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1091 articles for “AI application”
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Preparing Chitosan Hybrid Nanocomposites by Novel Additives for Wound Healing
Abstract: Biomaterials made from chitosan have been discovered to be particularly unique marine polysaccharides (or polycarbohydrates) with a wide range of physico-chemical and biological characteristics suitable for biomedicine field. Due to net positive charge of chitosan, it is essentially capable of chemically binding with negatively charged surfaces A biodegradable blend of chitosan nanoparticles (CHT), poly vinyl alcohol (PVA) and polyethylene glycol (PEG) hybridized with metal oxides nanopowders were prepared and used …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 9–23 Read article
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Past Life Regression and Psychiatry: A Critical Analysis
Abstract: Past Life Regression (PLR) is a controversial therapeutic approach. It is done through hypnosis, which recovers memories of previous lives. Although PLR has gained some popularity in alternative medicine, it is heavily criticized in mainstream psychiatry. As the effects have not been empirically validated. This study provides a comprehensive exploration of Past Life Regression (PLR), offering insights into how it can be understood within the realm of psychiatry. It delves …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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A Comprehensive Study of Risk-Adaptive Access Control in Advanced Database Management Systems
Abstract: The current control methods for accession of a crucial resource often struggle to provide adequate security in dynamic and complex advanced database management systems (DBMS). These static models lack the flexibility to adapt to evolving threats and contextual changes, leaving potential vulnerabilities. Risk-Adaptive Access Control (RadAC) emerges as a sophisticated solution, integrating real-time risk assessment into authorization decisions to dynamically adjust access permissions. This review article provides a comprehensive study …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Smart Home Automation Systems: AI Approaches for Monitoring and Reducing Power Consumption
Abstract: This study comprehends a Bluetooth controlled home automation system that users can control remotely through a specific Android platform. Technology advancements lead to homes that acquire greater intelligence. Remote-controlled switches continue replacing standard wall switches because they operate as part of system-wide central control gear in contemporary homes. Today's users must operate wall-mounted manual switches in every room of the house. Members of both these populations face an additional obstacle …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 10–17 Read article
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Virtual Reality in Education: A Transformative Tool for Enhanced Learning
Abstract: Virtual reality (VR) is a revolutionary technology in education, providing immersive and interactive experiences that can transform the learning process and enhance student engagement with educational content. This review paper provides an in-depth analysis of the applications of VR in education, exploring its effectiveness in enhancing learning outcomes, student engagement, and critical thinking skills. Additionally, the paper delves into the challenges and opportunities associated with integrating VR technology into educational …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
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Ligand Based Drug Virtual Screening in Computer Aided Drug Design: A Review
Abstract: Computer-Aided Drug Design (CADD) has revolutionized the drug discovery process by providing efficient and cost-effective methods for identifying potential drug candidates. Within CADD, ligandbased virtual screening techniques play a pivotal role in the early stages of drug discovery. This review provides a comprehensive overview of ligand-based drug virtual screening, focusing on its principles, applications, challenges, and future directions. Fundamentals of ligand-based virtual screening, including pharmacophore-based methods, similarity searching, and machine …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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A Review on Effect of Cryogenic Treatment on Wear Resistant Bearing Materials for Automotive Application
Abstract: Cryogenic processing has come as a successful supplementary process to common heat treatment, especially in improving the wear-resistant performance of materials employed in in-vehicle applications. This sub-zero processing is normally performed following quenching and before tempering, during which materials are subjected to extremely low temperatures, typically around -196°C, for prolonged periods of 24 hours. Cryogenic treatment, which involves subjecting materials to extremely low temperatures, has demonstrated promising results in changing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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Impact of Biofuel Adoption on Health, Environment, and Energy in Rural and Urban Applications
Abstract: The adoption of biofuels as an alternative to conventional fossil fuels has garnered significant attention due to its potential to address pressing global challenges related to health, environmental sustainability, and energy security. This research investigates the multifaceted impact of biofuel adoption in rural and urban settings, focusing on health benefits, environmental implications, and energy sustainability. Biofuels, derived from renewable biomass sources, offer a cleaner combustion profile, reducing harmful emissions such …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Optimization and CFD Analysis of Fin-Enhanced Cooling Systems for Improved PV Efficiency
Abstract: This study is about optimizing and doing a CFD (Computational Fluid Dynamics) analysis of fin-enhanced cooling systems to improve the efficiency of photovoltaic (PV) systems. Photovoltaic (PV) panels are sensitive to temperature changes; the temperature influences the performance and lifespan of these panels. High temperatures cause their electrical output to reduce, thereby limiting their performance. In order to address this problem, several coolants such as air, liquid, phase change materials, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 19–29 Read article
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The Technological Evolution of Conventional Engines in Transport Systems Aimed at Mitigating Atmospheric Pollutant Emissions
Abstract: The automotive sector is a major contributor to atmospheric pollution and faces increasing pressure to adopt sustainable energy alternatives. This study explores technological innovations aimed at reducing vehicle emissions, focusing on advancements in internal combustion engine efficiency and the expanding role of renewable fuels such as ethanol and biodiesel. The transition to electric vehicles is also analyzed, emphasizing benefits in emission reduction and challenges related to charging infrastructure and battery …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 22–32 Read article
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A Smart Stove System for cooking food: A study
Abstract: Traditional cooking methods often suffer from inconsistencies, safety concerns, and a lack of real- time feedback, leading to suboptimal culinary results, potential hazards, and inefficient energy consumption. This paper introduces the design and implementation of an innovative Smart Stove System engineered to address these challenges comprehensively. Leveraging Internet of Things (IoT) principles, the system integrates an array of precise sensors (e.g., temperature, flame/gas detection, weight) with a sophisticated microcontroller, smart …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Energy-Aware Task Offloading in 6G-Enabled Mobile Edge Computing Environments
Abstract: The emergence of sixth-generation (6G) wireless communication networks is expected to revolutionize future mobile systems by enabling ultra-low latency communication, extremely high data rates, massive connectivity, and intelligent network management. In parallel, mobile edge computing (MEC) has gained significant attention as a promising paradigm that brings computational resources closer to end users, thereby alleviating network congestion and reducing end-to-end service delays. Despite these advantages, the rapid growth of computation-intensive and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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IoT Innovations: Sensors Integration and Communication for Smart Environments Journal
Abstract: In today’s rapidly advancing technological landscape, companies are racing to embrace the transformative concept of the Internet of Things (IoT), merging physical objects with the vast realm of the internet. This integration, facilitated by smart hardware and software, promises a seamless network where objects communicate and actively engage in our daily lives. However, the journey to this interconnected future is not without hurdles. Addressing the myriad challenges from diverse perspectives …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Guanidine as a Starting Material for Preparing a Scale Inhibitor
Abstract: Oilfield scale inhibition, which can obstruct fluid flow in pipelines, valves, and pumps during oil production and processing, is critical for preventing scale formation. Effective scale inhibitors (SIs) minimize downtime and enhance productivity by preventing the build-up of insoluble crystals in water systems. In oil processing, scale formation results from the precipitation of salts due to incompatible aqueous phases, leading to equipment blockage. Phosphonates are highly effective chelating agents for …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 15–28 Read article
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Innovative Approaches in Bioinspired and Biomimetic Membrane Technologies: Bridging Nature and Engineering
Abstract: Bioinspired and biomimetic membranes represent a ground breaking advancement in membrane technology, offering innovative solutions to critical global challenges in water purification, chemical separation, and energy conversion. These membranes leverage the exceptional transport properties of biological systems, particularly through the incorporation of aquaporin proteins, which facilitate rapid and selective water transport. This review synthesises recent developments in aquaporin-based membranes, highlighting their remarkable efficiency in desalination processes, where they serve as …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 53–60 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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The Role of Natural Products in Antiviral Drug Discovery: Insights into Mechanisms and Therapeutic Potential
Abstract: Drug discovery has always relied heavily on natural sources, especially when it comes to creating antiviral medications. This review explores the therapeutic potential of various natural products, including plant extracts, marine compounds, and microbial metabolites, in the fight against viral infections. We examine the mechanisms of action by which these natural compounds exert their antiviral effects, including direct inhibition of viral replication, modulation of host immune responses, and interference with …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 36–47 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article