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  1. 2081
  2. 2082
  3. 2083

    Time-Series Forecasting of PM<sub>2.5</sub> and PM<sub>10</sub> Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

    Published 2024-12-01
    “…Here we present a dual-channel deep learning model, integrating surveillance images and multi-source numerical data for air quality forecasting. …”
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    Article
  4. 2084

    Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

    Published 2024-10-01
    “…An improved transformer is integrated with the RNN model and softmax to enhance classification for Android malware recognition. Finally, the snake optimizer algorithm (SOA) method is employed to select the optimum parameter for the classification method. …”
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  5. 2085

    Strategic Demand Response for Economic Dispatch in Wind-Integrated Multi-Area Energy Systems by Peng Li, Li Wang, Peiqiang Zhang, Peng Yan, Chongyang Li, Zhe Nan, Jun Wang

    Published 2025-04-01
    “…Simulation results demonstrate that the proposed approach significantly improves system efficiency by balancing supply-demand mismatches and reducing reliance on external power sources. Compared to conventional methods, the DR capabilities of industrial and commercial loads have increased by 8.08% and 6.69%, respectively, which is primarily due to enhanced utilization of wind power and optimized storage deployment. …”
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    Article
  6. 2086

    Demand Response Model of Low‐Carbon Economy in Integrated Energy System Based on Carbon Flow Traceability by Yu Liu, Xinmei Wang, Songda Li, Lili Liu, Yi Zhao, Ming Yu

    Published 2025-04-01
    “…On this basis, according to the carbon flow index, the two‐stage optimal scheduling model of the power network with the coordination and interaction between the two sides of the source and load is established and solved. …”
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    Article
  7. 2087

    Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

    Published 2025-08-01
    “…These methods face challenges in scalability, interpretability, and their ability to incorporate domain-specific knowledge into analytical pipelines, limiting their utility in practical applications.MethodsTo address these gaps, we propose a novel approach combining the Dynamic Medical Graph Framework (DMGF) and the Attention-Guided Optimization Strategy (AGOS). …”
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  8. 2088

    A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

    Published 2024-11-01
    “…This paper presents a novel adaptive droop control strategy integrating artificial neural networks and particle swarm optimization to enhance microgrid performance. Unlike prior methods that optimize artificial neural network parameters, the proposed approach uses particle swarm optimization offline to generate optimal dq−axis voltage references that compensate for line effects and load variations. …”
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    Article
  9. 2089

    Modelling environment for analyzing the algorithms for 3D reconstruction of videoendoscopic research objects by A. F. Chernyavsky, K. A. Halavataya, V. S. Sadau

    Published 2020-03-01
    “…To compare the result of  reconstruction with a scene, generated using the proposed modelling environment, an optimality criterion is introduced, by which the individual stages of the three-dimensional reconstruction algorithm are compared when the model is optimized using the bundle adjustment method.…”
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  10. 2090

    SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

    Published 2025-05-01
    “…This work introduces SegTrackDetect, an open-source, window-based framework for small and tiny object detection. …”
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    Article
  11. 2091

    Fuzzy Chance-Constrained Day-Ahead Operation of Multi-Building Integrated Energy Systems: A Bi-Level Mixed Game Approach by Jingjing Zhai, Guanbin Shen, Chengao Li, Haoming Liu

    Published 2025-07-01
    “…Further, a privacy-preserving hierarchical solution approach is presented to solve the bi-level optimization model, and the Shapley value method is adopted for benefits redistribution. …”
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  12. 2092

    Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

    Published 2025-03-01
    “…We introduce a novel method that reframes trajectory planning as an optimal puncture site identification problem by leveraging optical principles and computer rendering. …”
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  13. 2093
  14. 2094

    Study of structural stability of a concrete gravity dam using a reliability approach� by Mohamed Essaddik Kerkar, Mustapha Kamel Mihoubi

    Published 2022-07-01
    “…This investigation is to establish a methodology in order to optimize the safety of a concrete gravity dam in operation by carrying out a risk analysis which includes the identification of the sources of danger in terms of scenarios that can occur due to a failure on the dam-reservoir system on an implication of natural hazards (floods, earthquakes) and technical accidents such as malfunction of a spillway gate, drain valve, drainage system or important silting. …”
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  15. 2095

    Development of an Unmanned Glider for Temperature and Image Monitoring by Joel Eldo, Sivasankar Sibi, Zehin A. Ibrahim, Efstratios L. Ntantis

    Published 2025-07-01
    “…Propeller-induced flow was analyzed separately using the lattice Boltzmann method. Real-time flight behavior was simulated in a virtual environment via Simulink and FlightGear. …”
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  16. 2096

    Preparation and Optimization of Mn<sup>2+</sup>-Activated Na<sub>2</sub>ZnGeO<sub>4</sub> Phosphors: Insights into Precursor Selection and Microwave-Assisted Solid-State Synthesis by Xiaomeng Wang, Siyi Wei, Jiaping Zhang, Jiaren Du, Yukun Li, Ke Chen, Hengwei Lin

    Published 2025-07-01
    “…To facilitate the rapid synthesis of high-performance Mn<sup>2+</sup>-activated green phosphors, this research optimizes a microwave-assisted solid-state (MASS) method for the preparation of Na<sub>2</sub>ZnGeO<sub>4</sub>:Mn<sup>2+</sup>. …”
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  17. 2097

    Investigating CO<sub>2</sub> Replacement for the Exploitation of Natural Gas Hydrates: Characteristics and Control Parameters by Yan Zhu, Qun Zhang, Haiyan Jiang, Guo Chen, Shibao Yuan, Zhe Wang

    Published 2025-02-01
    “…In response to escalating global energy demand and climate change mitigation needs, natural gas hydrates (NGHs) are gaining prominence as a clean energy source. The CO<sub>2</sub> replacement method is an innovative NGH extraction technique that reduces reservoir risks and enables CO<sub>2</sub> sequestration. …”
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  18. 2098

    Calculation of Time-Varying Mesh Stiffness of Internal Mesh Transmission and Analysis of Influencing Factors by Jubo Li, Hengbo Zhao, Yanbo Ren, Jianjun Yang

    Published 2025-04-01
    “…Time-varying mesh stiffness (TVMS) of the internal mesh transmission is a significant source of excitation that causes vibration and noise in planetary gear systems, and is also an important parameter in dynamics analysis. …”
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  19. 2099

    Wind Turbine Electrical Energy Supply System for Oil Well Heating by A. A. Belsky, V. A. Morenov, K. S. Kupavykh, M. S. Sandyga

    Published 2019-04-01
    “…In this article, the authors reviewed a new technology to prevent the formation of asphalt-resin-paraffin deposits by the thermal method of electrothermal impact on the oil wellbore shaft using a wind-electric installation as an autonomous power source. …”
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  20. 2100

    An integrated approach to uncertainty and global sensitivity analysis in penstock structural modeling by Manal Haddouch, Imane Hajjout, El Mostapha Boudi

    Published 2025-01-01
    “…Illustrated through a free vibration analysis model of a penstock span, this structured methodology begins with Uncertainty Analysis (UA) to identify variabilities, followed by a screening phase using the Morris method to enhance computational efficiency. Subsequent application of multi-method GSA ranks parameter sensitivities, assesses robustness, and provides a comparative evaluation, providing insights into the effective tools for conducting GSA on penstock models. …”
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