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684 articles for “Environmental applications”
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 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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IoT Based Wireless Data Monitoring System with TFT LCD
Abstract: This study introduces the design, development, and implementation of an Internet of Things (IoT)-based wireless data monitoring system that utilizes a Thin-Film Transistor Liquid Crystal Display (TFT LCD) for real-time visualization. The system is engineered to collect, transmit, and display sensor data wirelessly, making it suitable for a range of practical applications such as industrial automation, healthcare monitoring, and environmental observation. The key goal of this work is to enhance …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 10–18 Read article
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Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
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Mechanical Characterization of Kevlar 49 and Pina Fiber Hybrid Composites
Abstract: The pursuit of sustainable yet high-performance materials has accelerated research into hybrid composites that combine synthetic and natural fibers. This study investigates the fabrication and characterization of a Kevlar 49/Pina fiber hybrid composite using epoxy resin as the matrix. Kevlar 49, known for its exceptional tensile strength and energy absorption, was employed as the face sheet material, while Pina fiber, a biodegradable reinforcement extracted from pineapple leaves, was incorporated as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 301–316 Read article
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Synergistic Effect of Green Nanofillers on Basalt–Kenaf Reinforced Sustainable Polymer Composites
Abstract: This study examines the synergistic impact of green nanofillers on the mechanical and structural properties of basalt–kenaf fiber reinforced polyester composites, with the objective of developing sustainable, high-performance polymer materials. The composites were produced with different fiber ratios: B1 (70% basalt, 30% kenaf), B2 (60% basalt, 40% kenaf), and B3 (50% basalt, 50% kenaf), and were reinforced with 1 wt.% green-synthesized nano-TiO2, obtained using an eco-friendly sol–gel technique with plant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1248–1262 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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Incorporating Industrial Safety Management into Civil Engineering Works for Health and Environment
Abstract: Industrial safety management is an important tool for protecting workers, assets, and environment because it involves risk assessment, hazard control, emergency preparedness and other important practices that can enhance civil engineering construction. Civil engineering projects such as roads, bridges, dams, and water supply systems present complex occupational and environmental risks, from physical accidents on-site to ecological degradation. This paper critically examines the integration of industrial safety and management strategies into …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 25–41 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Development and Characterization of Bottom Ash–Fly Ash–GGBS-Based Geopolymer Composites for Sustainable Applications
Abstract: The growing demand for sustainable construction materials has spotlighted geopolymer concrete (GPC) as an environmentally viable substitute for conventional cement-based systems. This study presents an innovative dual-waste valorization approach, integrating pulverized bottom ash (BA) and ground granulated blast furnace slag (GGBS) as binders while replacing sodium silicate (Na₂SiO₃) in the alkaline activator with treated textile effluent. Unlike prior works that focus solely on solid waste incorporation, this research pioneers the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 32–42 Read article
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Egg Quality in Laying Hens: Optimizing Genetic, Nutritional, Environmental and Management Factors for Sustainable Layer Farming
Abstract: This review paper provides a comprehensive analysis of the critical factors affecting egg quality in laying hens, focusing on the integration of genetic, environmental, nutritional, and management practices. Egg quality, including shell strength, albumen consistency, and yolk pigmentation, is a key determinant of both production efficiency and marketability. Genetic factors, such as selection for desirable traits, like shell integrity and yolk color, have a significant impact on the overall quality …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 1–15 Read article
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Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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Eco-Friendly Innovations: A Review of 3D Printing with Biodegradable Filaments.
Abstract: This comprehensive review paper delves into the evolving landscape of sustainable additive manufacturing, focusing on the utilization of biodegradable filaments in 3D printing technology. As industries increasingly prioritize sustainability, the adoption of eco-friendly practices like biodegradable materials becomes imperative. The study explores the composition and properties of biodegradable filaments, highlighting their transformation from traditional plastic fibres and the environmental benefits they offer. With a particular emphasis on fused deposition modeling …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 86–102 Read article
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Advances in Nanocellulose-Enhanced Polymers and Composites: Structure, Performance, and Applications
Abstract: The most common biopolymer is cellulose, which can be converted into nanocellulose (NC) the sustainable nanomaterial possessing the outstanding characteristic of biodegradability, renewability, low density, high aspect ratio, and excellent mechanical performance. Such distinctive features make NC a promising filler in polymer and composite systems. Recent developments in the preparation of nanocellulose using various natural and artificial sources have facilitated scalable production processes that have less energy requirements and are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1610–1623 Read article
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Experimental Investigation of Hardness of FSW Al 5083 Alloy for Naval and Marine Application
Abstract: Friction stir welding (FSW) is a relatively novel method of solid-state joining. This connecting method is adaptable, environmentally benign, and low-energy. The present study focuses on hardness testing on welded butt joints, introducing the Friction Stir Welding procedure on aluminium alloys Al 5083, which are known for their remarkable performance in severe conditions. It is widely used in naval and marine applications due to its excellent resistance to seawater damage. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 227–236 Read article
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Eco-Efficient Skies: Life Cycle Assessment and Carbon Footprint Minimization of Fiber-Reinforced Polymer Composites in Aerospace Application
Abstract: The increasing integration of fiber-reinforced polymer (FRP) composites in aerospace structures necessitates a rigorous evaluation of their environmental sustainability throughout their entire life cycle. This study presents a comprehensive life cycle assessment (LCA) and carbon footprint analysis of carbon fiber-reinforced polymer (CFRP) and glass fiber-reinforced polymer (GFRP) composites applied to structural and semi-structural components in commercial aerospace applications. Following ISO 14040/14044 standards and employing the ReCiPe 2016 Midpoint (H) impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–160 Read article
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Evaluation of Lemon Grass (Cymbopogon Citratus) Performance for Petroleum Hydrocarbon Degradation in Soil Environment
Abstract: The evaluation of lemon grass (cymbopogon citratus) performance for petroleum hydrocarbon degradation in soil environment was monitored with respect to contact time or period of exposure. Models were developed in this research to demonstrate the potential of the first-order kinetic, Michaelis Menten and the LineWeaver Burk Plot, and the evaluation of the effect of the biostimulant dosage was monitored in accordance the total petroleum hydrocarbon degradation. The performance of lemon …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 33–49 Read article
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Microbial Symphony: Understanding Biochemical Pathways for Precision Medicine and Beyond
Abstract: The human microbiome, an intricate ecosystem of microorganisms inhabiting the body, is a key regulator of host biochemistry and physiology. This review delves into the complex biochemical pathways influenced by the microbiome, spotlighting critical metabolites like short-chain fatty acids, bile acids, and tryptophan derivatives, which impact immune regulation, energy metabolism, and neurobehavioral functions. By examining interactions between the microbiome and the host, including the influence of genetic factors and metabolite-driven …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 28–43 Read article
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Sustainable Water Management in Engineering: Identifying Causes and Implementing Solutions
Abstract: Water is a vital resource in engineering applications, underpinning processes in manufacturing, construction, power generation, and environmental systems. Unsustainable water consumption and waste, however, present serious problems, such as resource depletion, environmental damage, and higher operating expenses. This paper explores the causes of water waste in the engineering sector, such as inefficient processes, aging infrastructure, and inadequate wastewater management, alongside the impacts on economic performance and ecological balance. To address …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 9–26 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article