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  1. 641

    Lightweight framework for misbehavior detection in internet of vehicles by Yujing Gong, Bin-Jie Hu

    Published 2025-03-01
    “…Despite LTC and CFC having significantly fewer parameters, making them less complex and more space-efficient than CNN-LSTM, the latter proves to be more time-efficient. …”
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  2. 642
  3. 643

    Hierarchical Information-guided robotic grasp detection by Zeyao Hou, Yueran Zhao, Yutao Jin, Chao Yang, Zongyu He, Xiaoyan Chen

    Published 2025-05-01
    “…Abstract With the advancement of deep learning, robotic grasping has seen widespread application in fields, becoming a critical component in enhancing automation. Accurate and efficient grasping capabilities not only significantly boost productivity but also ensure safety and reliability in complex and dynamic environments. …”
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  4. 644

    A Complexity Reduction Method for Intra Prediction Method in HEVC Standard by Zahra Mirian, Mohammadreza Ramezanpour

    Published 2022-09-01
    “…High Efficiency Video Coding (HEVC) is considered the last standard for video compression with about 50% additional compression compared to the previous standard i.e. …”
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  5. 645

    Efficient and provably-secure certificateless sequential aggregate signature scheme by Zhu WANG, Siqi YANG, Fenghua LI, Kui GENG, Tingting PENG, Mengyao SHI

    Published 2022-05-01
    “…Aiming at the problem that current schemes mostly let the latter signer to verify the multiple signatures of the previous signer, and the message is signed and then passed to the next signer, leading to the efficiency problem of long overall signature time.A sequential aggregate signature scheme based on bilinear pairs was proposed.The aggregate signatures of documents were generated by multiple users in a certain order, and only the final signature was needed to be verified to confirm the correct order of signatures and the legitimacy of multiple user signatures.The complexity of verifying the multi-user sequential signature was effectively reduced and the offline verification of the authenticity of signature was realized when the user was offline or in a delay-tolerant network with limited node caching capacity and network resources.It is shown that the proposed scheme is existential unforgeability against chosen-message attacks under adversary adaptive selection messages in the random oracle model.…”
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  6. 646

    Path Planning Algorithm for Manipulators in Complex Scenes Based on Improved RRT* by Xiqing Zhang, Pengyu Wang, Yongrui Guo, Qianqian Han, Kuoran Zhang

    Published 2025-01-01
    “…The algorithm generates multiple candidate points per iteration, selecting a sampling point probabilistically based on heuristic values, thereby optimizing sampling efficiency and reducing unnecessary nodes. …”
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  7. 647

    LCD: IDENTIFYING INFLUENTIAL NODES IN COMPLEX NETWORKS WITH LAYERED CLUSTERING AND DEGREE by Abdulhakeem Othman Mohammed

    Published 2025-04-01
    “…While numerous algorithms have been proposed in the literature, many struggle with either limited spreading efficiency or high computational complexity. To address this challenge, we present Layered Clustering Degree (LCD), an effective method for identifying a set of well-distributed spreaders with high spreading ability, while maintaining a computational complexity of  making it highly suitable for large-scale networks where both efficiency and computational complexity are essential. …”
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  8. 648

    An Innovative Priority Queueing Strategy for Mitigating Traffic Congestion in Complex Networks by Ganhua Wu

    Published 2025-02-01
    “…The GPQ strategy provides a practical and adaptable solution for improving transportation efficiency in complex networks, bridging the gap between conventional routing techniques and emerging demands for dynamic congestion management.…”
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  9. 649

    Analysis of Methods for Training Robotic Manipulators to Perform Complex Motion Trajectories by Yurii Senchuk, Fedir Matiko

    Published 2025-07-01
    “…The article examines current approaches to training robotic manipulators for executing complex tasks in dynamic and changing environments. …”
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  10. 650

    The Complexity of Oxidative Stress in Human Age-Related Diseases—A Review by Alicja Płóciniczak, Ewelina Bukowska-Olech, Ewa Wysocka

    Published 2025-07-01
    “…One of the key contributors to aging and age-related diseases is oxidative stress, resulting from an imbalance between the generation of reactive oxygen species (ROS) and the efficiency of antioxidant defense systems. In this review, we introduce the concept of the oxidative stress complexity—a network encompassing ROS-generating systems, enzymatic and non-enzymatic antioxidants, and genetic determinants that collectively shape redox homeostasis. …”
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  11. 651
  12. 652

    Rapid equivalent simplification algorithm for complex underground mine ventilation networks by Jinzhang JIA, Wentian SHANG, Jian LIU, Lijun Deng

    Published 2025-01-01
    “…To address these challenges, a rapid equivalent simplification algorithm for complex mine ventilation networks is proposed. This algorithm employs strong connectivity component algorithms from graph theory to swiftly detect unidirectional loops within the network. …”
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  13. 653

    Attention-enhanced StrongSORT for robust vehicle tracking in complex environments by Wei Xu, Xiaodong Du, Ruochen Li, Bingjie Li, Yuhu Jiao, Lei Xing

    Published 2025-05-01
    “…Third, the optimized CBH-Conv module employs Hardswish activation and depthwise separable convolution to mitigate gradient vanishing while maintaining real-time efficiency (achieving a 17% MOTA improvement at 213 FPS).Evaluated on the MOT-16 dataset, AE-StrongSORT demonstrates substantial improvements over the baseline StrongSORT, with 17%, 2.78%, and 9.99% gains in MOTA, HOTA, and IDF1 metrics respectively, alongside significant reductions in false/missed detections. …”
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  14. 654

    Optimized Faster R-CNN with Swintransformer for Robust Multi-Class Wildfire Detection by Sugi Choi, Sunghwan Kim, Haiyoung Jung

    Published 2025-04-01
    “…Wildfires are a critical global threat, emphasizing the need for efficient detection systems capable of identifying fires and distinguishing fire-related from non-fire events in their early stages. …”
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  15. 655

    Economic and ecological efficiency of adaptive system for fertilising spring barley by I. I. Gureev, A. V. Gostev, L. B. Nitchenko

    Published 2021-10-01
    “…The high efficiency of using complex fertilizers in the cultivation of spring barley has been established. …”
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  16. 656
  17. 657

    A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

    Published 2025-05-01
    “…Experiments demonstrate that in complex lighting scenarios, FasterEVPoints boasts 95% detection accuracy on a proprietary dataset with a positioning error of less than 2 cm at a 50 cm distance. …”
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  18. 658

    Audio Deepfake Detection Using Deep Learning by Ousama A. Shaaban, Remzi Yildirim

    Published 2025-03-01
    “…ABSTRACT This study introduces an enhanced Siamese convolutional neural network (Siamese CNN) architecture with a novel StacLoss function and self‐attention modules for efficient identification of audio deepfakes. Our module directly compares unprocessed original audio with modified audio by initially applying convolutional operations and dual branches to extract complex characteristics from raw audio signals. …”
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  19. 659

    Advanced Object Detection for Maritime Fire Safety by Fazliddin Makhmudov, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young-Im Cho

    Published 2024-11-01
    “…To address the specific challenges of shipboard fire and smoke detection, such as varying lighting conditions, occlusions, and the complex structure of ships, we enhance the baseline DETR model by integrating EfficientNet-B0 as the backbone. …”
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  20. 660

    Optimizing lightweight neural networks for efficient mobile edge computing by Liu Liu, Zhifei Xu

    Published 2025-07-01
    “…Compared to prior single-agent or heuristic methods, our approach improves scalability and efficiency while reducing computational complexity. …”
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