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  • An Efficient Task Scheduling Based on Hybrid Bird Swarm Flow . . .
    In this article, an effective method using MAP reduces structure and HBSFD for the effective task scheduling in the provided cloud First, from the client’s task, task features are extracted Later, these extracted features are chosen by the feature choice using the adjusted rand index and the standard deviation ratio (FSASR) method
  • Malayalam Question Answering System Using Deep Learning Approaches
    To address these issues, we propose a system that utilizes RAG to dynamically retrieve up-to-date, relevant information from external knowledge sources, thus mitigating the common “hallucination”
  • Optimal Charging and Discharging Scheduling of Electric Vehicles using . . .
    Abstract The rapid growth of electric vehicles (EVs) has increased the demand for efficient charging and discharging strategies This paper addresses EV scheduling in small cities to enhance charging efficiency and reduce user costs We propose a hybrid framework that combines Deep Deterministic Policy Gradient (DDPG) with Hindsight Experience Replay (HER) and employs a Genetic Algorithm (GA
  • IETE Journal of Research - ScienceGate
    Frequency Regulation in Conventional, Deregulated and Microgrid Systems: A Review on Designs, Strategies, Techniques and Related Aspects IETE Journal of Research 10 1080 03772063 2021 2012277 2022 pp 1-19 Author (s):
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    Abstract Relevance of the article The modern concept of Industry 4 0 laid the foundation for complete digitalization through the industrial Internet of Things However, the transition to Industry 5 0 requires greater flexibility and resilience of systems High-density mobile industrial IoT with a fog layer is a critical element of this transformation, as it provides not only automation but
  • An innovative approach that uses machine learning algorithms to detect . . .
    Early diagnosis and treatment are essential to minimizing the effects of heart based disease, which are the main causes of number death rates in and around the world The nature of work focuses on using machine learning methods to predict cardiac problems early stage Machine learning algorithms are implemented to analyze for large number of datasets and finding the complex patterns related to
  • High-speed comparator-based switched-capacitor circuit with non-linear . . .
    In scaled complementary metal ndash;oxide ndash;semiconductor (CMOS) processes, op-amp-based switched-capacitor photodiode readouts face intrinsic-gain and bandwidth limitations, motivating comparator-based switched-capacitor (CBSC) architectures that use fast comparators and current-driven charge transfer for high-speed, low-power operation This paper introduces a novel CBSC circuit
  • Optimal Control of BESS for Improved Grid Integration of the Hybrid . . .
    [Taylor Francis] Optimal Control of BESS for Improved Grid Integration of the Hybrid DFIG PV System Using Dual-Layer Adaptive Control Copy benachir144 Post time 6 min ago| Show all posts | Read mode This post will be closed automatically in 2026-04-05 22:33 Reward 30 points I answered Assistant settings journal：IETE Journal of Research Authors：Bisma Hamid; Ikhlaq Hussain; Sheikh Javed
  • Parallel Residual Stacked Bidirectional Long Short . . . - Semantic Scholar
    Internet of Things (IoT) allows the linking of disparate devices via wireless and mobile communication technology The accuracy and integrity of data often determine IoT service quality An acquired data, however, will be abnormal due to the harsh surroundings or device flaws
  • Rani Sharma, Suvita, Singh, Birmohan, Kaur, Manpreet (2025) A Modified . . .
    Rani Sharma, Suvita, Singh, Birmohan, Kaur, Manpreet (2025) A Modified U‐Shaped Transfer Function: Applied to Classify Parkinson'S Disease Computational Intelligence, 41 (2) doi:10 1111 coin 70036 In





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