional heat produced at the disc and pad interface during the braking phase. Frictional heat produced on the rotor surface can contribute to an excessive rise in temperature, which can have unfavorable effects including premature wear, brake fluid vaporization (BFV), thermally excited vibrations …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 2, 2023 · pp. 16–23 Read article
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An Insilico Study of Isobutrin and Phosphorylase Kinase - A Ray of Hope for Psoriasis Patients – Clinical Hypothesis
Abstract: Psoriasis is a chronic, hyper-proliferative and inflammatory skin disease. Increased levels of the calmodulin-containing enzyme, namely, phosphorylase kinase (PhK), were observed in the human epidermis of the active psoriasis cases. Thus PhK is a potential biomarker for the diagnosis and progression of the skin disease, namely, psoriasis. The search for the potential molecules that could supress the over expression of PhK is underway and any break-through in this direction leads …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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Ants in Ecosystems and Agriculture: A Comprehensive Review
Abstract: Nearly 60% of the world’s habitats are underutilized. And current agricultural practices are blamed for contributing to soil carbon depletion and biodiversity loss. Climate change, habitat fragmentation, and other challenges hinder species development, leading to projected shifts in species distribution. This calls for alternative management strategies. The organizational structure of social insects, especially ants, offers a model for improved ants account for half of all insect biomass. It plays an …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 15–22 Read article
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Preserving Saccharomyces cerevisiae Culture for Bee Health and Production
Abstract: Saccharomyces cerevisiae, a single-celled fungus also known as baker’s and brewer’s yeast, is extensively used in brewing, baking, and winemaking due to its robust genetics and utility as a model organism in scientific research. Its role extends beyond these applications into apiculture, where it is utilized to produce supplements and pollen replacements for honeybees. These yeast-based supplements are crucial, especially during times of pollen scarcity or colony stress, as they …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 23–27 Read article
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Heart Disease Evaluation Through Echocardiography Using CNN, ResetNet50, VGG16, and Image Processing
Abstract: Heart conditions stand out as primary contributors to untimely mortality among adults aged 30 and above, notably among those grappling with elevated cholesterol levels and diabetes. Detecting such ailments often necessitates the use of an echocardiogram, providing an intricate portrayal of the heart. However, precise analysis hinges on both the proper functioning of the echocardiogram apparatus and the proficiency of a skilled radiologist, a condition not always met. Manual scrutiny …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Cyberattack Detection and Prevention Using Empowering AI Tools
Abstract: With more organizations entering the digital transformation sphere, the opportunities and risks in cyberspace have increased and gone up in levels of sophistication and occurrence. Many of these developments are attributed to the limits of existing cyber security solutions where addressing new threats requires advanced detection technologies and techniques. Cyber threats gained a new meaning and dimension with artificial intelligence (AI) coming into play in ways that supplement security systems …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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Exhaustive Search Meets DNA Sequencing: A Comprehensive Review of TSP-Based Approaches
Abstract: Exhaustive search is a highly computational complex algorithm that checks every possibility to obtain the best solution. We illustrate an exhaustive search by applying it to three important problems: the traveling salesman problem, the knapsack problem, and the assignment problem. In this paper, we took a traveling salesman problem to explain DNA Sequencing. Since traveling salesman problem is an algorithmic problem that finds the shortest route between a set of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Rooftop Garden: An Initiative of Sovanagar High School
Abstract: This paper examines the rooftop garden initiative at Sovanagar High School (HS), Malda, West Bengal, a project aimed at addressing a growing rural institution's environmental and educational needs. As the school's expansion reduced available green spaces, the administration sought an innovative solution that would restore greenery and serve as an educational resource. The rooftop garden integrates sustainable practices such as rainwater harvesting, vermicomposting, and the use of recycled materials, aligning …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 1, 2024 · pp. 10–17 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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CampusX: Empowering College Selection with 3D insights using machine Learning approach.
Abstract: CampusX redefines college selection with dynamic 3D insights, empowering students to navigate campuses virtually. Utilizing cutting-edge machine learning and visualization techniques, it transforms static data into interactive experiences. Personalized comparisons enable informed decision-making, while predictive analytics forecast future campus developments. With a user-centric interface and robust privacy protocols, CampusX ensures seamless exploration and data security. This innovative platform bridges the gap between prospective students and their ideal educational environments, revolutionizing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 23–29 Read article