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  1. 61

    A HEN-PPO strategy for home energy management system with reduce EV anxieties by Ajay Singh, B.K. Panigrahi

    Published 2024-12-01
    “…Dynamic and unpredictable factors such as user behavior, ambient conditions, and real-time electricity pricing challenge scheduling residential building loads which are efficiently managed in this approach. …”
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  2. 62

    Impact of the COVID-19 pandemic on dengue in Brazil: Interrupted time series analysis of changes in surveillance and transmission. by Kirstin Oliveira Roster, Tiago Martinelli, Colm Connaughton, Mauricio Santillana, Francisco A Rodrigues

    Published 2024-12-01
    “…In this study, we estimated the gap between expected and observed dengue cases in each Brazilian state from March to April 2020 using an interrupted time series design with forecasts from machine learning models. We then decomposed the gap into the contributions of pandemic-induced changes in disease surveillance and transmission dynamics, using proxies for care availability and care seeking behavior. …”
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  3. 63

    Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty by Feng Renhai, Wajid Khan, Afshan Tariq, Muhammad Abbas, Muhammad Zain Yousaf, Abdul Aziz, Mohit Bajaj, Mustafa Abdullah, Milkias Tuka

    Published 2025-04-01
    “…To enhance the responsiveness of our AUFLS approach, we integrate a reinforcement learning model that adjusts in real time to grid conditions, optimizing decision-making for frequency stabilization. …”
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  4. 64

    Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet by Janapati Venkata Krishna, Priyanka Singh, Regonda Nagaraju, Setti Vidya Sagar Appaji, Attuluri Uday Kiran, K. Spandana

    Published 2025-01-01
    “…Multi-Scale Residual Attention Network combines residual learning with the attention mechanism at multiple scales, achieving a latency reduction of 25% and an image quality improvement of 10% to balance high visual fidelity with computational efficiency. …”
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  5. 65

    A Comparative Study on Fuzzy Logic-Based Liquid Level Control Systems with Integrated Industrial Communication Technology by Hasan Mhd Nazha, Ali Mahmoud Youssef, Mohamad Ayham Darwich, Their Ahmad Ibrahim, Hala Essa Homsieh

    Published 2025-03-01
    “…Unlike the PID controller, which relies on predefined tuning parameters, the fuzzy logic controller dynamically adjusts control actions based on system behavior, making it more suitable for processes with non-linear dynamics. …”
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  6. 66

    Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

    Published 2025-06-01
    “…However, IoT systems face significant security challenges due to decentralized architectures, resource-constrained devices, and dynamic network environments. These challenges include denial-of-service (DoS) attacks, anomalous network behaviors, and data manipulation, which threaten the security and reliability of IoT ecosystems. …”
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  7. 67

    From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference by Adèle Helena Ribeiro, Júlia M. P. Soler, Rodrigo M. Corder, Marcelo U. Ferreira, Marcelo U. Ferreira, Dominik Heider

    Published 2025-05-01
    “…While traditional research has focused on biological factors underlying human-mosquito interactions, growing evidence highlights the complex interplay of environmental, behavioral, and socioeconomic factors, alongside mobility and both human and parasite genetics, in shaping transmission dynamics, recurrence patterns, and control effectiveness. …”
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  8. 68

    A data-driven reduced-order model for fast prediction of resonant acoustic flow under vertical vibration based on secondary decomposition by Yuqi Gao, Ning Ma, Shifu Zhu, Pengchao Zhang, Hongxing Liu, Zhongyuan Xie

    Published 2025-04-01
    “…A specialized BiLSTM-attention network is then employed to learn and predict each component's behavior. By integrating secondary decomposition techniques commonly used in time series prediction with ROM technology, this paper presents a non-intrusive flow field prediction method. …”
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  9. 69

    Antecedents and consequences affecting job plateau among school employees in Tehran by Nafiseh Ghasemi Zargar, parivash jafari, Nadergholi Ghourchian, AmirHossein Mohammaddavoudi

    Published 2025-02-01
    “…They believe that the plateau in the professional and career path indicates stagnation, lack of progress and reduction of individual learning, and induces a feeling of depression and failure. …”
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