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641 articles for “Optimization technique”
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Electrooxidation of Methylene Blue over nanoparticle coated DSA synthesized by sol-gel method
Abstract: The current study uses the sol-gel approach to synthesize a new Dimensionally Stable Anode (DSA) covered with nanoparticles. The objective is to enhance the electrocatalytic activity and overall performance of the anodes in treating synthetic industrial wastewater containing reactive dyes. CuO and TiO2 nanoparticles are coated using a thermal decomposition technique on a titanium electrode. The DSA surface gains more surface area and better catalytic capabilities when nanoparticles are coated …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 34–43 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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An Overview on Intelligent Operating Systems (iOS)
Abstract: The rapid convergence of artificial intelligence techniques with core operating system services is ushering in a new class of platforms—Intelligent Operating Systems (Intelligent OS)—that can anticipate, adapt, and optimize on behalf of both applications and users. This paper surveys the architectural shifts required to embed learning, reasoning, and self healing capabilities into the kernel, scheduler, memory manager, and I/O subsystems. We present a prototype framework, NeuroKernel, that augments traditional OS …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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Development and Analysis of Novel Silver Ion-Conducting Glass-Polymer Electrolytes
Abstract: The development of efficient and stable solid electrolytes is crucial for advancing energy storage technologies such as solid-state batteries and electrochemical devices. In this study, a novel series of silver ion-conducting glass–polymer electrolytes (GPEs) based on the composition (1–x) PEO: x[0.75AgI:0.25(Ag₂O:WO₃)] with x ranging up to 50 wt.% was synthesized and thoroughly analyzed. Unlike conventional techniques such as solution casting or sol–gel methods, these GPEs were fabricated using an innovative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 600–605 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Mechanical Characterization and Machinability Optimization of Stir-Cast Al6061–SiC Metal Matrix Composites
Abstract: This study presents the fabrication, mechanical characterization, metallurgical analysis, and machinability optimization of Aluminum 6061 reinforced with Silicon Carbide (SiC) metal matrix composites (MMCs) at three weight fractions: 5%, 7.5%, and 10%. Composites were manufactured using the stir casting technique, followed by comprehensive mechanical testing (tensile, hardness, and impact), optical microscopy, and scanning electron microscopy (SEM). Machinability was assessed through turning experiments on a lathe using an L9 Taguchi orthogonal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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A Critique of Advanced Instrumentation for Supervising and Regulating Renewable Energy Systems
Abstract: The integration of renewable strength property into the power grid necessitates modern-day tracking and manipulate systems to ensure highest best average overall performance, reliability, and performance. This paper offers a comprehensive analysis of advanced instrumentation applied for monitoring and controlling renewable strength systems. Beginning with an outline of renewable energy assets and their importance in addressing environmental worries and electricity sustainability, the compare delves into the challenges inherent in monitoring …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–12 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Neuro-Rehabilitation Reimagined: A Cross-Cultural Paradigm Integrating Immunotherapeutics and Multidimensional Analytics in Pediatric Cerebral Palsy
Abstract: Researchers performed multidimensional data analysis on the clinical records of 1,586 cerebral palsy pediatric patients to investigate the rehabilitative benefits of immunotherapy and the advantages of blending Traditional Chinese Medicine with Western treatments. A multi-center, prospective cohort study established a standardized system for data gathering that included clinical baseline databases along with treatment protocols and follow-up information. Baseline data analysis showed substantial patient diversity across clinical types and TCM syndromes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 67–84 Read article
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Contemporary Facade Design with Eco-Friendly Material
Abstract: Facade and interior design play crucial roles in contemporary architecture, influencing both aesthetic appeal and environmental performance. This research examines the integration of eco-friendly materials in modern architectural design, with a focus on sustainability, energy efficiency, and material innovation. A comparative study is conducted on the rendered exterior and interior of a residential bungalow, analyzing the impact of sustainable materials such as smart glass, recycled composites, and passive cooling techniques …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 21–34 Read article
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Effect of Surface Modification on Properties of Kevlar/Epoxy Polymer Composites
Abstract: In this study, a high-performance Kevlar/epoxy polymer composite was prepared using a hand lay-up technique. The Kevlar fiber was treated with calcium chloride/ethanol solution (CaCl2/EtOH) to enhance the interfacial interaction between the fiber and the epoxy matrix. The optimization of fiber surface treatment and fiber content for the best tensile strength (TS) of Kevlar/epoxy polymer composite was achieved using Box-Behnken design (BBD) through response surface methodology (RSM). Three parameters: CaCl2 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 35–46 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Optimizing System Management: Innovative Approaches to Shell Scripting for Automation in Large-Scale Systems
Abstract: In today’s dynamically changing technology environment, effective systems management is of utmost importance for enterprises that run their applications or services on large-scale infrastructure. In this article, I detail some of these practices as applied to shell scripting, a fundamental building block for process automation in such environments. Using these advanced scripting methods, system administrators can perform routine tasks much more efficiently than they would manually and greatly reduce the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 32–40 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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Enhancing User Engagement and Content Relevance: A Novel Approach to Social Media Post Recommendation System
Abstract: The social media post recommendation system is an innovative solution aimed at optimizing content delivery for users in today's digital age. Its primary motive is to tailor online experiences, ensuring users receive posts most relevant to their preferences. Various machine learning algorithms are employed to suggest related posts. This system leverages advanced algorithms and analytics, producing key results that highlight user engagement metrics and content relevance. Preliminary findings of this …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Assessment of Sustainable Composite for UAV structural Application
Abstract: Now-a-days aligned with global mission the growth of Unmanned aerial vehicle (UAV) application is enormous in the field of agriculture, defence, surveying etc., This research work investigates the improvement in strength of polymer matrix composite material of adding epoxy polymer resin with novel bio fibers such as Tamarindus and Morinda. The composite material was fabricated by using hand-layup method later its mechanical properties are analysed by numerical method as well …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 359–377 Read article
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A Review on Sustainable Utilization of Dimensional Stone Waste as Construction Material
Abstract: The non-biodegradable nature of stone waste enhances the worldwide problem of disposal. A lack of land for waste landfills, increased transportation costs, and other related problems have compelled industries to look for alternative solutions. Depletion of natural resources has also been brought about by the construction industry's excessive use of resources like cement, river sand, and natural aggregates. As a result, the demand for sustainable and commercially feasible alternatives is …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 76–85 Read article
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An Overview on Harnessing Microwave Frequencies for Next-Generation Satellite Communication and Earth Observation
Abstract: In the vacuum of space, where traditional cables cannot reach, humanity has woven an invisible, high-speed infrastructure made of oscillating electromagnetic waves. At the heart of this architecture lies the microwave spectrum—the unsung hero that enables everything from global GPS navigation to real-time climate monitoring. The evolution of global connectivity and environmental monitoring is intrinsically linked to the mastery of the microwave spectrum. As satellite constellations transition from traditional Geostationary …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article