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955 articles for “Generative AI”
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Voltage and Frequency Control of a Self Excited Induction Generator Using VSI
Abstract: In remote areas of a country where it is impossible or too expensive to access main power lines, one solution to obtain electric power is to use a small stand-alone hydro power plant. In such a situation, the turbine is been driven by a steady flow of water in a river. It is preferable to use a self-excited induction generator, due to its low cost an ruggedness. The voltage and …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 13–20 Read article
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Fusion of Intelligence: Biosensors and AI in the Medical Landscape
Abstract: Healthcare stands poised to benefit immensely from emerging technologies like artificial intelligence (AI) and advanced biological sensors (biosensors). This study provides a comprehensive analysis on the integration of AI algorithms and biosensor devices for transformative health applications, assessing clinical relevance alongside ethical considerations. An overview of biosensors and AI in medical contexts is followed by examining how these technologies synergize for improved diagnostics, treatment personalization, remote monitoring, and other setups. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 67–86 Read article
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Enhanced Task Automation through IoT and ChatGPT Integration in Personal AI Companions
Abstract: A new breed of clever, likable, and natural-sounding personal AI companions could be produced by integrating ChatGPT with IoT gadgets. The Internet of Things (IoT) and artificial intelligence (AI) are developing at a rapid pace, which has created exciting new opportunities for the creation of intelligent and personalized companions. The goal of this suggested system is to improve user experiences by offering a flexible AI-driven assistant. It does this by …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 19–24 Read article
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Dynamic Economic Environmental Dispatch of Electric Power Generation using TVAC-PSO
Abstract: This research aims to propose solution to the dynamic non-convex economic load dispatch problem along with emission minimization using particle swarm optimization (PSO). The primitive solution of dynamic economic load dispatch (DELD) problem is to schedule the allocated generator outputs optimally so as to meet the required load demand of particular interval at minimum generation cost, while satisfying (i) all equality and inequality operational constraints and (ii) to reduce emission …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 6, Issue 2, 2016 · pp. 30–39 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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Chitosan-Based Polymer Coatings for Antimicrobial Catheter Surfaces
Abstract: Catheter-associated infections (CAIs) remain a major clinical challenge. Microbial adhesion and subsequent biofilm formation on catheter surfaces significantly reduce the effectiveness of antimicrobial therapy, resulting in prolonged hospitalization, increased healthcare costs, and higher patient morbidity. Consequently, the development of antimicrobial polymer coatings has emerged as an effective strategy for minimizing catheter-associated infections while improving device performance. Among the various biomaterials investigated, chitosan has attracted considerable attention owing to its intrinsic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Review on Novelty of Design and Development of Pneumatic Bicycle
Abstract: In the current day scenario, the trend in the automotive industry is shifting towards the development of light weight vehicles. Amid the cut throat competition, the competitors are majorly aiming at reducing the weight of vehicle. This in turn tends to help in the better handing of the vehicle and increases the efficiency of vehicle compared to the existing models. Moreover, in the modern day scenario it is of major …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 1–4 Read article
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Performance Improvement of Wind Turbines Using Vortex Generators (VGs): A Review
Abstract: In the present scenario, increasing use of fossil fuels for mass energy production leads to increased CO2 emissions and can lead to climatic changes at global level. In order to reduce the emissions, a gradual shift towards renewable sources is going on. In India, 1.6% of total energy is produced by using WTG’s. Major source of energy depends on blade surface and shape. It also depends on air flow pattern. …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 1, 2017 · pp. 33–36 Read article
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Deep Learning Algorithms for Medical Image Encryption to Ensure Secure Data Transfer
Abstract: Deep learning has significantly impacted various fields, including medical imaging, by offering new ways to encrypt medical images for secure data transfer. This research work examines how deep learning algorithms are used to enhance medical image security during transmission. Given the high sensitivity and privacy requirements of medical data, it’s crucial to maintain its confidentiality. Traditional encryption techniques, while reliable, often struggle with issues like scalability, computational efficiency, and the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 28–36 Read article
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FLUTTERCHAT: A Real-time Firebase Chat Application with AI-based Chatbot
Abstract: Recently, the development and deployment of chatbots have gathered significant attention from both developers and researchers. Chatbots represent AI-driven conversational systems capable of understanding and responding to human language using advanced techniques like Natural Language Processing (NLP) and Neural Networks (NN). A cutting-edge real-time chat application has been crafted using Flutter and OpenAI, seamlessly integrating an AI-powered chatbot with an innovative image generator to enrich user interaction and engagement. The …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 42–51 Read article
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GPS based Receiver Autonomous Integrity Monitoring (RAIM) for Onboard Aircrafts over the Indian Subcontinent
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The introduction of Global Positioning System (GPS) has revolutionized the field of navigation particularly in the field of navigation. The GPS is a reliable, all weather satellite based radio navigation system that provides accurate three dimensional (3D) positions, velocity and timing information up to 10-6 seconds accuracy anywhere on or above the earth’s surface.However, a navigation system is required to deliver alarm …
Published in Journal of Aerospace Engineering & Technology · Vol. 1, Issue 2, 2011 Read article
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Cogeneration System in Concentrated Photovoltaic Panels
Abstract: This study analyses the behavior of hybrid systems composed of photovoltaic panels (PV) and phase-change materials (PCM) under solar concentration conditions, aiming to generate electric and thermal energy in water simultaneously (cogeneration). This work looks for system performance improvement while increasing the generated power and energy by the PV panel and the thermal system in unison. The study shows the increase in power and energy delivered by the prototype compared …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–14 Read article
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Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
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Advancements in Autonomous Fire-Fighting Robots: Enhancing Safety and Efficiency
Abstract: This paper centers around the development and assembly of a firefighting robot engineered to sense and extinguish fires. The robot integrates environmental sensing and proportional motor control principles to adeptly identify and combat fire incidents. It relies on sensors such as thermistors, ultraviolet sensors, or flame sensors to detect the presence of flames. Once a fire is detected, the robot triggers an electronic valve to dispense water sprinkles onto the …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 19–28 Read article
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A Review on Drug Delivery Systems Using Microfluidics
Abstract: AbstractMicrofluidics is undoubtedly an influential technology that is currently revolutionizing the chemical and biological studies by replicating laboratory benchtop technology on a miniature chip-scale device. In the area of drug delivery science, microfluidics offers advantages, such as accurate dosage, ideal delivery, target-precise delivery, sustainable and controlled release, several dosing, and slight side effects. These helps bring significant assets to the drug delivery systems. Microfluidic technology has been increasingly used for …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 10, Issue 1, 2020 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Design and Analysis of Shear Fitting Used in Fin and Fuselage Attachment of a Basic Trainer Aircraft
Abstract: Design of an airplane is complex as it has six degrees of freedom once it is set to fly; hencedealing with forces during flight becomes crucial. The structure of the plane should alsowithstand great ‘g’ force during the flight of the aircraft. The wing generates lift as the planemoves in the air, which counteracts the weight of the plane. The empennage structure willprovide stability to the aircraft. Hence, the attachments …
Published in Journal of Aerospace Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 36–40 Read article
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Autonomous Scripting: The Future of AI-Enhanced Shell Programming for DevOps and Security
Abstract: The evolution of operating systems has seen a paradigm shift with the integration of artificial intelligence, quantum computing, and edge computing technologies. Autonomous scripting, driven by AI, is transforming DevOps workflows and security paradigms, enabling self-healing systems, predictive automation, and intelligent threat detection. This study explores the role of AI-enhanced shell programming in the automation landscape, discussing its implications for next-generation operating systems. It further delves into the integration of …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 28–39 Read article
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Low-cost Air Quality Monitoring System for Dhaka City
Abstract: AbstractContamination is the expansion of any substance or any type of vitality to nature at a rate quicker than it very well may be scattered, weakened, deteriorated, reused, or put away in some innocuous structure. Pollution has become a crucial problem for busy cities all around the world. There are many types of pollution among them: air pollution, water pollution, soil pollution, food pollution, noise pollution, light pollution, thermal pollution …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 3, 2019 · pp. 33–41 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article