Shape graphs and the instantaneous inference of tactical positions in soccer by Ulrik Brandes, Hadi Sotudeh, Doğan Parlak, Paolo Laffranchi, Mert Erkul

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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

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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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A dual-image encryption scheme for sensitive region of traffic image using public key cryptosystem and novel chaotic map by Tingyu An, Tao Gao, Ting Chen, Donghua Jiang

“…Due to computational limits and security risks caused by key transmission, existing encryption techniques face challenges in efficiency and complex key management. To address these issues, we first introduce a novel three-dimensional composite chaotic map (3D-CCM) validated by various metrics to ensure superior complexity and randomness. …”
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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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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

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DMformer: a transformer with denoising and multi-modal data fusion for enhancing BEV perception by Xuefeng Bao, Feng Liu, Yunli Chen, Yong Li, Rui Tian

“…Additionally, its superior detection capabilities in complex environments and for dynamic objects highlight its efficacy in BEV perception tasks.…”
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CSTrans: cross-subdomain transformer for unsupervised domain adaptation by Junchi Liu, Xiang Zhang, Zhigang Luo

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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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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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Multi-attribute bottleneck identification method for hybrid flow shops in panel furniture intelligent manufacturing by Xinyi Yue, Xianqing Xiong, Mei Zhang, Xiutong Xu

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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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A 3-D Parallel Method of PSTD-Based Reverse Time Migration of GPR Data by Lingjia Huang, Bowen Ma, Qinghua Huang

“…The above superiority in computation efficiency and imaging robustness demonstrates that our new method has great potential in broadening the GPR applications, especially the cases for quasi-real-time detection and complex structure imaging.…”
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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 noise-constrained lightweight high-quality image hiding method based on invertible neural networks by Minghui Zhu, Dapeng Cheng, Yanyan Mao, Lu Sun, Wanting Jing, Yue Kong, Jinjiang Li

“…Most existing image hiding methods have a large number of parameters, complex structures, and significant storage requirements. …”
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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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Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting by Wang Zhong, Wang Yue, Wang Haoran, Tang Nan, Wang Shuyue

“…The attention mechanism adaptively captures complex features from multiple factors, while the TCN-LSTM efficiently extracts temporal features from the sequences. …”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

“…Deep learning (DL) methods offer enhanced capabilities for CyanoHABs detection by learning complex patterns and adapting to varying conditions. …”
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AI adoption in higher education: Advancing sustainable energy management in palestinian universities by Mohannad Moufeed Ayyash, Omar Hasan Salah

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Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

“…High-spatial resolution (HSR) remote sensing images present significant challenges due to their highly complex backgrounds, a large number of densely distributed small targets, and the potential for confusion with land targets. …”
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