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1087 articles for “research design”
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Effect of Sinusoidal and Inverse sinusoidal Load on the Vibration and Buckling Behaviour of Laminated Composite Symmetrical and Unsymmetrical Trapezoidal Panels
Abstract: Using finite element (FE) techniques, this work analyzes the influence of sinusoidal and invers sinusoidal stresses on the buckling behavior of trapezoidal laminated composite panels (also known as trapezoidal laminated composite panels). The discretization of the composite panel is accomplished by the use of an eight-noded iso-parametric plate element, which has five degrees of freedom for each node. Due to the incorporation of Higher Order Shear Deformation Theory (HOSDT) into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 Read article
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Effect Of Sinusoidal and Inverse Sinusoidal Load on The Vibration and Buckling Behaviour of Laminated Composite Symmetrical and Unsymmetrical Trapezoidal Panels
Abstract: Using finite element (FE) techniques, this work analyzes the influence of sinusoidal and inverse sinusoidal stresses on the buckling behavior of trapezoidal laminated composite panels (also known as trapezoidal laminated composite panels). The discretization of the composite panel is accomplished by the use of an eight-noded iso-parametric plate element, which has five degrees of freedom for each node. Due to the incorporation of Higher Order Shear Deformation Theory (HOSDT) into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 72–84 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Gesture Vocalizer Using Arduino
Abstract: Science and technology have been an indispensable part of our lives, driving innovation and transforming the way we communicate. Communication barriers between the hearing-impaired and the hearing population pose significant challenges in daily interactions. Sign language, a primary mode of communication for the deaf and mute communities, is not universally understood by the general public. This research work presents a novel system for real-time sign language to speech conversion, aiming …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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Gastro Retentive Drug Target System: Its Needs, Advantages, Limitation and Approaches
Abstract: Background: Gastro retentive drug delivery systems (GRDDS) address limitations of oral therapy for drugs with poor solubility, instability at intestinal pH, or narrow absorption windows by prolonging gastric residence and increasing contact with the gastric mucosa. Objectives: To review GRDDS approaches—floating systems, mucoadhesive systems, and super porous hydrogels—with emphasis on formulation strategies and polymer–excipient selection to enhance gastric retention, modulate buoyancy/swelling/adhesion, and ultimately improve oral bioavailability and therapeutic outcomes for …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Breakthroughs in Solar and Wind Energy Technologies
Abstract: The increasing urgency to combat climate change and transition toward sustainable energy systems has positioned solar and wind energy as cornerstone technologies in the global energy landscape. This paper, titled “Breakthroughs in Solar and Wind Energy Technologies,” explores recent innovations and trends that have significantly enhanced the efficiency, reliability, and affordability of these renewable energy sources. Key advancements discussed include breakthroughs in photovoltaic technologies, such as perovskite solar cells and …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Mechanical Performance Evaluation of Brachyuran Shell Particle-Infused S-Glass Fibre Epoxy Polymer Composites
Abstract: Epoxy composites bio-filled with brachyuran crab shell powder and reinforced with S-glass fibres at different loadings (2%, 4%, and 6%) are tested for their mechanical properties in this work. Using modest amounts of filler significantly improved hardness, ultimate tensile strength, and flexural strength in the empirical data. The largest increase in hardness was 64.42% at 4% filler, up from 26.22% at 2%; however, there was a dramatic decrease to 13.11% …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 500–507 Read article
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Development and Application of Advanced Materials for Oil Spill Cleanup and Contaminant Removal
Abstract: Oil spills and environmental contaminants representing critical challenges to ecosystems and human health, demanding innovative and effective solutions. Advanced materials have emerged as transformative tools in addressing these issues, offering superior efficiency and sustainability compared to conventional methods. They are environmental and ecological threats, necessitating effective cleanup and removal strategies. The development and application of advanced materials are developing promising solutions for addressing the challenges. This study focuses on the …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 17–25 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Bio-Inspired Membranes in Oral Drug Delivery: A Pathway to Enhanced Permeability and Targeted Therapy
Abstract: Bio-inspired membranes in oral drug delivery represent a significant advancement in pharmaceutical technology, harnessing principles of natural biological systems to improve drug permeability, bioavailability, and targeted release. This review discusses the design, materials, and fabrication techniques used in bio-inspired membranes, with a focus on materials like chitosan, silk fibroin, and synthetic polymers that mimic biological structures. By exploring the mechanisms of drug permeation, such as mucoadhesion and selective permeability, bio-inspired …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 39–52 Read article
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Green and Edge-Aware Computing: Rethinking Cloud Infrastructure for Sustainability
Abstract: Cloud computing has transformed the way organizations access and manage information technology resources, providing flexible, scalable, and cost-efficient services that support today’s data-driven world. Despite these advantages, the rapid expansion of large-scale cloud infrastructures has resulted in rising energy consumption, significant heat generation, and a growing environmental footprint. This research focuses on advancing green cloud computing by examining methods that reduce power usage while maintaining high performance. Key strategies include …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 17–24 Read article
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Risk & Opportunities in Development of new Drugs: A New Perspective
Abstract: The procedures of drug discovery and development are briefly described in this article. Our goal is to assist researchers whose work may be pertinent to the discovery and/or development of new drugs in framing their research reports in a way that appropriately situates their findings within the drug discovery and development process and supports the efficient translation of preclinical research to humans. One overarching theme of our article is the …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 19–28 Read article
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Design and Analysis of Quality Improvement for Radiator Manufacturing Industry
Abstract: This study investigates the design and analysis of quality control measures for the radiator manufacturing industry through the utilization of various nanofluids. Both experimental techniques and computational fluid dynamics (CFD) simulations using ANSYS software are employed to assess the performance of different nanofluids in enhancing the efficiency and reliability of radiators. The experimental aspect involves testing the heat transfer characteristics and thermal conductivity of nanofluids, while CFD simulations provide insights …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 2, 2024 · pp. 24–28 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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An Experimental Study on Multi-Criteria Parameters Optimization of Process for Al6351/SiC/Gr Metal Matrix Composites Using AHP-TOPSIS Approach
Abstract: This research focuses on optimizing the process parameters of Wire Electrical Discharge Machining (WEDM) for a hybrid Metal Matrix Composite (MMC) comprising Al6351 aluminum alloy reinforced with 4% SiC and 6% graphite (Gr), fabricated via squeeze casting. This technique enables the formation of dense, defect-free composites with uniform reinforcement distribution, enhancing both mechanical properties and structural integrity. Microstructural characterization using Scanning Electron Microscopy (SEM) confirmed the even dispersion and bonding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 303–319 Read article
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To Evaluate the Performance of the Selected Hybrid Systems and Validation of Mathematical Model with the Experimental Data
Abstract: The main aim of this paper to evaluate the performance of the PV-Wind hybrid systems and validation of mathematical model with the experimental model. In the research paper, the experimental model of PV-Wind Hybrid system has been installed at a height of 22 meters in the School of Energy and Environmental studies, DAVV, Indore, and M.P., India. The theoretical calculation of the wind generator output has also been compared with …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 20–28 Read article