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796 articles for “Model efficiency”
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Parametric Investigations of Melt Flow Index for Nylon6-Mica Composite Based Hybrid FDM Filament
Abstract: The development of new hybrid filaments with improved mechanical and thermal properties has been driven by the increasing need for high-performance materials in additive manufacturing. This study explores the parametric investigations of the Melt Flow Index (MFI) for Nylon6-Mica composite-based hybrid Fused Deposition Modeling (FDM) filament. The investigation uses the Taguchi technique to examine how different extrusion temperatures, loads and the percentage of Mica filler affect the MFI, a critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 165–173 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Factors Affecting Coffee Market Supply of Smallholder Farm Household: The Case of Gimbo District Kaffa Zone, Southwest Ethiopia.
Abstract: Abstract This study analyzes the factors influencing the market supply of coffee in selected districts of Gimbo District, Kaffa Zone, and Southwest Ethiopia. Coffee is Ethiopia’s most significant export crop, contributing substantially to the country’s GDP and exhibiting broad genetic diversity. Despite the high production potential of the district, the marketing system remains predominantly conventional, forcing producers to sell through traditional transaction routes that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Ligand Based Drug Virtual Screening in Computer Aided Drug Design: A Review
Abstract: Computer-Aided Drug Design (CADD) has revolutionized the drug discovery process by providing efficient and cost-effective methods for identifying potential drug candidates. Within CADD, ligandbased virtual screening techniques play a pivotal role in the early stages of drug discovery. This review provides a comprehensive overview of ligand-based drug virtual screening, focusing on its principles, applications, challenges, and future directions. Fundamentals of ligand-based virtual screening, including pharmacophore-based methods, similarity searching, and machine …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Zero Trust Implementation Challenges in Legacy and Wireless Network Systems
Abstract: This article titled "Zero Trust Implementation Challenges in Legacy Systems and Wireless Network Systems" delves into the evolving landscape of cybersecurity, emphasizing the inadequacy of traditional perimeter-based security models in the face of modern cyber threats. The Zero Trust Security framework is highlighted as an essential advancement in this scenario, emphasizing the core idea of "never trust, always verify." This paradigm shift underscores the importance of continuous verification, least privilege …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 39–50 Read article
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Application of Natural and Synthetic Polymer-Based Disintegrants in the Design of Fast Dissolving Cefuroxime Axetil Tablet Composites
Abstract: The current paper examines how natural and synthetic polymer-based disintegrants can be used to design fast-soluble types of tablet composites. A model drug was chosen and tablets were prepared by the direct compression method using different polymeric excipients, such as guar gum, locust bean gum, sodium starch glycolate (SSG) and cross povidone. Eight formulations were prepared and tested on the basis of critical material and performance characteristics including thickness, hardness, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1348–1360 Read article
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Optimized Utilization of Kota Stone Slurry Waste in Fly Ash–Based Geopolymer Mortar: A Taguchi-Driven Approach
Abstract: The large-scale generation of stone-processing wastes presents a critical sustainability challenge and an opportunity for value-added reuse in construction materials. This study develops a high-performance fly ash geopolymer mortar by partially replacing Class F fly ash with Kota stone slurry waste (KSSW) and optimizing the key mix parameters using a Taguchi design framework. Five governing factors—binder replacement level, NaOH molarity, sodium silicate–to–sodium hydroxide ratio (SS/SH), curing temperature, and alkaline solution-to-binder …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 426–445 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Accelerating Innovation: Design, Development, and Manufacturing of Artificial Intelligence- Enhanced Smart Electric Vehicles
Abstract: This research paper delves into the dynamic landscape of automotive engineering, focusing on the accelerated innovation facilitated by the integration of artificial intelligence (AI) in the design, development, and manufacturing processes of smart electric vehicles (SEVs). With sustainability and efficiency at the forefront of contemporary transportation initiatives, SEVs stand as a beacon of technological advancement, offering a paradigm shift towards eco-friendly mobility solutions. By harnessing the power of AI algorithms, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 9–25 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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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Enhancing Solar Water Pumping in Arid Regions with Hybrid Super Capacitor and Battery Storage
Abstract: Water scarcity and unreliable grid electricity are two of the most pressing challenges facing rural communities in arid and semiarid regions. Standalone solar photovoltaic (PV) pumping systems have emerged as a clean, lowmaintenance alternative to dieselpowered pumps, yet their performance is constrained by the intermittent nature of sunlight and the limited energybuffering capacity of conventional batteries. This study investigates the integration of a highpower, highenergydensity supercapacitor bank as a hybrid …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 17–29 Read article
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Nanotechnology-Driven Drug Delivery: A Comprehensive Review of Current Trends and Future Directions
Abstract: Nanotechnology has revolutionized drug delivery systems, offering profound advancements in precision, efficiency, and targeted therapeutic interventions. This review examines the revolutionary influence of nanotechnology on medical therapies, focusing on advancements, such as precise drug delivery, improved solubility, and responsive treatment systems. These advancements have significantly improved treatment efficacy and minimize side effects, particularly in oncology and chronic disease management. The development of nanoparticles designed for specific cell targeting and environmental …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 24–46 Read article
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Influence of Photoelectrons on Spacecraft Charging for Artificial Orbiting Spacecraft
Abstract: For the purpose of evaluating the temporal body potential and capacitance of an artificial orbiting spacecraft, this research analyzes the impact of photoelectrons on spacecraft charging. A metallic rectangular cuboid and two coplanar metallic rectangular plates compose the spacecraft model. The Runge-Kutta method is used to calculate the body potential, and the method of moments is used to calculate the capacitance. Depending on the spacecraft's inclination angle, solar energy from …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 36–46 Read article
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Interfacial Bonding and Performance of Polymer-Based CFRP Composites in Externally Applied Configurations
Abstract: Polymer-based carbon fiber reinforced polymer (CFRP) composites are widely used for externally bonded strengthening and retrofitting applications due to their high strength-to-weight ratio and adaptability to existing structures. In such systems, overall performance is governed not only by the fiber–matrix interaction within the laminate, but more critically by the polymer adhesive layer and its interaction with the substrate. Polymer chemistry, interfacial bonding mechanisms, processing conditions, and environmental exposure collectively influence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 952–966 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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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article