Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study by Shuailei Zhang, Kai Keng Ang, Dezhi Zheng, Qianxin Hui, Xinlei Chen, Yang Li, Ning Tang, Effie Chew, Rosary Yuting Lim, Cuntai Guan

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Retracted: Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite by Yeqiong Shi, Sainan Wang, Shuna Zhou, M. M. Kamruzzaman

“…The image processing algorithm is designed for the image processing module, and the flow chart of the image processing algorithm is given. …”
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Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. by Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha

“…However, the pipeline based on the RESTORE algorithm was the most accurate when analyzing the artifact containing DTI datasets. …”
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Drowsiness Detection in Drivers Using Facial Feature Analysis by Ebenezer Essel, Fred Lacy, Fatema Albalooshi, Wael Elmedany, Yasser Ismail

“…Despite considerable research in this area, this paper aims to improve the precision of drowsiness detection specifically for long-haul travel by employing the Dlib-based facial feature detection algorithm. …”
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Integrated Navigation Method for Orchard-Dosing Robot Based on LiDAR/IMU/GNSS by Wang Wang, Jifeng Qin, Dezhao Huang, Furui Zhang, Zhijie Liu, Zheng Wang, Fuzeng Yang

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Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization by Hyasseliny A. Hurtado-Mora, Luis A. Herrera-Barajas, Luis J. González-del-Ángel, Roberto Pichardo-Ramírez, Alejandro H. García-Ruiz, Katea E. Lira-García

“…This research proposes a hybrid neuroevolutionary approach that integrates a genetic algorithm with a NEAT-based structure to enhance ANN performance. …”
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Wide Parallax Image Stitching With Balanced Alignment-Naturalness by Tao Song, Qian Li, Peiguo Hou, Ning Li, Wenhao Liu, Zeheng Xia

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Feasibility of Tunnel TEM Advanced Prediction: A 3D Forward Modeling Study by Jiannan Fu, Xiaodong Yang, Guanqun Zhou, Xueliang Jin, Fuqin Zhai, Fanbin Meng, Yafei Wang

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Timelike-bounded dS 4 holography from a solvable sector of the T 2 deformation by Eva Silverstein, Gonzalo Torroba

“…Abstract Recent research has leveraged the tractability of T T ¯ $$ T\overline{T} $$ style deformations to formulate timelike-bounded patches of three-dimensional bulk spacetimes including dS 3. …”
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Utilization of Remote Sensing Dataset and a Deep Learning Object Detection Model to Map Siam Weed Infestations by Zulfadli Mawardi, Deepak Gautam, Timothy G. Whiteside

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Firefly Optimized Resource Control and Routing Stability in MANET by Purushothaman Chandra Sekar, Pichaimuthu Rajasekar, Sundaram Suresh Kumar, Mittaplayam Arunchalam Manivasagam, Chellappan Swarnamma Subash Kumar

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Scenario-aware access control model by Dibin SHAN, Xuehui DU, Wenjuan WANG, Na WANG, Aodi LIU

“…Dynamic access control model is the theoretical basis for constructing a dynamic access control system for big data.However, most existing access control models can only fulfill dynamic access control in a single scenario and are unable to adapt to access control in multiple types of dynamic scenarios.These scenarios include changes in the contextual environment of big data, changes in entity relationships, and changes in the state of objects.To address these issues, an analysis was conducted based on the research of existing access control models and the dynamic factors of big data.Subsequently, scenario-aware access control (SAAC) model was proposed, which was based on dynamic factor conversion and scenario unified modeling.All types of dynamic factors were converted into basic elements such as attributes and relationships.Then, scene information was incorporated to model the various types of constituent elements in a unified manner.A big data dynamic access control model was constructed based on scene information to support multi-type dynamic factors and extended dynamic factors.The working framework of the SAAC model was designed, and the SAAC rule learning algorithm and SAAC rule execution algorithm were proposed corresponding to the workflow of the framework.This enabled the automatic learning of access control rules and dynamic access control decision-making.The security of the proposed model was analyzed and verified by introducing the non-transitive non-interference theory.To validate the effectiveness of the access control policy mining method of the proposed model, experimental comparisons were conducted between the SAAC model and baseline models such as ABAC-L, PBAC-X, DTRM, and FB-CAAC using four datasets.The experimental results demonstrate that the SAAC model and its strategy mining method outperforms the baseline models in terms of metrics such as area under the curve AUC, monotonicity, and steepness of the ROC curve.This verification confirms that the proposed model can support multiple types of dynamic factors and dynamic factor extensions, and that the combined effect of the access control rules obtained from its mining algorithm is relatively high.…”
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Energy management strategies for hybrid diesel vehicles by dynamic planning embedded in real-world driving emission model by Yingzhang Wang, Li Zhang, Yang Chen, Chaokai Li, Baocheng Du, Jinlin Han

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Himawari-8 satellite detection of morning terrain fog in a subtropical region by Huiyun Ma, Changjuan Chen, Zhicong Yi, Huihui Feng, Xiaojing Wu

“…Meanwhile, the algorithm effectively avoids the influence of solar zenith angle. …”
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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem by Juan Wang, Guanghui Zhang, Xiaoling Li, Yanxiang Feng

“…In this research, a novel dynamic and heterogeneous identity based cooperative co-evolutionary algorithm (DHICCA) is proposed for addressing the distributed lot-streaming flowshop scheduling problem (DLSFSP) with the objective to minimize the makespan. …”
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Joint Active/Passive Beamforming Optimization via RWMMSE and Gradient Projection for Downlink IRS-Aided MU-MISO Systems by Seraphin F. Kimaryo, Eduard E. Bahingayi, Kyungchun Lee

“…This study builds upon previous research on downlink IRS-assisted multi-user multiple-input single-output (MISO) systems by introducing innovative methods to accelerate their operations. …”
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Bandit-Based Multiple Access Approach for Multi-Link Operation in Heterogeneous Dynamic Networks by Mingqi Han, Zhenyu Chen, Xinghua Sun

“…The MP-CUCB algorithm enables each MLD to independently make access decisions to improve throughput while guaranteeing the fairness requirements of SLDs. …”
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Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore by Al-Agha Iyad, Abed Ahmed

“…Entities are then filtered and ranked by using a novel ranking algorithm that extends the conventional PageRank algorithm. …”
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Evaluating the effectiveness of using the intelligent adaptive training system for design modules based on printed circuit boards by K. K. Hoang, Yu. V. Donetskaya

“…The main purpose of the study is to substantiate the algorithm and mathematical models of the developed system for assessing the effectiveness of training using an intelligent adaptive system. …”
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Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks by Benoit-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos

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