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564 articles for “drying methods”
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Recent Trends in Fluid Mechanics with Emphasis on Aeroacoustics and Flow-Induced Noise Control
Abstract: Fluid mechanics continues to evolve rapidly due to increasing demands in aerospace, automotive, energy, and environmental engineering applications. Recent trends in this field highlight significant advancements in both theoretical understanding and practical implementations, particularly in complex flow phenomena. Among these, aeroacoustics and flow-induced noise control have emerged as critical research areas due to their direct impact on system performance, efficiency, and environmental sustainability. Aeroacoustics deals with the generation, propagation, and …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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The Contribution of Mathematics to Make Developed India
Abstract: This research paper explores the significant contributions of mathematics to the development of India, tracing its influence from ancient innovations to modern applications across diverse sectors. India has a long-standing mathematical tradition, with foundational achievements such as the invention of zero, the decimal system, and advancements in algebra, trigonometry, and geometry, which profoundly shaped global knowledge systems. These early contributions established India as a pioneering hub of mathematical thought and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 08–15 Read article
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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article
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AI-Driven Exam Evaluation Systems: Challenges, Innovations, and Future Directions
Abstract: A proposed AI system is used to grade exams automatically. It addresses inefficiencies in human assessment. A GPT model trained on graded replies is used for evaluation, and TrOCR is used for precise handwritten text recognition. Efficiency and less bias are provided by this method, although there are still issues. More work is needed to assess open-ended questions and make sure they are understandable. To automate many aspects of exam …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 7–13 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Zinc Oxide Nanoparticles from Murayya koenigii: Antibacterial Potential Review
Abstract: Nanoparticles (NPs) display unique characteristics in contrast to conventional physico-chemical synthesis methods, and they are utilized in various life science fields including surface coating, catalysis, food packaging, corrosion prevention, environmental cleanup, electronics, biomedical applications, and antimicrobial purposes. Metal NPs synthesized through green methods, particularly from plant origins, have garnered significant interest because of their inherent traits such as environmental friendliness, quick production, and cost efficiency. Over the past few years, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 54–67 Read article
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High Efficiency Linear Motion Using Sequential Coil Electromagnetic Propulsion Train
Abstract: The Electromagnetic Propulsion Train project efforts on developing a model that proves linear motion using exactly controlled electromagnetic forces. Dissimilar conventional railway systems that depend on mechanical drives, traction motors, and wheel–rail friction, this model uses a coordinated arrangement of electromagnets positioned along the track to generate attractive and repulsive forces, which together produce the essential propulsion. This method reduces dependence on mechanical movement and highlights the possible of magnetic …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 32–39 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Photocatalysis Unveiled: Fundamentals, Mechanisms, and Material Innovations
Abstract: The Industrial Revolution significantly enhanced living standards but also led to severe environmental degradation, making pollution a critical concern for both developed and developing nations. Photocatalysis, a light-driven chemical process, accelerates thermodynamically demanding reactions, such as photosynthesis, offering a promising alternative for deep solar energy storage. This method also minimizes chemical exposure and reduces environmental pollutants generated by industrial activities. A key advantage of photocatalysis is its ability to replace …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 08–18 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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India’s Pioneering Advancements in Vaccinology: Challenges and Milestones – Part 2
Abstract: India has become a global leader in vaccinology, playing a vital role in developing, producing, and distributing vaccines that protect millions of lives. By embracing advances in molecular immunology, recombinant antigen technology, and virus-like particle (VLP) platforms, the country has created affordable vaccines against major diseases, including poliovirus, rotavirus, and SARS-CoV-2. National initiatives, like Mission Indradhanush and Vaccine Maitri, have helped expand immunization coverage, improve public health, and share vaccines …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Gas Sensors Fabricated using Carbon Powder Derived from Dried Banana Peels Waste to detect Methanol, Ethanol, Acetone Vapors and Carbon Dioxide Gas
Abstract: Low cost and environmentally friendly activated carbon powder was synthesized using waste banana peels. Phosphoric acid was utilized as activation agent. Doctor blade method was employed to fabricate films of activated carbon on conductive or nonconductive glass substrates. Films were subsequently annealed at 70 0C for 30 minutes in air. According to XRD patterns, single phase of activated carbon was crystallized in thin film form. Carbon prepared from banana peels …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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Problems and Solutions for Air Conditioning in Tropical and Dry Climates
Abstract: Air conditioning systems are very important for keeping the indoors comfortable in both tropical and dry climates. However, the problems and performance standards are very different in these two areas. Tropical areas have high humidity and temperatures that range from moderate to high. Because of this, systems that can control both temperature and humidity levels are needed. On the other hand, dry climates have high temperatures and very little humidity, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 37–50 Read article
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Numerical Solution of Ordinary Differential Equation and Solution of Partial Differential Equation
Abstract: This research paper explores the fundamental role of various mathematical concepts in engineering and scientific fields like aerospace engineering, materials science, software development, and the energy sector. We delve into the applications of solving algebraic and transcendental equations, finite difference interpolation, numerical methods, solutions to ordinary differential equations (ODEs), and numerical solutions to partial differential equations (PDEs). By examining their applications in these diverse fields, we illustrate the critical importance …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 12–20 Read article
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Assessment of Chlorides In The Water Samples And Its Absorption By Thermosetting Polymer Phenol Formaldehyde Resin
Abstract: Assessing chloride levels in water samples is critical for monitoring water quality and ensuring environmental and public health protection. This study presents a comprehensive methodology for estimating chloride concentrations in water samples through various analytical techniques, including titration. Results obtained from each method were compared and discussed to evaluate their accuracy, and applicability in different environmental settings. The data shows that the samalkot drinking water sample has a relatively high …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 91–98 Read article
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Laser Beam Machining Techniques and Applications: A Review
Abstract: Laser beam machining (LBM) is the most common thermal energy-based non-contact, non-conventional machining process. The non-conventional manufacturing processes are used to remove extra material using a variety of mechanical, thermal, electrical, chemical, or combinations of these energies without the use of sharp cutting tools as is required for conventional manufacturing. With innovative approaches to manufacturing processes, it has transformed a number of industries. It is frequently used to machine a …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 28–35 Read article
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Smart Waste Management System Using IoT and KNN
Abstract: Smart Cities are being developed with the goal of providing a comfortable living environment for humans. One of the services these cities will offer is eco-friendly waste collection and processing. This study proposes an Internet of Things (IoT)-based system architecture designed to enable dynamic waste collection and delivery to processing plants or designated waste disposal sites. Traditionally, waste collection was managed in a relatively static manner using conventional operations research …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 42–46 Read article
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Performance Analysis And Battery Management System Optimization In Electric Vehicles
Abstract: The rapid electrification of the automotive industry has led to an increased need for battery management systems that are not only efficient and safe but also intelligent. BMS is the device that guarantees the best use of the battery, prolongs its life, and allows its safe operation even under different environmental and load conditions. Through the synthesis of literature and industry practices, this paper acts as a tribute to the …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 Read article
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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article