Efficient tuna detection and counting with improved YOLOv8 and ByteTrack in pelagic fisheries by Yuanchen Cheng, Zichen Zhang, Yuqing Liu, Jie Li, Zhou Fu

“…This paper proposes an automatic tuna counting method based on the YOLOv8n-DMTNet target detection algorithm combined with the improved ByteTrack tracking algorithm. …”
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A multi-strategy improved snake optimizer and its application to SVM parameter selection by Hong Lu, Hongxiang Zhan, Tinghua Wang

“…To address these problems, an improved snake optimizer algorithm (ISO) was proposed. …”
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Research on Improved Deadbeat Control Strategy Based on Interpolation Prediction and Online Inductance Identification by Zhihe Fu, Huangsheng Xie, Jiaxiang Xue, Haisong Luo, Zhuangbin Lin

“…Aiming at the problem of control delay and inductance deviation, which exist in the traditional deadbeat control of the full-bridge circuit, an improved deadbeat control strategy was proposed. An improved Newton interpolation prediction algorithm was proposed to compensate the delay problem of deadbeat control, and an on-line inductance identification algorithm based on double frequency sampling was proposed to correct the inductance deviation. …”
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Improved UWB-based indoor positioning system via NLOS classification and error mitigation by Shoude Wang, Nur Syazreen Ahmad

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An Efficient Aircraft Conflict Detection and Resolution Method Based on an Improved Reinforcement Learning Framework by Qiucheng Xu, Zhangqi Chen, Fangfang Li, Zhiyuan Shen, Wenbin Wei

“…Three simulation scenarios were designed for illustrating the improvements of the proposed algorithm, with the results indicating that the algorithm could establish and maintain safe separation between 20 agents in the simplified hexagon-shaped airspace of Huadong, China. …”
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Two-factor authentication for intellectual property transactions based on improved zero-knowledge proof by Shilong Mo, Wenlong Feng, Mengxing Huang, Siling Feng, Zheng Wang, Yunhong Li

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Expression Recognition Using Improved AlexNet Network in Robot Intelligent Interactive System by Yifeng Zhao, Deyun Chen

“…Finally, the Focal Loss is improved by setting the probability threshold to avoid the impact of mislabeling samples on the classification performance of the model. …”
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Solving the Multiobjective Transportation Decision-Making Problem Based on Improved S-Type Membership Function by Xiang Ziquan, Yang Jiaqi, Muhammad Hamza Naseem, Xiang Zuquan

“…Aiming at the problem of multiobjective transportation decision-making, a fuzzy compromise method with an improved S-type membership function is proposed. This method not only considers a single objective and evaluates it marginally but also evaluates the overall objective as a whole. …”
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Field Grading of Longan SSC via Vis-NIR and Improved BP Neural Network by Jun Li, Meiqi Zhang, Kaixuan Wu, Hengxu Chen, Zhe Ma, Juan Xia, Guangwen Huang

“…Among these, the model preprocessed with Savitzky–Golay smoothing and the first derivative (SG-D1) demonstrated a 7.02% improvement in accuracy compared to the original spectral model. …”
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Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network by Liping Fan, Pengju Yang

“…Finally, the weights and biases of the forecasting model were optimized by the improved cuckoo search algorithm. …”
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STRUCTURAL RESPONSE RECONSTRUCTION BASED ON IMPROVED STRONG TRACKING KALMAN FILTER WITH UNKNOWN EXCITATION

“…A method for the calculation of structural external excitation and the reconstruction of structural response based on improved strong tracking Kalman filter was proposed.Firstly,the external excitation of the structure was derived by using the state-space model,and the external excitation and structural modal coordinates were combined to form a new state vector and an augmented rank state-space model was constructed.Secondly,an improvement based on the traditional strong tracking Kalman filter algorithm was carried out,which can deal with colored noise.Finally,the acceleration responses of some measuring points in the structure were used to calculate the external excitation of the structure and reconstruct the velocity and acceleration responses of the unmeasured points,the numerical simulation and experimental analysis of the two-dimensional truss and extended beam were respectively carried out to verify the proposed method.The results show that the proposed method can effectively reconstruct the structural external excitations,the velocity and acceleration responses of the unmeasured points,and its response time-history curve is in good agreement with the calculated response time-history curve or the measured response time-history curve.…”
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Weak and Occluded Vehicle Detection in Complex Infrared Environment Based on Improved YOLOv4 by Shuangjiang Du, Pin Zhang, Baofu Zhang, Honghui Xu

“…Through experiments the average precision improved from90.34% to 91.92%, the F1 score improved from 87.5% to 87.98%, which demonstrated that the proposed algorithm generated satisfactory and competitive vehicle detection results.…”
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Prediction for Tunnelling-Induced Ground Settlement in Multilayered Soils: An Improved Gradient Boosting Approach by Hongbin An, Yangyang Chen, Jingjie Lei, Hanbin Luo, Elton J. Chen

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Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology by C. Jayasri, V. Balaji, C. M. Nalayini, S. Pradeep

“…Detection is executed through an Improved Long Short-Term Memory (ILSTM) model, whose parameters are optimized using the Crocodile Optimization Algorithm (COA), aiming to maximize classification accuracy. …”
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Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer by Yulong Chai, Xiuqing Chai, Lan Zhang, Gang Ye, Fatima Rashid Sheykhahmad

“…Abstract In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolutional block. An Improved Artificial Protozoa Optimizer (IAPO) metaheuristic algorithm is proposed to optimize the Vanilla CNN and the IAPO improves the original Artificial Protozoa Optimizer through a new search strategy and adaptive parameter tuning mechanism. …”
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Improved RT-DETR for Infrared Ship Detection Based on Multi-Attention and Feature Fusion by Chun Liu, Yuanliang Zhang, Jingfu Shen, Feiyue Liu

“…The experimental results show that, although the enhanced RT-DETR algorithm still experiences missed detections under severe object occlusion, it has significantly improved overall performance, including a 1.7% increase in mAP, a reduction in 4.3 M parameters, and a 5.8 GFLOPs decrease in computational complexity. …”
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Bearing fault diagnosis for high-speed train based on improved VMD and APSO-SVM by ZHANG Qingsong, ZHANG Bing, QIN Yi

“…The experimental results show that traditional SVM has better effect on the diagnosis of rolling element fault and composite type fault, but the diagnosis effect on cage fault is relatively poor. Therefore, APSO algorithm was used to optimize the core parameters of the SVM, which further improved the recognition accuracy of cage fault and realized the effective identification for the fault bearings of high-speed train.…”
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Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor by Hailin Hu, Shiyan Yu, Liangjie Ren, Mingda Zhai, Yuhui Chen

“…The impact of parameter alterations on the LIM system is examined. To improve speed observation accuracy and system stability, a two-parameter MRAS identification model was created. …”
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Improved Data Transmission Scheme of Network Coding Based on Access Point Optimization in VANET by Zhe Yang, Lingzhi Li, Wenqiang Yao, Kaisheng Xu, Dongxin Tang

“…So the AP deployment is one of the key issues to improve the communication performance of VANET. In this paper, an access point optimization method is proposed based on particle swarm optimization algorithm. …”
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Intelligent Motion Compensation for Improving the Tracking Performance of Shipborne Phased Array Radar by J. Mar, K. C. Tsai, Y. T. Wang, M. B. Basnet

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