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    An efficient hybrid filter-wrapper method based on improved Harris Hawks optimization for feature selection by Jamshid Pirgazi, Mohammad Mehdi Pourhashem Kallehbasti, Ali Ghanbari Sorkhi, Ali Kermani

    Published 2024-10-01
    “…In the first stage, a filter method is employed to assign weights to the features, facilitating the removal of redundant and irrelevant features and reducing the computational cost of classification algorithms. A subset of high-weight features is retained for further processing in the second stage. …”
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  3. 24683

    A Survey of Post-Quantum Cryptography Migration in Vehicles by Nils Lohmiller, Sabrina Kaniewski, Michael Menth, Tobias Heer

    Published 2025-01-01
    “…The advent of quantum computers makes asymmetric cryptographic algorithms insecure and vulnerable. …”
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  4. 24684
  5. 24685

    Cattle weight estimation using 2D side-view images and estimated depth-based 3D modeling by Guilherme Botazzo Rozendo, Maichol Dadi, Annalisa Franco, Alessandra Lumini

    Published 2025-12-01
    “…Recent advancements in computer vision and machine learning have led to the development of non-invasive techniques that estimate cattle weight using images. …”
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  6. 24686

    Adaptive and dynamic smart traffic light system for efficient management of regular and emergency vehicles at city intersection by Rafik Zerroug, Zibouda Aliouat, Makhlouf Aliouat, Adel Alti

    Published 2024-12-01
    “…Therefore, traffic data is collected from cameras, and useful traffic information is extracted using computer vision and image processing. The proposed system also uses the Weight Chicken Swarm Optimisation algorithm for decision‐making to reduce congestion and average vehicle waiting time significantly. …”
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    Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks by Tu Viet Nguyen, Nhan Duc Ho, Hieu Thien Hoang, Cuong Danh Do, Kok-Seng Wong

    Published 2022-01-01
    “…In the FL framework, data for learning tasks are acquired and processed locally at the edge node, and only the updated ML parameters are transmitted to the central server for aggregation. …”
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    Long-time coherent accumulation algorithms for reflected signal with non-zero higher derivatives of the range to radar target in the spectral domain by S. V. Kozlov, Van Cuong Le

    Published 2021-08-01
    “…The algorithms include intra-period processing with simultaneous correction of range and frequency migration and inter-period processing with coherent accumulation of signals at the output of intra-period processing. …”
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    Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

    Published 2025-06-01
    “…The Natural Language Processing (NLP) and speech recognition have transformed language learning by providing interactive and real-time feedback, enhancing oral English proficiency. …”
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  15. 24695

    POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

    Published 2025-01-01
    “…Microwave heating processes require accurate simulation of time-varying electromagnetic (EM) properties to ensure reliable temperature predictions. …”
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  16. 24696

    From Theoretical Framework to Empirical Investigation: A Bibliometric Analysis of Research Evolution and Emerging Trends in Polarity Sensitivity Studies Between 1980 and 2023 by Lingda Kong, Yi Li, Yanting Sun, Yong Jiang, Xiaoming Jiang

    Published 2025-05-01
    “…Challenges include reconciling universal principles with language-specific variations and integrating processing models with formal theories. Promising research directions involve the combination of computational modelling, diachronic studies, and applications in language teaching and natural language processing. …”
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  17. 24697

    SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

    Published 2025-04-01
    “…First, we introduce a Structural Synergistic Group-Attention Residual Network (SSGAR-Net) that integrates group convolution with an enhanced convolutional block attention mechanism, complemented by a layer-skipping architecture for optimized information flow and redundancy verification for computational efficiency. Second, a Depth-Weighted Hierarchical Fusion Network (DWHF-Net) incorporates depthwise separable convolution to minimize computational complexity while preserving model performance, which is particularly effective for high-resolution SSS image processing. …”
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