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1572 articles for “Efficiency Enhancement”
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An Experimental Study on The Effect of Geopolymeric Composite Reinforcement on Soil Subgrade for Flexible Pavements
Abstract: The use of geo-synthetics, such as geotextiles, has the potential to enhance the inherent engineering and geotechnical properties of subgrade soils that exhibit poor conditions. The use of geotextiles in pavement construction has many advantages, including enhanced subgrade strength and the ability to construct flexible pavements that are both efficient and cost-effective since it reduces the pavement thickness. In the realm of flexible pavement system development, the significance of subgrade …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 132–140 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Microbial Competition in the Rumen: Insights into Fermentation Kinetics, Host Health, and Environmental Sustainability
Abstract: Microbial competition within the rumen is a crucial determinant of fermentation efficiency, nutrient utilization, and overall host health in ruminant animals. The complex microbial community in the rumen comprises bacteria, protozoa, fungi, and archaea, all of which interact in intricate and often competitive ways to degrade feed and produce essential metabolites. This competition significantly influences fermentation kinetics, determining the rate and efficiency of carbohydrate, protein, and fat breakdown. Such microbial …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 27–42 Read article
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Performance Evaluation of Green Walnut Husk Waste Extract for Inhibiting Aluminium 8088 Corrosion in Acidic Solution
Abstract: The cumulative call for environmental and supportable corrosion inhibitors has obsessed curiosity in exploiting plant-based agronomic surplus resources. Presented research work discovers the corrosion inhibition probable of green walnut husk extract(GWH)—a normal and plentiful agro-waste—on Aluminium 8088 alloy in an acidic medium. Aluminium 8088, however identified for its corrosion resistance, is vulnerable to squalor in highly acidic settings, affectation trials in several industrial claims. GWH extract act as an ecologically …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 44–60 Read article
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Turning the Properties of Wastes Paper-Derived Cellulose Nanocrystals for Enhanced Erythromycin Adsorption
Abstract: This study explores the modification, characterization, and adsorption performance of waste paper-derived cellulose nanocrystals (CNCs) for the removal of erythromycin from aqueous solutions. CNCs were modified using organic acid, inorganic acid, and base treatments, and their structural changes were evaluated using FTIR, XRD, and BET analysis. FTIR confirmed the introduction of carboxyl and hydroxyl groups in acid-treated CNCs and deprotonation effects in base-treated CNCs. XRD analysis revealed that organic acid …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 1–24 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Internet of Battlefield Things (IoBT): An IoBT-inspired Battlefield of Tomorrow
Abstract: The battlefield of tomorrow will be radically different from the ones we know today. The internet of battlefield things (IoBT) is a game-changer in modern warfare. By providing enhanced situational awareness, improved decision-making, and new capabilities for soldiers, IoBT empowers military forces to operate more effectively and efficiently. However, it is crucial to address challenges related to cybersecurity, interoperability, and implementation to fully harness the potential of this revolutionary technology. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 18–25 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Thermo–Electrical Performance Enhancement of a Lightweight Polymer–Metal Hybrid Electrostatic Precipitator Using Epoxy-Based Composite Housing for Industrial Particulate Control
Abstract: Airborne particulate emissions, particularly PM₁₀ and PM₂.₅ produced by industrial activities and combustion processes, they continue to pose a significant threat to both the environment and public health. Electrostatic precipitators (ESPs) are widely recognized for their ability to achieve high collection efficiencies; however, conventional metallic constructions often lead to increased system weight, higher fabrication costs, and long-term corrosion-related challenges. In this study, a lightweight hybrid material approach is proposed by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 652–668 Read article
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Efficient Message Captivating Environment in IoT Home Networks
Abstract: The Internet of Things (IoT) concept involves connecting and monitoring physical objects via the internet, generating significant interest among researchers and users due to widespread internet availability. This concept encompasses a broad spectrum of devices, including internet-connected "smart" versions of traditional appliances, novel gadgets designed for an Internet-enabled environment, and Internet-enabled sensors transforming various sectors such as manufacturing, healthcare, transportation, and living spaces. Home automation, an IoT application, has significantly …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 8–16 Read article
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Future-Ready Communication Systems: Exploring High-Speed, Adaptive, and Secure Network Solutions
Abstract: The domain of electronics communication systems has experienced rapid transformation due to the growing demand for high-speed, reliable, and intelligent communication networks. This paper presents a comprehensive analysis of emerging trends such as Fifth Generation (5G) communication systems, Internet of Things (IoT), Artificial Intelligence (AI)-enabled networks, Software-Defined Networking (SDN), optical communication advancements, and cybersecurity mechanisms. The combination of cloud computing, edge computing, and network virtualization which improve system flexibility, allow …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
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Improved Unified Power Quality Conditioner Design and Numerical Simulation for Power Quality Improvement
Abstract: Harmonic currents can distort the waveform voltage, resulting in a weak signal. There is also an increase in the number of loads requiring enough sinus tension to function properly. As electronic devices become more power-sensitive, people are becoming increasingly interested in power conditioning solutions. Therefore, if the amount of electricity being generated falls below a certain threshold, some type of compensation must be provided. Unified Power Quality Controller (UPQC) is …
Published in Journal of Microwave Engineering and Technologies Read article
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Comparative Evaluation of Hibiscus Cannabinus and Solanum Trilobatum Extracts as Inhibitors for C- Steel Corrosion protection in Acidic Medium
Abstract: This study analyzed the efficacy of various inhibitors in safeguarding carbon steel against corrosion in hydrochloric acid. The compounds that were subjected to testing included Acalypha indica root extract (AIRE), Hibiscus cannabinus (HC), and Solanum trilobatum (ST) leaf extracts. The investigation focused on the inhibitory efficacy through the application of gravimetric and electrochemical impedance methods. GC-MS and FTIR were employed to investigate the features of the inhibitors and co-inhibitors. Tafel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 555–565 Read article
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Study on Cloud Computing’s Deployment Models
Abstract: Cloud computing represents a significant technological advancement in the information technology industry. It is one of the fastest-growing technologies, where computing resources are managed and allocated across the globe via the internet. Today, cloud computing is a key topic in many computer science curricula due to its extensive impact on various computing domains, particularly big data, which would be impossible without cloud computing. Cloud computing is an internet-based technology that …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 26–33 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Designing for Indoor Air Quality: Using Plants and Ecofriendly Materials
Abstract: This study’s main objective is examining passive design techniques that optimize energy efficiency, such as natural ventilation, daylighting, and thermal insulation. It explores their potential to reduce energy consumption and enhance occupant comfort while minimizing reliance on mechanical systems. Sustainability is a key focus throughout the study, highlighting the importance of adopting sustainable practices in the design and construction industry. The research explores strategies for reducing environmental impact, minimizing waste, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 13–20 Read article
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Horticulture As an Avenue of Sustainable Agriculture in India
Abstract: In the face of climate change, soil degradation, and population pressure, sustainable agriculture has become a necessity for India. Within this broader framework, horticulture which includes the cultivation of fruits, vegetables, spices, plantation crops, flowers, and medicinal plants has emerged as a key pillar of sustainable agricultural practices. With its potential to ensure food and nutritional security, enhance rural livelihoods, and contribute to ecological balance, horticulture holds a strategic position …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 20–28 Read article
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Exploring the Luminescent Behavior of Dysprosium-Doped Halo-sulphate Compounds
Abstract: In essence, this study aims toward understanding the photo-luminescent properties of Dy³⁺ halogenated sulfates, viz., synthesis, characterization, and luminescent behavior of the materials. Dysprosium ions are introduced into the halo-sulfate matrices to investigate their suitability for solid-state lighting applications. The aim of the study is to explain the mechanisms of the photo luminescence of Dy³⁺ and study the influence of the doping concentration on luminescence efficiency and the thermal stability …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 01–06 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article