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1261 articles for “advanced applications”
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Smart Material–Based Energy Conversion and Storage Solutions in Industrial Engineering Systems
Abstract: A revolutionary step for attaining energy-efficient, sustainable, and intelligent industrial processes is the use of smart materials with industrial engineering systems. Advanced approaches to energy harvesting, conversion, and storage in industrial settings are made possible via smart materials, which are distinguished by their capacity to sense and react dynamically to mechanical, thermal, electrical, and external cues. These materials enable accurate energy recovery from vibrations in machinery, operational loads, waste heat, …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Swift Solutions: The Science and Innovation Behind Fast-Dissolving Tablets
Abstract: Swift solutions in the context of fast dissolving tablets (FDTs) represent an innovative breakthrough in pharmaceutical science, aiming to provide rapid and effective drug delivery for patients who face difficulty swallowing conventional dosage forms. The science and innovation behind FDTs are rooted in advanced formulation techniques, material science, and drug delivery mechanisms that prioritize speed, convenience, and patient compliance. These tablets are formulated to dissolve quickly in the mouth, removing …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 26–36 Read article
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A Review on Hybrid Inorganic–Polymer Analog Nanocomposites Incorporating Pozzolanic Wastes and nano-Additives
Abstract: The recent progress of polymer matrix nanocomposites (PMNCs) reveals that the performance of matrix and filler is at the core of matrix–filler interaction, interfacial bonding, and well-controlled distribution of nanoscale reinforcements. Applying these concepts, we consider inorganic particulate systems as hybrid nanocomposites, in which a discontinuous inorganic matrix is effectively reinforced via synergistic co-incorporation of pozzolanic wastes and nano-additives. In the composite system described above, silica-, alumina-rich pozzolanic materials serve …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 131–141 Read article
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Heat Transfer Performance of ZnO- Ethylene Glycol- Water Nanofluid Using Thermal Lens Technique
Abstract: Nanofluids are engineered fluids used in advanced electronic systems for thermal management. Fluids with dispersed nanoparticles have exhibited remarkable thermal properties. Ethylene glycol (EG) and water mixtures are widely used in many industrial areas. This study investigates the synthesis and heat transfer performance of ZnO-EG, ZnO-water, and ZnO-EG-water nanofluids using a dual-beam thermal lens technique. ZnO is a widely used inorganic, UV-absorbing, multifunctional semiconducting material with applications in various fields …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 440–445 Read article
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Physics of Semiconductors and Electronic Circuits
Abstract: This study talks about the basic ideas behind semiconductor physics and how important they are for making and running modern electronic circuits. It starts with a look at intrinsic and extrinsic semiconductors, going into how charge carriers move, energy band theory, and how doping affects how well the electricity flows. Next, the conversation turns to semiconductor devices like diodes, bipolar junction transistors (BJTs), and field-effect transistors (FETs). The focus is …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 9–17 Read article
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Integration of Polymer and Composite Materials in Modern Culinary Practices: An Assessment of Innovation Gaps in Uttar Pradesh's Hospitality Sector
Abstract: The hospitality industry is experiencing a swift change owing to the material innovation, sustainability demands, and changing consumer expectations. Polymer and composite materials have become key facilitators of contemporary culinary life and as such, they possess the following benefits; lightweight design, durability, thermal resistance, hygiene, and design flexibility in kitchenware, food packages, service ware, and intelligent culinary devices. Nonetheless, the incorporation of high-quality polymer and composite materials into the local …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 431–446 Read article
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Exploring the Role of Advanced Composite Materials in Current Electric Vehicles
Abstract: This paper examines the pivotal role of advanced composite materials in the realm of current electric vehicles (EVs). With their exceptional qualities and lightweight nature, composites have become the preferred material across diverse industries. Conventional internal combustion cars, notorious for their heavy and inefficient design, have exacerbated pollution levels, particularly in urban areas. In response, lightweight composite materials are gradually replacing heavier metals in vehicle production, offering enhanced durability, fatigue …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 47–55 Read article
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Design and Implementation of Lightweight Polymer-Based Drone System for Targeted Agricultural Spraying
Abstract: Agriculture has entered a new era of innovation, with drone technology emerging as a key tool in pesticide and fertilizer application. Unlike conventional methods that expose farmers to hazardous chemicals resulting in health issues such as skin disorders, neurological impairments, and in extreme cases, fatal illnesses drone-based spraying offers a safer and more efficient alternative. In India, the adoption of this technology is accelerating due to its ability to reduce …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 476–486 Read article
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Performance Analysis of GLARE Composites in Aerospace Engineering
Abstract: The fuel consumption of an aircraft is largely governed by its payload, which emphasizes the continuous demand for advanced lightweight structural materials to enhance the lift-to-weight ratio and improve overall fuel efficiency. Fiber Metal Laminates (FMLs) have emerged as a novel class of hybrid materials that combine alternating layers of thin metals with fiber-reinforced polymer composites, thereby offering mechanical properties superior to those of the individual constituents. Among the different …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 771–779 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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AI-Driven Carbon Capture and Utilization: Advancing Sustainable Solutions for Climate Change Mitigation
Abstract: Climate change stands out as one of the biggest challenges for our planet today, as it poses a threat unprecedented to global ecosystems and human societies. This phenomenon is primarily driven by the increase in atmospheric greenhouse gases, particularly carbon dioxide (CO2), which trap heat in the atmosphere and cause rising global temperatures. These sources are largely industrial processes, transportation, and energy production, all of which rely very much on …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 40–48 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Urban Eye: Manhole Surveillance with IoT
Abstract: Every nation hopes to implement the idea of the "smart city" on its own. Many different issues must be resolved in order to grow the seed into a large tree. The drainage system is one of them, and it is essential. With the right drainage system, even a tiny region can make a significant contribution to society. A sewer system can be accessed through manholes. Manholes are the best approach …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 13–22 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Swarm Intelligence: Nature-Inspired Problem Solving
Abstract: Swarm Intelligence (SI) is a computational paradigm inspired by the collective behavior of natural systems, such as flocks of birds, schools of fish, and colonies of ants. It involves decentralized, self- organized systems where simple agents follow simple rules, yet their interactions lead to complex global behaviors. SI has gained significant attention in recent years due to its potential applications in solving optimization problems, routing, scheduling, and artificial intelligence tasks. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 Read article
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Clinical study of ERAS programs for chronic anal diseases
Abstract: Background: ERAS protocols were implemented for the management of chronic anal diseases in our clinical setting.Patients and Methods: The clinical outcomes of these ERAS programs were systematically analyzed. Results: Our study revealed significant improvements with the implemented ERAS protocols. Specifically, the average time for healing with these protocols was 7.9±0.76 days, notably shorter compared to the previous standard protocols which averaged 14.3±0.4 days. Moreover, there was a marked reduction in …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 39–43 Read article