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491 articles for “generative design”
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
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An Overview of Hybrid Renewable Energy Systems
Abstract: Long-term evaluation and analysis of several factors should be done to propose a full-phase power generation system based on renewable energy sources. An accurate assessment of the potentially available resources should be done like measuring solar irradiation, wind speed, etc. We are designing a hybrid system where hybridization methods entirely consist of renewable energy sources—specifically solar photovoltaic (PV), wind, and gravity systems. Wind and solar are among the popular renewable …
Published in Journal of Alternate Energy Sources & Technologies Read article
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A Novel Approach for Design and Optimization of Slot Antenna for WLAN Applications
Abstract: The simulation, and analysis of a micro-strip fed slot antenna array intended for operation in the 2.4 GHz ISM (Industrial, Scientific, and Medical) band, which is widely used for wireless technologies such as Wi-Fi and Bluetooth. A slot antenna is a type of antenna where a slot (cut or gap) is made on a metal surface, and it radiates electromagnetic waves. Utilizing ANSOFT HFSS software, the antenna's performance is optimized, …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Comprehensive Analysis of Advanced Methods, Materials and Technologies for Portable Water Purifier in Domestic and Industrial Applications
Abstract: Safe drinking water is still a major problem in developing countries, especially in areas with water scarcity, pollution or poor infrastructure. Portable water purifiers have come to the fore as solutions that are realistic to narrow this gap providing flexibility and accessibility in household and industrial environments as well. In this study, promising techniques, materials and technologies used in portable water treatment equipment design have been reviewed. We review important …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 8–19 Read article
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The Role of Symmetry in Topological Insulators and Superconductors
Abstract: Topological insulators and superconductors constitute a class of quantum materials characterized by insulating bulks and symmetry-protected conducting boundaries. Symmetry principles, notably time-reversal (TRS), particle-hole (PHS), and chiral symmetry, play a fundamental role in determining the topological phases and their classification within the Altland-Zirnbauer scheme. TRS protects gapless surface states in topological insulators, while PHS stabilizes Majorana modes in topological superconductors. Symmetry-protected topology extends this framework by considering partial symmetry breaking, …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 01–05 Read article
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Comprehensive Review of Composite Materials: Classification, Manufacturing Methods, Mechanical Behavior, Failure Modes, and Emerging Applications
Abstract: Composite materials have emerged as one of the most significant classes of engineered materials due to their ability to deliver high strength to weight ratios, enhanced durability, and tailored multifunctionality. Over the past two decades, rapid progress in polymer chemistry, advanced reinforcement architectures, additive manufacturing, and automated fabrication has expanded the applicability of composites across aerospace, automotive, biomedical, civil, and renewable energy sectors. This paper provides a comprehensive review of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 923–939 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Self-Healing Structural Polymer Composites Incorporating Bio-Inspired Nanofillers
Abstract: Self-healing polymer composites become an attractive family of intelligent materials that are capable of autonomously repairing damage, which will enhance their durability, reliability and service life in extreme engineering applications. The materials are based on the principles of nature, using the nanofillers that are derived from biological systems to improve mechanical properties and self-healing capabilities by utilizing hierarchical structures and multifunctional interface interactions. The recent developments on the formulation of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design and Development of Lightweight Polymer Composite Manifold Using CF-ABS and GFRP for Aerodynamic Energy Recovery in Electric Vehicles
Abstract: Electric vehicles provide a number of advantages over conventional fuel vehicles due to their low to no emissions. High energy efficiency improves the driving performance of Electric vehicles. However, they have to face certain challenges such as the high purchase cost of batteries and lack of battery charging facilities. The major drawback of an Electric vehicle is to store sufficient energy to run the vehicle for a long time. This …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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AIducate: Your Smart Tutor–A Survey
Abstract: The ongoing “datafication” of our social reality has led directly to the emergence of new data-driven business models across various sectors, including education. As a result, the market for educational services is rapidly expanding. Educational technology (EdTech) companies are at the forefront, offering data-driven pedagogical solutions that are reshaping the landscape of learning. Despite the market's growth, few companies are harnessing the full potential of artificial intelligence (AI) and machine …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 25–30 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
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Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Automation-Driven Composites: Pioneering the Next Generation of Lightweight and Sustainable Electric Vehicles
Abstract: Electric vehicle (EV) market is undergoing a dynamic change due to the changes in regulations, increasing demands of consumers, and a swift development of material science. Composite materials were one of these innovations which have become the key facilitators of lightweight, efficient and safe EV designs, with immense strength to weight ratios, corrosion resistance, and design flexibility unmatched before. The paper will discuss the growing use of composite materials in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 513–525 Read article
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Design, Development, and Optimization of Autonomous Robots for Enhanced Performance
Abstract: Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 22–30 Read article
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Nuclear Power as a Clean Energy Future: A Review
Abstract: The global push for decarbonization necessitates a diverse energy portfolio, and nuclear power, once a subject of intense debate, is re-emerging as a potential cornerstone of a clean energy future. With its capacity for baseload power generation and minimal greenhouse gas emissions during operation, nuclear energy offers a compelling substitute for fossil fuels, particularly in a world grappling with climate change. However, challenges remain regarding safety, waste disposal, and economic …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–11 Read article
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Self-Powered Piezoelectric Nano-Polymer Networks with Embedded Wireless Nodes for Distributed IoT Sensor Platforms
Abstract: Self-powered sensing systems are emerging as a promising solution for next-generation distributed Internet of Things (IoT) platforms, where lightweight, flexible, and low-maintenance devices are required for continuous monitoring. In this work, a self-powered piezoelectric nano-polymer network based on poly-vinylidene fluoride (PVDF) reinforced with BaTiO₃ nanoparticles and multiwalled carbon nanotubes (MWCNTs) was developed for flexible wireless sensing applications. The composite was designed to combine mechanical flexibility, enhanced piezoelectric response, and real-time …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Potential, Principles, and Applications of Microwave Energy
Abstract: Microwave energy 300 MHz to 300 GHz electromagnetic radiation is essential to modern science and technology. Its applications include telecommunications, medicine, industrial processing, and renewable energy, despite its association with kitchen appliances. Microwave energy generation, transmission, and material interaction are covered in this article. It emphasises wireless communication, radar, medical therapies, and microwave- assisted chemical processes. The study also examines new developments in microwave engineering, such as the creation of …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Building the Future: Energy Efficiency and Sustainable Design
Abstract: The research work aims to present an extensive study of energy-efficient green buildings with a focus on the latest technologies, strategies and hence their environmental and economic consequences. It dives deep into what green building is, including 1) site sustainability, 2) energy efficiency, 3) water efficiency, 4), material efficiency, and 5) design. The study discusses how green buildings are planned, in a way to consume the least amount of energy …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–10 Read article
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Development of a Self-Cleaning Mechanism for Solar Panels to Enhance Efficiency
Abstract: On Earth, solar energy is the most plentiful source of energy. As it happens, the heat generated by the fusion of helium on the outermost part of the Sun additionally happens to be renewable. This energy is becoming popular because of natural advantages. In digital circuit design, AI can aid in logic synthesis and analog circuit design, AI can help in sizing transistors. The tools used to transform daylight into …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article