Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…While initially trained specifically for detecting ictal activity, these algorithms can be fine-tuned for improved interictal detection, aiming at seizure prediction. …”
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Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration by Ghulam Abbas, Zhi Wu, Aamir Ali

“…To address the pointed‐out challenge of multiperiod optimal DG allocation and reconfiguration while simultaneously decreasing the cost of energy supplied, the cost of energy lost, and the voltage deviation, a novel Multi‐objective Bidirectional co‐evolutionary algorithm (BiCo) is implemented. …”
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A Comparison between Multiple-Input Multiple-Output and Multiple-Input Single-Output Radar Configurations for Through-the-Wall Imaging Applications by Stefano Pisa, Renato Cicchetti, Emanuele Piuzzi, Orlandino Testa

“…The field of view for FT and FT-MUSIC is about 45°, while it is less than 15° for the MUSIC algorithm. …”
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Image Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling by Lei Wang, Wenjun Song, Jiali Di, Xuncai Zhang, Chengye Zou

“…The algorithm also features a large key space, providing robust protection against brute force attacks while effectively resisting statistical, differential, noise, and cropping attacks. …”
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Comprehensive Research on Energy Saving Synergy Optimization and Optimal Real-time Control of Hybrid Electric Mining Trucks by Li Hongliang, Zhang Guojing, Fan Ping

“…The optimal energy distribution can be achieved while optimizing the transmission parameters. On this basis, in order to solve the problem that the DP algorithm is difficult to realize online control, the optimal solution of DP energy management corresponding to the optimal transmission parameters is integrated, an effective method to extract the optimal control rules of DP is designed, and an energy management strategy based on the optimal control rules is established to realize online control of hybrid electric mining trucks. …”
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Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…Feature extraction is further optimized through a dual-threshold moving window detection algorithm for precise activity segmentation, a subcarrier selection method to filter redundant or unstable channels, and principal component analysis (PCA) to reduce feature dimensionality while retaining 90% of critical information. …”
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Rail squat detection using hybrid processing of axle box acceleration measurements by Reza Naseri, Brennan L. Gedney, Hossein Asgari, Dimitrios C. Rizos

“…Furthermore, the algorithm achieves remarkable data compression of the recorded signals, by over 96 %, all while retaining essential information needed for squat identification.…”
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Unitanony: a fine-grained and practical anonymization framework for better data utility by Shuguang Yuan, Jing Yu, Tengfei Yang, Chi Chen

“…K-anonymity and l-diversity secure against identity and attribute disclosure. Anonymization algorithms enforce the above models and are willing to reach two primary goals: achieving the privacy objective while maximizing data utility. …”
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YOLO-FDCL: Improved YOLOv8 for Driver Fatigue Detection in Complex Lighting Conditions by Genchao Liu, Kun Wu, Wei Lan, Yunjie Wu

“…This algorithm introduces MobileNetV4 into the backbone network to enhance the model’s ability to extract fatigue-related features in complex driving environments while reducing the model’s parameter size. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

“…Compared to the non-dominated sorting genetic algorithm II (NSGA-II), the convergence speed increases by 33.33% and 36.99%, while optimization accuracy improves by 36.84% and 29.41%. …”
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ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

“…In the first component of the proposed algorithm, we present a rapid CU partitioning technique built upon the ResNet model. …”
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Robust and Adaptive UAVs-Based Localization Without Predefined NLoS Error Models by Ruhul Amin Khalil, Junaid Bahadar Khan, Asiya Jehangir, Nasir Saeed

“…This paper presents a low-complexity localization algorithm that overcomes these limitations by eliminating the need for prior NLoS error statistics or path status information. …”
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Time-Optimal Stabilization of Asynchronous Boolean Control Networks Under State and Control Constraints by Haonan Wang, Shuping Wang, Ruohai Xi, Shuhua Gao

“…The algorithm explicitly accounts for state and control constraints. …”
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Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation by Shengzhong Zhang, Qianqian Hui, Xue Bai, Rongting Sun

“…The results indicate the following: (1) Both algorithms are effective methods for solving this problem, and the method based on the particle swarm optimization algorithm requires a shorter computation time, whereas the method based on the genetic algorithm shows more advantages in optimality. (2) The bilevel model can effectively reduce the total risk of the hazmat transportation while considering the interests of hazmat carriers and ordinary travellers. (3) The utilization rate of reserved lanes increases with an increasing number of tasks. …”
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Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model by Heng Cao, Qianhui Gao

“…This paper studies the optimization algorithm and optimization system, it not only makes the algorithm involve basic mathematical operations, and the computer support required for the data processing process is not high, but it also improves the evaluation of the degree of optimization. …”
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Retracted: Cable tunnel unmanned aerial vehicle location and navigation method based on ultra wideband and depth camera fusion by Guanghua He, Xueling Huang, Yahui Xu, Jun Qin, Ke Sun

“…Experimental comparison results show that the maximum and minimum yaw angles of UAV positioning based on the proposed algorithm are 2.41° and 0.16°, while the maximum and minimum yaw angles of UAV positioning based on the comparison algorithm are 3.11° and 1.51°. …”
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Large-Scale Model Meets Federated Learning: A Hierarchical Hybrid Distributed Training Mechanism for Intelligent Intersection Large-Scale Model by Chang Liu, Shaoyong Guo, Fangfang Dang, Xuesong Qiu, Sujie Shao

“…Experimental results show that the H2Fed algorithm reduces the communication overhead by 21.6% while ensuring the accuracy of the model.…”
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Multi-Channel Sparse-Frequency-Scanning White-Light Interferometry with Adaptive Mode Locking for Pulse Wave Velocity Measurement by Yifei Xu, Laiben Gao, Cheng Qian, Yiping Wang, Wenyan Liu, Xiaoyan Cai, Qiang Liu

“…Compared to normal MLCC algorithm, the Fibonacci-optimized algorithm reduces the number of computational iterations by 57 times while maintaining sub-nanometer resolution under dynamic perturbations. …”
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MFBCE: A Multi-Focal Bionic Compound Eye for Distance Measurement by Qiwei Liu, Xia Wang, Jiaan Xue, Shuaijun Lv, Ranfeng Wei

“…Based on this system, a multi-eye distance measurement algorithm based on target detection was proposed. The algorithm derives the application of binocular distance measurement on cameras with different focal lengths, overcoming the limitation of traditional binocular algorithms that only work with identical cameras. …”
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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…Current pattern recognition methods for map groups primarily fall into two categories: machine learning-based approaches and traditional methods. While both have achieved certain recognition outcomes, they suffer from four key limitations: (1) insufficient algorithmic interpretability; (2) limited model generalizability; (3) restricted pattern diversity in recognition; (4) inability of existing methods (including deep learning and traditional algorithms) to achieve multi-pattern recognition across heterogeneous map group types (e.g., building groups vs. road networks) using a single framework. …”
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