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1718 articles for “AC power”
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Exploring the Path to Strategic Investment: An In-Depth SWOT Analysis of Renewable Energy in Afghanistan
Abstract: This study employs SWOT analysis to assess Afghanistan's renewable energy (RE) sector, crucial for achieving its 2030 vision and Paris Agreement commitments. Strengths include RE potential, power sector reform, feed-in tariffs, and donor support. Weaknesses involve security, technical, commercial, and financing hurdles. Opportunities stem from rising energy demand,climate awareness, and decreasing RE costs, while threats include power import reliance, low cost recovery, and policy instability. To attract sustainable foreign direct …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 6–22 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Understanding the Capabilities of ChatGPT for Learning and AI-Powered Assessment
Abstract: This paper investigates the integration of ChatGPT, a generative AI language model developed by OpenAI, into modern educational environments with a focus on its role in learning and assessment. ChatGPT’s ability to understand and generate human- like responses positions it as a powerful tool for enhancing personalized learning experiences, supporting students through interactive tutoring, and assisting educators in administrative and academic tasks such as content creation and automated grading. The …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 101–107 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Incremental Conductance Algorithm and Perturb and Observe Algorithm Reveals Key Insights into Their Comparative Analysis: A Review
Abstract: The maximum or more is a crucial aspect of PV systems to optimize energy harvesting from solar panels, which have been the focus of extensive research and implementation. This study presents a comprehensive comparative analysis of these two methods of evaluation to evaluate their performance and suitability for various operating conditions. The Perturb and Observe method, a simple and widely adopted MPPT algorithm, involves perturbing the operating point and observing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 9–16 Read article
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The Role of Computers in India’s Transformation
Abstract: The role of computers in India's transformation has been pivotal, driving unprecedented growth and development across various sectors. This study explores how the introduction of computers in India, particularly after the liberalization of the economy in the early 1990s, has reshaped the nation’s industrial, economic, and social landscapes. Key areas of impact include information technology (IT), education, governance, healthcare, and finance, where computers have enhanced efficiency, transparency, and accessibility. India's …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 01–07 Read article
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Pharmacokinetics and Pharmacodynamics Studies of Chia Seed Derived Compounds; A Review
Abstract: Chia seeds (Salvia hispanica L.) have been historically valued by ancient civilizations and are increasingly being recognized for their powerful nutritional and therapeutic properties. Rich in omega-3 fatty acids, polyphenols, fiber, and essential minerals, chia seeds are gaining attention for their potential health benefits. This review examines the pharmacokinetics and pharmacodynamics of chia seed-derived compounds, with emphasis on their absorption, distribution, metabolism, and elimination processes, as well as their biological …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 9–15 Read article
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AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 Read article
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AI-Driven Home Security System
Abstract: The fast-paced growth in Artificial Intelligence (AI) and computer vision technologies has created new opportunities in the realm of home security. This paper outlines a developed model of an AI-powered home security system that encompasses face recognition technology for accessing and conducting surveillance at a home in real time. The real time system is designed with advanced algorithms for facial recognition, allowing it to target authorized individuals and intruders from …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 Read article
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Finite Element Modelling of Contact Stresses in Helical Gear Systems
Abstract: Helical gears are widely used in modern power‐transmission systems because of their high load‐carrying capacity, smooth meshing action, and increased overlapping of gear teeth. However, the design of helical gear pairs is constrained by contact stresses generated at the mating tooth surfaces, which can lead to surface fatigue (pitting), micro-cracking, and ultimately gear failure. Traditional analytical methods, such as those of the American Gear Manufacturers Association (AGMA) or International Organization …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 35–39 Read article
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Automated Entry Door Powered by Waste to Electricity Generation
Abstract: Waste-to-energy technologies are currently under scrutiny due to the rising demand for sustainable energy solutions. This paper discusses the design and implementation of an automated entry door system powered by waste-to- electricity technology. The system integrates renewable energy generation from organic and inorganic waste with an efficient automated door mechanism, providing a sustainable and eco- friendly solution for energy utilization in modern infrastructure. The waste-to-electricity module converts biodegradable waste into …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 9–14 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Detection of Stator and Rotor Winding Faults in Induction Motor using Park’s Vector Approach
Abstract: The Induction Motors in every rotating machine’s heart and it’s a very important component in amuch. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motoris necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring ofInduction Motor has become an important and difficult task for Engineers and Researchers mainly inIndustrial applications. Several Condition Monitoring Methods (Technique) including Motor CurrentSignature Analysis Monitoring, …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 1, 2021 · pp. 6–17 Read article
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Reduce Harmonic Distortion using Pseudorandom PWM Technique
Abstract: Due to harmonic content in the voltage and current wave forms in the power electronic devices working at high frequencies cause mechanical vibrations, acoustic noise, and EMI interference makes the workers uncomfortable. Proposed work deals with a new and effective technique to possess low acoustic noise and mechanical vibration when lower switching frequency is chosen. Pseudo random pulse width modulation the new established technique is used to eliminate this undesirable …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 8–13 Read article
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Development of Random Pulse Width Modulation in Power Electronics Converter
Abstract: With the new advancement in power electronic devices the high frequency system can often causes acoustic noise, mechanical vibration, EMI related problems in inverter-fed AC machine due to harmonics content in voltage and current waveforms which makes operator feel uncomfortable to work. Proposed work deals with one of the Pulse Modulation Technique, Random Pulse Width Modulation (RPWM), which is a new and effective technique to let the inverter-fed ac motor …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Performance Evaluation of Brushless DC Motor during Sinusoidal and Trapezoidal Back-EMF Waveform
Abstract: Due to increasing popularity and wide application in the drive system BLDC motor is widely used. An undesirable signal in the brushless dc motor is a ripple in torque, which is in challenging motor control and some machine tools. This article represents the performance evolution of BLDC motor by using the sinusoidal and trapezoidal back EMF waveform for getting the efficient operation of BLDC motor drives. In sinusoidal back EMF …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 14–22 Read article
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RTDS Hardware Implementation and Simulation of 3-ph 4-wire SHAF for Mitigation of Current Harmonics using p-q Control strategy With Fuzzy Controller
Abstract: The main objective of this paper is to develop Fuzzy controller to analyse the performance of instantaneous realactive and reactive power (p–q) control strategy for extracting reference currents of shunt active filters underbalanced, un-balanced and balanced non-sinusoidal conditions. When the supply voltages are balanced andsinusoidal, the all control strategies are converge to the same compensation characteristics; However, thesupply voltages are distorted and/or un-balanced sinusoidal, these control strategies result in different …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 59–71 Read article
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VLSI Implementation of Bit/Digit Serial-Parallel Finite Field GF (2m) Multiplier Using Standard Basis
Abstract: A Finite Field is a field with finitely number of elements. It is also known as Galois field in which the elements can take q different values is referred as GF (q).Finite fields are of great interest in applications like Elliptic Curve Cryptography (ECC), error control and coding. In this paper, we present a simple implementation of finite field GF (2m) multiplier. Here the main aim is to enhance the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 1, Issue 3, 2014 · pp. 1–6 Read article