Search
151 articles for “hybrid system”
-
Optimization of a New Fluorescent-Based OLED Structure for High-Efficiency Performance in Emerging Web3 and Decentralized Device Ecosystems
Abstract: Organic Light-Emitting Diodes (OLEDs), traditionally used in flat-panel displays and solid-state lighting, are now emerging as critical components in next-generation Web3-enabled technologies. Their lightweight structure, flexibility, high contrast ratio, and low power consumption make them highly suitable for decentralized hardware platforms, blockchain-integrated Internet of Things (IoT) devices, distributed augmented reality/virtual reality (AR/VR) interfaces, wearable electronics, and ultra-low-power edge computing systems. These advanced applications require compact, durable, and energy-efficient emissive devices …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 2, 2026 · pp. 17–25 Read article
-
A Comprehensive Review of the Development of Magnesium Composites and the Effect of Nanomaterials on Tribo-Mechanical Performance in Automotive Applications
Abstract: Abstract Magnesium and its alloys have emerged as promising lightweight materials for the automotive industry owing to their extremely low density, high specific strength, and potential to significantly improve fuel efficiency and reduce emissions. Despite these advantages, the widespread structural and functional application of magnesium alloys remains limited due to inherent challenges such as insufficient mechanical strength, poor wear resistance, low hardness, and high susceptibility to tribo-corrosion under severe service …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 1–14 Read article
-
Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
-
AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
-
A Simplified Review on Cloud Computing Security Vulnerabilities
Abstract: Cloud computing is the joint source of the computer system resources that are verily configured as well as the high-level services that can be delivered via the internet with minimal effort of the respective administrator. However, these advantages along with the security concerns are also quite prevalent. It is very important for the customers to know the risks and vulnerabilities in cloud services that might exist while considering counter measures …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 26–34 Read article
-
Hydraulic Flushing Flux Enhancement Techniques in Membrane Separation Processes: A mini Review
Abstract: Looking into current scenario of the wastewater generated from the allied industries which leads researcher and industry persons to reclaim the water to certain extent. Conventional methods removes the pollutants and toxics to maximum level but quality of water is the must requirement for the industries to work efficiently. Membrane separation processes play vital role in rectifying the conventional method by replacing them to some extent or by hybrid mixture. …
Published in International Journal of Composite Materials and Matrices · Vol. 4, Issue 2, 2018 · pp. 1–3 Read article
-
A Review on Bidirectional Converter for Storage of Energy Systems Using Multiport Systems
Abstract: Multiport converters are broadly utilized as a part of vitality era frameworks, microgrids and electric vehicles to give stable energy to key burdens with high power thickness. In this anticipate, a multiport disconnected bidirectional converter is expected for mixture vitality stockpiling framework in microgrids. Microgrids are associated with the adjacent renewable vitality era frameworks as sun based, wind, and so on. These frameworks don't give unadulterated DC voltage to transformation …
Published in International Journal of Energetic Materials · Vol. 2, Issue 1, 2016 · pp. 1–14 Read article
-
Environmentally Friendly Green Composites - Latest Developments
Abstract: Composites are one of the most widely used materials because they can adapt to a variety of situations. Other composites include metal matrix composites, nanocomposites, fiber composites, and hybrid composites, and are used in many industries. We are now focusing on creating environmentally friendly composites. Green composites are a special type of biocomposites with the addition of a bio-based polymer matrix. Natural fibers represent an area of polymer research. Green …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 1, 2024 · pp. 32–40 Read article
-
A Modified Memetic Particle Swarm Optimization Algorithm for Sustainable Multi-objective Scheduling of Automatic Guided Vehicles in a Flexible Manufacturing System
Abstract: In the present work, a modified memetic particle swarm optimization (MMPSO) algorithm was applied for a sustainable multi-objective scheduling of automatic guided vehicles AGVs in a flexible manufacturing system (FMS). To achieve sustainable scheduling results for AGVs in FMS, it is imperative to integrate the work center schedule with the AGV schedule, and thereafter, minimize their distance travel and back-tracking in the FMS facility. The work center schedule in the …
Published in International Journal of Computer Aided Manufacturing · Vol. 4, Issue 1, 2018 · pp. 33–47 Read article
-
From Stress to Serenity: Adaptive Living Spaces for the Modern Tech Workforce
Abstract: Modern I.T. professionals often work long, irregular hours, seated for extended periods while managing deadlines, virtual meetings, and continuous digital interruptions. As homes increasingly function as hybrid workplaces, most residential interiors remain ill-equipped for this dual role, characterized by compact layouts, standardized furniture, inadequate lighting, and a lack of spaces for psychological detachment. This research advocates for adaptive and human-centered interior environments that promote physical comfort, mental well-being, and flexible …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
-
Methodology And Operation Of Dc Micro Grid For Wind And Solar Power Integration
Abstract: Distributed generators (DGs) focused on renewable energy play a dominant role in the production of electricity, with the increase in global warming. With the use of fuel cells and microturbines, distributed generation based on wind, solar energy, biomass, mini-hydro will give significant momentum in the near future. Advantages such as environmental friendliness, expandability and versatility have made distributed generation an attractive option to manage modern electrical grids, powered by various …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 5, Issue 2, 2019 · pp. 25–36 Read article
-
Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
-
Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article
-
Multipurpose Navigating and Surveillance Robot
Abstract: A robot is a kind of automated machine that can quickly and precisely carry out particular activities with little or no assistance from humans. Autonomous mobile robots (AMRs), automated guided vehicles (AGVs), robotic arms, humanoid robots, and hybrids are the six most popular forms of robotics [1]. The goal of this project is to develop a mobile robot, or rover, with intended applications on multi-purpose to aid in exploration in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 1, 2024 · pp. 19–25 Read article
-
Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
-
A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
-
Durability and Resilence of Hyperloop Infrastructure
Abstract: ABSTRACT: The Hyperloop is a revolutionary concept for high-speed ground transportation that involves passenger pods traveling through low-pressure tubes at near-supersonic speeds. Originally proposed by SpaceX in 2013, the concept aims to offer a cost-effective and faster alternative to conventional rail systems and short-haul air travel. This study addresses a critical component of the Hyperloop's success—structural durability. Key concerns include material fatigue due to repetitive high-speed movement, pressure fluctuations within …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 16–25 Read article
-
Virosomes: Understanding the Modern Concepts and Latest Applications
Abstract: A virosome is a cutting-edge hybrid drug delivery method that combines the benefits of viral and non-viral vectors. A virosome has been shown to transport a variety of physiologically active substances, including nucleic acids, peptides, proteins, and tiny chemical compounds, according to research. Surface changes of virosomes may be used to enable targeted medication delivery utilising virosome-based devices. There are presently a variety of virosome-based preventive and therapeutic medicines on …
Published in International Journal of Animal Biotechnology and Applications · Vol. 7, Issue 1, 2021 · pp. 20–31 Read article
-
Multifunctional Shunt Hybrid Power Filter and Thyristor Controlled Reactor for Distributed Generation Integration and Power Quality Improvement
Abstract: This project presents a multifunctional PV fed SHPF-TCR compensator for achieving maximum benefits from these grid-interfacing inverters. The inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. An inverter can be used as power converter to insert the power created from RES to the grid, and shunt APF to reimburse load current harmonics. A SHPF-TCR compensator of a TCR and a SHPF has been …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 3, Issue 2, 2017 · pp. 13–25 Read article
-
Functional Rubber Particles and Their Applications- A Review
Abstract: Functional rubber powders (FRPs) are emerging as a potential class of materials derived primarily from end-of-life tires (ELTs) and other rubber scraps through mechanical, cryogenic, or de-vulcanization methods. These powders act as high-performance additives or reinforcing fillers in various engineering applications due to their low cost, improved surface properties, customizable particle sizes, and ability to undergo further chemical reactions. This review provides an overview of the production technologies, focusing on …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 8–16 Read article