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  1. 141

    Optimizing Scheduled Train Service for Seaport-Hinterland Corridors: A Time-Space-State Network Approach by Yueyi Li, Xiaodong Zhang

    Published 2025-04-01
    “…To tackle the challenges in SHCs, we propose a targeted networked solution that integrates multimodal coordination and resource optimization. The proposed framework is built upon a time-space-state network model, incorporating service selection, timing, and frequency decisions. …”
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  2. 142
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  4. 144

    Optimizing The Role of Zakat and Wakaf in Promoting National Economic Growth: Analytic Network Process (ANP) Method Approach by Robithoh Alam Islamy, Mulawarman Hannase

    Published 2021-01-01
    “…Aspects that become alternatives in optimization are aspects of policy/legality/institutional, technical aspects of operations/databases, human resources/management aspects, aspects of auditing/control, socialization/community literacy, and cooperation aspects. …”
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  5. 145

    A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

    Published 2025-01-01
    “…Abstract With the development of Unmanned Aerial Vehicle (UAV) technology towards multi-UAV and UAV swarm, multi-UAV cooperative task allocation has more and more influence on the success or failure of UAV missions. …”
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  6. 146

    Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization by R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz

    Published 2025-05-01
    “…The system uses the Tuna Swarm optimizer (TSO) with the enhancement through the implementation of Deep Neural Network (DNN) based feature selection in VANET. …”
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  7. 147

    Optimizing Sustainable Rural Tourism: Key Factors for Development in Semi-Arid Regions (A Case Study of Abadeh County) by Omid Khademhosseini, Bijan Rahmani, Shahriar Khaledi, Ali Osanlu

    Published 2024-12-01
    “…Purpose: This research aimed to identify optimal strategies for developing sustainable rural tourism in Iran's semi-arid areas, specifically focusing on Abadeh County. …”
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  11. 151

    Scientific mapping and research perspectives of the vehicle routing problem: An approach from sustainability strategies by Paola Alzate, Gabriel Antonio Moyano Londoño, José Manuel Slater Carrasco, Gustavo A. Isaza, Eliana M. Toro, Jorge A. Jaramillo-Garzón

    Published 2024-12-01
    “…Finally, research clusters were developed on electric vehicle routing optimization, optimization methods, routing problems, and logistical challenges, underscoring the cooperation between enterprises and sustainable logistics as key areas for future research.…”
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  12. 152

    Koptihub: A UI/UX Design for Transparent Procurement using a User-Centered Design Approach by Luh Made Wisnu Satyaninggrat, Prasis Damai Nursyam Hamijaya

    Published 2025-09-01
    “…This study introduces an innovative e-procurement solution tailored for cooperatives, demonstrating the potential of digital procurement platforms to transform cooperative procurement processes. …”
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  13. 153
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  15. 155

    Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

    Published 2025-04-01
    “…Finally, the multi‐objective sailfish optimization (MOSFO)-based hyperparameter selection process is carried out to optimize the classification outcomes of the CNN-BiLSTM model. …”
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  16. 156

    Multi-UAV Obstacle Avoidance and Formation Control in Unknown Environments by Yawen Li, Pengfei Zhang, Zhongliu Wang, Dian Rong, Muyang Niu, Cong Liu

    Published 2024-11-01
    “…To address the issues of local minima, target unreachability, and significant formation disruption during obstacle avoidance in the conventional artificial potential field (APF), a control approach that integrates APF with optimal consensus control which can achieve cooperative obstacle avoidance is proposed. …”
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    Article
  17. 157

    Multi-UAV Collaborative Covert Communications: An ISAC-based Approach by Weijie YUAN, Jun WU, Yuye SHI

    Published 2025-08-01
    “…To cope with the mobility of Willie, an Unscented Kalman Filtering (UKF)-based method is employed to track and predict Willie's location using delay and Doppler measurements extracted from ISAC echoes. By jointly optimizing the JUAV selection strategy, IUAV-GU scheduling, and communication/jamming power allocation, a real-time fairness transmission maximization problem is formulated. …”
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  18. 158

    Geographic Routing Scheme for Resource and Communication Efficiency in the IoT Ecosystem using Swarm-Intelligence based BFO Algorithm by Shreyas J, Chethana Reddy, Dharamendra Chouhan, P. K. Udayaprasad, N. N. Srinidhi, S. M. Dilipkumar

    Published 2022-01-01
    “…This work formulates two different re-transmission strategies for optimized cross-layer design and also integrates the framework with a swarm intelligence technique assisted Bacteria Foraging Optimization (BFO) for efficient Cluster Head (CH) selection. …”
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  19. 159

    Optimization Configuration Model for Intelligent Measurement Multi-Core Modules Considering “Cloud-Edge-End-Core” Collaboration by Lai Zhou, Qinhao Li, Guoying Lin

    Published 2025-01-01
    “…The results show that the proposed multi-core module optimization configuration model can optimize the selection of intelligent measurement terminal core and smart meter management core according to different application data requirements. …”
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  20. 160

    Optimizing Multi-Tier Scheduling and Secure Routing in Edge-Assisted Software-Defined Wireless Sensor Network Environment Using Moving Target Defense and AI Techniques by As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed A. M. Sharadqh, Hazem (Moh’d Said) Hatamleh

    Published 2024-10-01
    “…Upon constructing the network, the SDWSN nodes are clustered and managed to reduce the energy consumption using the Divide Well To Merge Better (DWTMB) algorithm in which the optimal Cluster Leader (CL) is selected based on adequate constraint. …”
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