Link Trustworthiness Evaluation over Multiple Heterogeneous Information Networks by Meng Wang, Xu Qin, Wei Jiang, Chunshu Li, Guilin Qi

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Dance Motion Capture Based on Data Fusion Algorithm and Wearable Sensor Network by Yueru Li

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Intelligent Content-Centric Networking Routing Strategy: A Bacterial Quorum Inspired Pattern by Hong Yang, Xiong Guo, Chi Zhang, Mengliang Li

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Dynamic Analysis of a Competition-Cooperation Enterprise Cluster with Core-Satellite Structure and Time Delay by Wenjie Hu, Tao Dong, Hua Zhao

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A New Mathematical Modeling Method for Four-Stage Helicopter Main Gearbox and Dynamic Response Optimization by Yuan Chen, Rupeng Zhu, Guanghu Jin, Yeping Xiong, Jie Gao, Meijun Liao

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Real-Time Warning and Risk Assessment of Tailings Dam Disaster Status Based on Dynamic Hierarchy-Grey Relation Analysis by Wen Li, Yicheng Ye, Nanyan Hu, Xianhua Wang, Qihu Wang

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The Impacts of Multiscale Urban Road Network Centrality on Taxi Travel: A Case Study in Shenzhen by Dan Wang, Yongxi Gong, Xin Zhang, Yaoyu Lin

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Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate by Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem, Ahmed A. Ewees

“…Extreme gradient boosting (XGBoost) was integrated with the developed AI models to select the influencing variables on the CS prediction. …”
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Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms by Hasan Alkahtani, Theyazn H. H. Aldhyani

“…In this framework, three advanced deep learning algorithms were applied to classify the intrusion: a convolution neural network (CNN), a long short-term memory (LSTM), and a hybrid convolution neural network with the long short-term memory (CNN-LSTM) model. The complexity of the network dataset was dimensionality reduced, and to improve the proposed system, the particle swarm optimization method (PSO) was used to select relevant features from the network dataset. …”
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Co-occurring microbial guilds in pig fecal microbiota: key drivers and effects on host performance by Ioanna-Theoni Vourlaki, Raquel Rio-Lopez, Adrià Clavell-Sansalvador, Lino C. Ramírez-Ayala, Maria Ballester, Juan P. Sanchez, Miriam Piles, Raquel Quintanilla, Angela C. da Fonseca de Oliveira, Leandro Batista Costa, Antoni Dalmau, Yuliaxis Ramayo-Caldas

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CSTrans: cross-subdomain transformer for unsupervised domain adaptation by Junchi Liu, Xiang Zhang, Zhigang Luo

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A heuristic-assisted deep reinforcement learning algorithm for flexible job shop scheduling with transport constraints by Xiaoting Dong, Guangxi Wan, Peng Zeng

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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…First, the scheduling process is decomposed into a task sequencing stage and an observation scheduling stage, and a mathematical model with complex constraints and two-stage optimization objectives is established to describe the problem. …”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…However, existing research mainly focuses on improving solution quality within large and diverse neighborhoods, often resulting in increased computational complexity and the risk of getting trapped in local optima. …”
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MLK-TR: a Multi-branch Large Kernel TRansformer for UAV-based images by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Jianjing Gao, Baoxi Yuan

“…These results confirm the effectiveness of MLK-TR in addressing the complexities of UAV object detection.…”
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A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain Environment Based on Lagrangia... by Liangliang Sun, Xirang Hao, Yunpeng Li, Jinghan Xue, Natalia M. Matsveichuk, Yuri N. Sotskov, Qichun Zhang

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Suitability of Blockchain for Storing Private Data from IoT Devices by Marija Cekuš, János Simon

“…Concurrently, blockchain technology has rapidly evolved, providing new avenues for storing data securely, efficiently, and in near real-time. This article investigates the suitability of various blockchain platforms for Internet of Things data storage, selecting seven platforms – namely, IOTA, Signum, Ethereum, Solana, Polygon, Stellar, and Hyperledger Sawtooth. …”
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A multitasking ant system for multi-depot pick-up and delivery location routing problem with time window by Haoyuan Lv, Ruochen Liu, Jianxia Li

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Automated generation of dispatching rules for the green unrelated machines scheduling problem by Nikolina Frid, Marko Ɖurasević, Francisco Javier Gil-Gala

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A low-carbon scheduling method based on improved ant colony algorithm for underground electric transportation vehicles by Yizhe Zhang, Yinan Guo, Yao Huang, Shirong Ge

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