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1261 articles for “Advanced applications”
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Low-cost Machine Learning-Based Sensor-based Activity Recognition for Patients with Financial Difficulties
Abstract: Elderly and schizophrenic patients are compelled to obtain treatment at home due to a lack of resources, putting them at risk for patient neglect and other health issues. This is particularly troublesome for prescription yoga or fitness programs, which are hard for doctors to keep an eye on all the time. We have looked into an automated method that tracks patients’ everyday behaviors using machine learning- based techniques in order …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 7–17 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Advanced Liquid Crystal Polymer Substrate for Flexible Antenna Design
Abstract: A type of thermoplastic polymers known as liquid crystal polymers (LCPs) is frequently used to package millimeter (mm)-wave, microwave, and radio frequency (RF) integrated circuits that operate at frequencies as high as 60GHz. LCPs are of prospective relevance as packaging material for advanced circuits at mm-wave frequencies due to their appealing electrical, thermal, and mechanical qualities and comparatively low cost. Flexible and conformal antennas are made possible by LCP's exceptional …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 233–245 Read article
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Gold Nanoparticle Size, Biodistribution, and Toxicity: Insights from DualEnergy CT
Abstract: Dual-energy and spectral computed tomography (CT) have emerged as powerful platforms for noninvasive, quantitative mapping of nanoparticle biodistribution in vivo. By exploiting the energy-dependent attenuation profiles of high-atomic-number (high-Z) materials, these systems enable material decomposition and element-specific imaging, thereby distinguishing nanoparticle signals from those of soft tissues and conventional iodinated contrast agents. Photon-counting spectral CT further enhances this capability by binning individual photons into multiple energy channels, improving spatial resolution, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Crack Propagation Analysis in Metallic Alloys: A Comparative Study of Traditional and Advanced Materials
Abstract: A vital component of materials science and engineering, crack propagation analysis is essential to determining the structural integrity and dependability of materials. Designing safe and long-lasting structures for a variety of sectors required an understanding of how cracks begin, spread, and interact with a material's microstructure. To guarantee the performance, safety, and dependability of materials in a variety of applications, crack propagation analysis is essential. It offers insightful information about …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 33–41 Read article
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Bimetallic Catalysis in Renewable Energy Applications: A Review
Abstract: The transition to renewable energy sources necessitates innovative catalytic solutions to improve efficiency and sustainability. Bimetallic catalysis, leveraging the synergistic effects of two distinct metals, has emerged as a promising strategy in various renewable energy applications. This review explores the unique properties and mechanisms of bimetallic catalysts, highlighting their roles in biomass conversion, hydrogen production, and CO2 reduction. We delve into the interplay of electronic and geometric effects in these …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 25–29 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Bio-Inspired Membranes in Oral Drug Delivery: A Pathway to Enhanced Permeability and Targeted Therapy
Abstract: Bio-inspired membranes in oral drug delivery represent a significant advancement in pharmaceutical technology, harnessing principles of natural biological systems to improve drug permeability, bioavailability, and targeted release. This review discusses the design, materials, and fabrication techniques used in bio-inspired membranes, with a focus on materials like chitosan, silk fibroin, and synthetic polymers that mimic biological structures. By exploring the mechanisms of drug permeation, such as mucoadhesion and selective permeability, bio-inspired …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 39–52 Read article
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Modern Progress in the Advance of High-Efficiency Perovskite (CH3NH3PbI3) Solar Cell using different Hole Transport Layer
Abstract: One viable alternative for creating new clean energy is solar cells, although they might need additional energy sources. The affordable, easily accessible, and greenhouse gas-free nature of a renewable energy source are its defining characteristics. An alternative that can generate power by converting solar photons into electrical energy is a photovoltaic cell. Over the past 20 years, scientific advancements in photovoltaic technology have presented a number of real-world opportunities that …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 20–29 Read article
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Advancements and Emerging Trends in Thermal Energy Storage Technologies for Sustainable Energy Systems
Abstract: Rising global energy demand and environmental concerns have led researchers to investigate renewable energy sources as alternatives to fossil fuels. Solar and wind power have emerged as key players in the transition to more sustainable energy systems. Thermal energy storage (TES) technologies are critical to addressing the variability of renewable energies, allowing for a better management of energy, improved reliability, etc. This paper analyses the recent advances in the field …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 07–17 Read article
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Optimization Of Solar Drying Parameters for Turmeric and Papaya Leaves: Effects on Nutritional and Bioactive Compound Retention
Abstract: This study focuses on the optimization of solar drying parameters for turmeric and papaya leaves, based on their impact on retention of nutritional and bioactive compounds. One of the most crucial postharvest procedures is solar drying as it decreases the moisture content in plant materials, thereby increasing shelf life and preserving quality. This study considers traditional methods as open sun drying (OSD) and advanced solar dry techniques, including Hybrid Indirect …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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A Comprehensive Study on Improving Contact Lens Performance Through Various Approaches
Abstract: Contact lenses improve vision quality by correcting refractive errors and thus provide a convenient alternative to traditional eyeglasses. Apart from vision enhancement, they have multiple applications in cosmetics, drug delivery, and therapeutic use. The performance of these lenses depends on various factors such as material, design, fitting, and interaction between the lens and the eye. The selection of appropriate materials is crucial for maintaining optimal eye health. Properties like oxygen …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 211–222 Read article
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Juncture of Nanotechnology and IoT: Novel Era of Connectivity
Abstract: The rapid development of Internet of Things(IoT) has had a profound impact on a variety of industries, enabling unprecedented levels of connectivity and data interchange between devices. Through the introduction of nanotechnology into IoT systems, there are unique prospects to improve performance, decrease energy consumption, and miniaturise components, which ultimately overlays the method for the progress of smart gadgets of the next generation. Through an analysis of significant developments in …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Ecological, Economic, and Medical Roles of Fungi: Insights from Mycology in Addressing Global Challenges"
Abstract: The large and diverse kingdom of fungi is vital to ecosystems, industry, agriculture, and medicine. Due to its ecological and biotechnological value, mycology has grown in importance. Fungi are crucial to natural systems and human life, decomposing organic materials, developing mutualistic interactions with plants, and producing antibiotics and fermented products. Recent advancements in molecular biology and genomics have significantly enhanced our understanding of fungal diversity, physiology, and evolutionary processes. These …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 Read article
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Smart Attendance System Using Face Recognition with OpenCV
Abstract: In the past, the conventional method of recording student attendance relied heavily on teachers manually marking entries in a physical register. While simple, this approach is not only time-consuming but also highly vulnerable to errors such as accidental omissions, incorrect entries, or even malpractice in the form of proxy attendance. Moreover, traditional registers lack real-time accessibility, making it difficult to analyze or monitor data instantly. To address these limitations, modern …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 30–39 Read article