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491 articles for “generative design”
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Exploring Composite Materials for Energy Harvesting in Electric Vehicles: A Comprehensive Review
Abstract: Energy harvesting, an increasingly dynamic field, holds promise for powering various devices by extracting energy from surrounding sources. Composite materials, blending mechanical and electrical properties, emerge as ideal candidates for energy harvesting applications. Despite their burgeoning utilization in electric vehicle (EV) energy capture, the full realization of their potential remains subject to ongoing evaluation. This editorial comprehensively examines composite materials' mechanical properties, electrical conduction, thermal stability, and affordability concerning EV …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 1–15 Read article
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Sustainable Manufacturing: The Role of Additive Technologies in Waste Reduction
Abstract: Additive manufacturing (AM) is transforming modern manufacturing by significantly reducing material waste while enabling highly efficient production processes. Unlike conventional subtractive manufacturing methods—such as cutting, drilling, and milling—which remove excess material and generate large volumes of scrap, AM constructs objects layer by layer, depositing material only where required. This precise material placement minimizes waste generation and supports resource-efficient production, making AM a critical technology for sustainable industrial development. Beyond waste …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 62–70 Read article
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Implementing Blockchain to Enhance Security in the Pharmaceutical Industry and Combat Drug Counterfeiting
Abstract: Drug counterfeiting has emerged as a critical threat to public health, as it has enabled inferior and counterfeit drugs to flood many markets around the world thereby eroding trust in healthcare systems and patient safety. This paper seeks to address the glaring need for adequate security safeguards to curb the circulation of counterfeit drugs by proposing a blockchain model designed specifically for the pharmaceutical industries. In general, the idea of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 33–46 Read article
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Next-Generation mRNA Therapeutics: Self-Amplifying, Thermostable and Personalized mRNA Vaccines in the Era of Precision Medicine
Abstract: Messenger RNA (mRNA) technology has brought a major change in modern medicine, especially after its successful use in COVID-19 vaccines. However, early mRNA vaccines faced several problems such as low stability, strict cold storage requirements, and lack of personalized treatment. To overcome these challenges, next-generation mRNA technologies have been developed, including self-amplifying mRNA (saRNA), thermostable mRNA vaccines, and personalized mRNA vaccines. This article discusses the development of mRNA therapeutics, the …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 38–54 Read article
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Comparative Study to Assess the Attitude of Higher Secondary School Students Regarding Career Counselling in Selected Rural and Urban Schools of Kashmir
Abstract: Background: Career counselling is a process that involves working with a professional to explore and understand various aspects of one's personality, skills, interests, values, and goals to make informed decisions about your career. Aim: The main aim of the study was to assess the attitude of higher secondary school students regarding career counselling in selected rural and urban schools of Kashmir. Methods: This study employed a descriptive research design using …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 11–18 Read article
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Integration of Modular Multilevel Converter Topology in the Design and Control of Hybrid Electric Vehicles
Abstract: A back-to-back modular multilevel converter (BMMC) based plug-in hybrid electric vehicle power conversion system is proposed to solve the problems of traditional MMC-EV. The local AC harmonics generated by the operation of MMC-EV accelerate the battery degradation and reduce the battery life. Currently, electric vehicles are in great demand due to the rising oil prices and environmental pollution concerns. Since the backbone of electric vehicles is the energy storage system, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1195–1205 Read article
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A Review Natural Ventilation by Using Solar Chimney
Abstract: A solar chimney is an effective and sustainable ventilation technology designed to enhance airflow within residential and commercial buildings by utilizing natural convection. Operating on principles like a traditional fireplace, a solar chimney harnesses solar energy to generate an upward air movement, creating a pressure difference that drives passive ventilation. The system comprises a vertical shaft, usually constructed with heat-absorbing materials, which captures solar radiation and heats the enclosed air. …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 22–28 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Bridging Reality and Virtuality Through Gesture-controlled 3D Holography
Abstract: The continuous advancement of technology has led to the development of innovative techniques and devices aimed at enriching users’ experiences. The technology creates an immersive experience that blurs the lines between virtual and real worlds by allowing users to manipulate three-dimensional holograms with natural hand gestures. Among these advancements, holography emerges as a promising avenue for creating immersive visual displays. However, traditional holographic systems often struggle to provide truly engaging …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Futuristics of Renewable and Non-renewable Resources in Electricity Demand for Carbon-free Transportation with Electric Vehicles
Abstract: Greenhouse gases significantly impact the global environment, with carbon being the most substantial contributor. Transport accounts for nearly 22% of total global carbon emissions, prompting the urgent need for sustainable alternatives. Electric Vehicles (EVs) present a promising solution for mitigating transportation-related emissions. This study explores the transition from fossil-fuel-based transportation to EVs, examining ownership costs, global power demand, renewable energy integration, and trends in EV manufacturing and sales. A comparative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1408–1425 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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Adventure Masterclass Travel App: Enhancing Experiences and Connectivity
Abstract: In an era where travel enthusiasts seek unique and exhilarating experiences, adventure tourism has emerged as a burgeoning sector in the global travel industry. This project aims to develop a mobile application tailored specifically for adventure travelers, catering to their diverse needs and preferences while ensuring seamless planning and execution of their expeditions. The proposed adventure travel application will integrate a plethora of features designed to enhance the overall travel …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 1–10 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Liquid-Cooled Battery Thermal Management System: A Numerical Investigation of Effect of Coolant Path and Flow Rate Optimization
Abstract: Battery thermal management system (BTMS) is crucial for ensuring the safety and performance of battery packs in electric vehicles. Liquid cooling is one of the most effective methods for BTMS, but the choice of coolant, fluid path and its flow rate can affect the heat transfer efficiency and the pressure drop. In this paper, a numerical simulation of a liquid-cooled BTMS using three designs with water as a coolant has …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 11–18 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Eco-Friendly and Sustainable Furniture in Interiors
Abstract: In the realm of interior design, the imperative for sustainability has become increasingly pronounced. "Sustainable Materials and Design: Shaping the Future of Furniture for a Greener Planet" explores the pivotal role of interior designers in advancing sustainable practices and innovative design solutions within the furniture industry. This paper delves into the environmental challenges inherent in traditional furniture manufacturing methods and materials, underscoring the need for transformative change. Through an examination …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 1–9 Read article
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Surveillance Car using ESP32 Cam Module by using GAN Model
Abstract: This paper shows the Surveillance Car system which leverages the ESP32 Cam module and incorporates advanced image processing through a Generative Adversarial Network (GAN) model to redefine the landscape of mobile surveillance systems. The ESP32 Cam serves as the core hardware platform, offering compact design and wireless capabilities for real-time image capture and remote monitoring. The system’s innovation lies in the integration of a GAN model for image processing, enhancing …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article