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344 articles for “Multi-Control”
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AI in Healthcare: Drug Delivery in Tuberculosis
Abstract: Tuberculosis (TB) , mainly caused by Mycobacterium tuberculosis, remains a major global health burden, accounting for millions of new infections and deaths each year. Although progress has been made in diagnosis and treatment, the growing threat of multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB makes disease control increasingly difficult. Conventional diagnostic approaches such as chest X-rays, sputum smear microscopy, and culture methods continue to play an important role, but they …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 9–17 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
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Plant-Derived Antimicrobials as Next-Generation Solutions to Multidrug Resistance
Abstract: The steady rise of multidrug-resistant (MDR) pathogens is reshaping how clinicians, researchers, and policymakers think about infection control. When bacteria acquire the ability to survive exposure to three or more antibiotic classes at once—whether through efflux pumps, enzyme-mediated drug destruction, target modifications, or reduced membrane permeability—treatment options narrow dramatically, hospital stays lengthen, and mortality climbs. Conventional pharmaceutical pipelines have struggled to keep pace with this biological arms race, pushing the …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
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Autonomous Agent Contracts for Adaptive Supply Chains
Abstract: This paper proposes a novel agent-driven, on-chain coordination layer for manufacturer–distributor–retailer handoffs that automates release, transfer, receipt, and state validation across the supply network. This approach combines belief–desire–intention (BDI) agents with narrowly scoped smart contracts to capture role responsibilities, capacity checks, and escalation policies. It aims to enhance conformance, traceability, and cycle-time reliability without relying on central intermediaries. This proof of concept links supply chain states—such as production-ready, packaged, listed, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 52–60 Read article
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Phubbing, Social Anxiety and Perceived Control in Young Adults
Abstract: This study examines the complex interactions among ten empirical studies on social anxiety, phubbing (phone snubbing), and perceived control. Psychological research has focused a great deal of attention on social anxiety, which is characterized by the fear of being negatively evaluated in social situations. Phubbing, the practice of people prioritizing their phones over interpersonal interactions, has become more common in recent years due to the widespread use of smartphones. This …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 18–25 Read article
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Cyber Security and International Relations: Navigating the Digital Battlefield
Abstract: In the interconnected world of the 21st century, the sphere of international relations extends into the digital realm, where cybersecurity has become an arena of strategic importance. This intricate interplay of technology and geopolitics has birthed a digital battlefield where state and non-state actors engage in actions ranging from espionage to sabotage, thus influencing global stability and order. The phenomenon of cybersecurity in international relations involves multiple facets, including but …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 12–19 Read article
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A comprehensive Review on the Impact of Aquatic Pollution on Fish
Abstract: Freshwater is one of the most important natural resources that are used for various activities in our daily lives. Here, 70% of our Nation’s liquid freshwater is unfit for consumption. Effect of heavy metals on hydrophobicity provides general information about the distribution of heavy metals in the atmosphere from different sources around the world, such as atmospheric precipitation, river and lake sediments. Human activities such as chemicals are increasing day …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–12 Read article
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Exploring the Future of Smart Homes: Voice Control Technologies and Applications
Abstract: With the use of voice commands, smartphones, and the Internet of Things, homeowners may utilise an intelligent house automation system, a technology-driven solution, to control and automate a variety of home systems and gadgets from a central hub. The system typically includes equipment such as smart thermostats, smart lighting, smart locks, security systems, and entertainment systems. With the increasing prevalence of IoT, smart homes have become increasingly popular, and automation …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 31–37 Read article
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Multifunctional Car Covering System
Abstract: Traditional car covers are heavy, consume much space, and are not suitable for today’s advanced generation. They fail to meet the evolving necessities of modern vehicle protection. Often, they are operated manually, offer minimal security, and lack advanced features such as automated deployment or integrated maintenance systems. To address these problems and limitations, this project introduces an innovative and multifunctional smart car covering system powered by a wiper-like mechanism and …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Crystal Defects and Their Characterization in Modern Materials Science
Abstract: The physical and chemical properties of crystalline solids are fundamentally dictated by deviations from structural perfection, known as crystal defects. From the point-scale vacancies that drive diffusion to the planar boundaries that determine mechanical strength, defects serve as the primary "tuning knobs" in material design. This review provides a comprehensive examination of point, line, and planar defects, exploring their formation energetics and their role in plastic deformation via crystallographic slip. …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 15–19 Read article
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Understanding the Impact: Adult BCG Vaccination in the Fight Against Tuberculosis
Abstract: Tuberculosis (TB) remains a big global health challenge, with significant mortality rates, especially in developing nations. India holds most TB cases throughout the globe. As HIV rates, multidrug-resistant tuberculosis (MDR-TB), and extensively drug-resistant tuberculosis (XDR-TB) continue to increase, the situation is deteriorating. These all come in the way of the End TB epidemic campaign by the World Health Organization (WHO) by 2030. Immunology and vaccinology represent critical fronts in TB …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–6 Read article
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Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
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Multi-Layer Aluminum–Polymer Hybrid Structures for Improved Automotive Impact Performance
Abstract: Layered metal–polymer hybrid laminates have emerged as promising candidates for lightweight automotive structures requiring high impact resistance and structural reliability. In this study, aluminum/glass–epoxy hybrid laminates were fabricated using a symmetric stacking sequence through hot compression molding to evaluate their mechanical and energy absorption performance. Density analysis revealed an average measured density of 2.34 g/cm³, closely matching the theoretical value of 2.36 g/cm³, with a deviation of approximately 1.02%, indicating …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 42–53 Read article
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Robust Design of Subsonic Airfoil by Multi-Objective Six Sigma Approach
Abstract: It is well known that aerodynamic performance of a UAV is very sensitive to the wing shape and flight conditions, and inevitable uncertainties such as wing manufacturing errors and wind variations may lead to drastic deterioration in its aerodynamic performance. In the UAV wing design, therefore, it is required not to use the conventional design optimization approach considering only optimality of performance at the design point, but to use the …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Examining the Impact of a Nurse Navigator Program on Anxiety, Psychological Well-being, and Quality of Life in Breast Cancer Patients at a Tertiary Care Hospital in Haryana: A Randomized Controlled Trial
Abstract: Background of study: Breast cancer stands as the leading cancer type affecting women and remains a significant contributor to female mortality. It is a complex ailment influenced by multiple factors. Globally, in 2020, approximately 2.3 million women received diagnoses of breast cancer, resulting in 685,000 fatalities. This condition can profoundly impact various aspects of a person's existence, encompassing physical, psychological, emotional, social, and familial spheres. A notable observation is the …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 31–39 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article