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1939 articles for “AI” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Systematic Literature Review on Security Challenges in Cloud–Edge Hybrid Systems
Abstract: Cloud–edge hybrid systems have become a key framework in today’s distributed computing landscape, combining fast, near-source data processing at the edge with the flexible scalability and resource richness of centralized cloud infrastructures. However, this in- tegration introduces a complex security landscape where tradi- tional perimeter- based cloud security measures are insufficient for resource- constrained and physically exposed edge nodes. This literature review synthesizes findings from established research publications (2020–2025), focusing …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 Read article
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A Review on the Regulatory Study for Implementation of Schedule-M Amendments in Pharmaceutical Industries in India
Abstract: A major regulatory change in pharmaceutical manufacturing industry in India is the introduction of the updated Schedule M (2023–2024). The aims to compliance the country's Good Manufacturing Practices (GMP) with international quality standards. The review evaluates the Schedule M amendments implementation strategies, industrial impact and regulatory relevance. Legislative texts, official notices, WHO GMP reports, ICH guidelines, guidance documents of CDSCO and peer-reviewed literature were all explored as part of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Design and Development of a Bladeless Cooling System for Industrial Workers in High-Heat Environments
Abstract: This study presents a bladeless cooling system designed for industrial workers exposed to high-heat environments. The product improves airflow, reduces heat stress, and enhances workplace comfort through optimized design, airflow control, and user-centered testing.
Published in Trends in Mechanical Engineering & Technology Read article
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A Review of Recent Advancements in Machine Learning and Deep Learning Approaches for Pet Diseases Prediction
Abstract: This systematic study assesses recent developments in Machine Learning (ML) and Deep Learning (DL) approaches to predict pet diseases. With the increasing role of Artificial Intelligence (AI) in pet healthcare, this study identifies recent research trends, limitations, and future directions. A comprehensive search was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines in selecting 20 relevant studies from over 300 articles published between 2020 and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 1–6 Read article
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Development and Fabrication of Sun Tracking Solar Panel with Cleaning System
Abstract: The global energy crisis is currently the most pressing issue. Renewable energy resources are being prioritized in today’s world to decreases the need on conventional resources. Solar energy is gaining popularity as a means of increasing renewable energy adoption in a variety of fields. Solar panels which convert sun’s energy into electrical energy are inefficient and costly. Solar tracking systems are the most appropriate technology to increase the efficiency of …
Published in Journal of Production Research & Management Read article
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Modeling the Novel Coronavirus Disease (COVID-19) as Hidden Markov Chains
Abstract: The Hidden Markov Model has over the years been an appropriate method for modeling diseases such as HIV AIDS, heart failure, and so on. With the ongoing pandemic affecting Nigeria by being responsible for 2,745 death cases out of 207,616 confirmed cases as of October 10, 2021, the need to study an important parameter of COVID-19, the case fatality rate by building a model and estimating the case fatality rate …
Published in Research & Reviews : Journal of Statistics Read article
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Zero Energy Cool Chamber (ZECC): A Unique Low-cost Food Preservation System
Abstract: Zero energy cool chamber (ZECC) is an environment friendly or eco-friendly and low-cost post-harvest technology which can be made up with locally available low-cost materials like brick, sand etc. For this reason, it can easily be constructed in rural and remote areas. It is mainly used to store fruits and vegetables. It does not need any electricity, that is why it also saves energy. Temperature and humidity are two important …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Fingerprint Liveliness Detection in Biometric Authentication: A Survey
Abstract: In the world of cyberspace, presentation attacks (PA) on biometric systems have grown to be a major worry. The review of the literature suggests that these systems are more susceptible to spoofing or presentation attacks (PAs), which frequently cause the authentication or identification system to completely fail. To combat against presentation attacks (PAs), the presentation attack detection (PAD) or anti spoofing methods have been developed to validate the liveness of …
Published in Journal Of Network security Read article
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A Critical Study of Research Challenges for Self-adaptive Software
Abstract: Software systems dealing with distributed applications in changing environments normally require human supervision to proceed with activity in all conditions. These rearranging, investigating, and all in all upkeep errands prompt exorbitant and tedious strategies amid the working stage. These issues are principally because of the open-circle structure regularly followed in programming advancement. Hence, there is popularity for administration many-sided quality decrease, administration mechanization, vigor, and accomplishing the majority of the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Implementation of Adders Using Ternary Based Multiple Valued Logic
Abstract: In today’s world VLSI chips are widely used in various branches of Engineering like Voice and Data communication networks, Digital signal processing, Computers, Commercial Electronics, Automobiles, Medicine and many more. So, there have been major advances in IC technology which have both made feasible and generated great interest in electronic circuits which employ more than two discrete levels of signals such circuits called Multiple valued logic circuits, offer several potential …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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Applications of Machine Learning Algorithms in Health Data Science (HDS) for Next Research Directions: A Survey Report
Abstract: At present time, data science is the big trend in computer science. The functioning of this technology is purely based on other advanced technology known as machine learning (ML). Data science and ML are subsets of artificial intelligence (AI). When a process of data science is used in healthcare systems, the new system is known as health data science (HDS). HDS is a branch of data science used to handle …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 16–21 Read article
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Comparative Study to Assess the Attitude of Higher Secondary School Students Regarding Career Counselling in Selected Rural and Urban Schools of Kashmir
Abstract: Background: Career counselling is a process that involves working with a professional to explore and understand various aspects of one's personality, skills, interests, values, and goals to make informed decisions about your career. Aim: The main aim of the study was to assess the attitude of higher secondary school students regarding career counselling in selected rural and urban schools of Kashmir. Methods: This study employed a descriptive research design using …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 11–18 Read article
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Balancing Progress and Privacy: Exploring the Societal Implications of Artificial Intelligence in the Digital Era
Abstract: This study investigates concerns about privacy, accountability, and justice, underscoring the importance of further examining the societal ramifications of artificial intelligence (AI). Interdisciplinary collaboration and responsible AI development will be fostered as a result. The intricate ramifications of AI on various facets of human existence—including labor, personal privacy, social connections, sound judgment, and ethical concerns—are also examined in this essay. To attain a more profound comprehension of the intricate conduct …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 15–19 Read article