Improved detection algorithm for rail profile wear based on line structured light by LIU Zhengfeng, CHEN Jianzheng, LI Wei

“…To address this, this paper presented an improved two-stage rail profile wear detection algorithm. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…To address these challenges, this paper introduces modifications to the edge detection function based on the adaptive local fitting model and develops an improved active contour model. This model is combined with fast computational image segmentation algorithm, alternating direction method of multipliers (ADMM), to solve the level-set equations. …”
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Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults by Zhenhua Niu

“…Traditional diagnostic methods have shortcomings in accuracy and robustness.MethodsTherefore, the study integrates variational autoencoders with long short-term memory network models, enhances them using dropout methods, and proposes a hybrid diagnostic analysis model that combines improved autoencoder algorithms and signal reconstruction.ResultsThe experiment outcomes indicated that under the slow degradation mode of the bearing, the precision, recall, F1 score, and overall accuracy of the improved autoencoder model were 0.931, 0.933, 0.920, and 0.939, respectively, which were better than the pre-modified model. …”
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Improved Trimming Ant Colony Optimization Algorithm for Mobile Robot Path Planning by Junxia Ma, Qilin Liu, Zixu Yang, Bo Wang

“…To address these challenges, this paper proposes an improved trimming ant colony optimization (ITACO) algorithm. …”
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Path Planning for Wall-Climbing Robots Using an Improved Sparrow Search Algorithm by Wenyuan Xu, Chao Hou, Guodong Li, Chuang Cui

“…This paper proposes an improved sparrow search algorithm based on logistic–tent chaotic mapping and differential evolution, aimed at addressing the issue of the sparrow search algorithm’s tendency to fall into local optima, thereby optimizing path planning for bridge inspection. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

“…We analyze and propose an improved algorithm EFA-SSD (Enhanced Feature Aggregation SSD) for automatic detection of airport road subsurface diseases, which solves the problems of strong noise background conditions, severe interference of morphological features of different types of subsurface diseases, and low target recognition. …”
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Improved Real-Time SPGA Algorithm and Hardware Processing Architecture for Small UAVs by Huan Wang, Yunlong Liu, Yanlei Li, Hang Li, Xuyang Ge, Jihao Xin, Xingdong Liang

“…For SAR images of size 4096 × 12,288, the FSI-SPGA algorithm demonstrated a 6 times improvement in processing efficiency compared to traditional methods while maintaining the same level of precision. …”
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Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation by Jin-zhong CHEN, Nian-min YAO, Shao-bin CAI, Mei-ling SUN

“…Anticipatory scheduling (AS) of Linux I/O schedule layer assigns fixed anticipation period length to each process.It will introduce extra delay if I/O request does not arrive in time.The improved anticipatory scheduling (WPCAS) algorithm is proposed which is based on workload characteristic and service time.WPCAS includes process classifier(PC) module and request service time evaluation (STE) module.PC module assigns different anticipation period lengths in terms of workload characteristic.STE module decides whether to anticipate the coming request according to service time.Experimental results show that WPCAS algorithm is superior to 95%-Heuristic and AS in terms of throughput,average waiting time of anticipation success and deceptive idleness.…”
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Improved Bald Eagle Search Optimization Algorithm for the Inverse Kinematics of Robotic Manipulators by Guojun Zhao, Bo Tao, Du Jiang, Juntong Yun, Hanwen Fan

“…To address this challenge, the bald eagle search optimization algorithm is introduced. This algorithm combines the advantages of evolutionary and swarm techniques, making it more effective at solving nonlinear problems and improving search efficiency. …”
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An Improved Cuckoo Search Algorithm for Maximizing the Coverage Range of Wireless Sensor Networks by Sen-Yu Yang, Yin-Hong Xiang, Di-Wen Kang, Kai-Qing Zhou

“… The issue of increasing the range covered by a wireless sensor network with restricted sensors is addressed utilizing improved CS employing the PSO algorithm and opposition-based learning (ICS-PSO-OBL). …”
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Parameter Optimization of MALDI-TOF MS Based on Improved Whale Optimization Algorithm by Yu-peng ZHANG, Yu-gong DANG, Hui-yuan YANG, Zhi-gang ZHOU, Gao-hang JIANG

“…To address the shortcomings of the Whale optimization algorithm, including slow convergence speed, low precision and susceptibility to local optima, improvements were made on the convergence factor, inertia weight and position update strategy. …”
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Smooth Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm by Wenming Wang, Jiangdong Zhao, Zebin Li, Ji Huang

“…Aiming at the problems of slow convergence, easy to fall into local optimum, and poor smoothness of traditional ant colony algorithm in mobile robot path planning, an improved ant colony algorithm based on path smoothing factor was proposed. …”
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Research on velocity measurement and location method based on improved Kalman filter algorithm by Zhao Zhang, Jie Yang, Jusong Jiang

“…The results indicate that APRKF excels in both speed and position estimation, demonstrating its effectiveness in improving estimation accuracy. Originality/value – This study proposes an innovative method for the velocity and position estimation system of maglev tube-track trains.…”
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Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…In the first stage, an improved multi-objective FBI algorithm is used to obtain the Pareto front solutions of this model, in which a hybrid real and integer encoding–decoding method is used for exploring the solution space and a fast non-dominated sorting method for improving efficiency. …”
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Research on Beef Marbling Grading Algorithm Based on Improved YOLOv8x by Jun Liu, Lian Wang, Huafu Xu, Jie Pi, Daoying Wang

“…The model integrates a convolutional neural network (CNN) augmented with an improved attention mechanism and loss function, along with a Region-of-Interest (ROI) preprocessing algorithm to automate the marbling grading process. …”
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Detecting Planting Holes Using Improved YOLO-PH Algorithm with UAV Images by Kaiyuan Long, Shibo Li, Jiangping Long, Hui Lin, Yang Yin

“…However, existing target detection algorithms face difficulties in identifying planting holes based on their edge features, particularly in complex environments. …”
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Registration between SAR and optical images based on improved phase consistency algorithm by Wannan Zhang

“…By employing this improved strategy, we can better capture the common features between optical and SAR images, resulting in more accurate and robust image registration. …”
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Error Compensation for Delta Robot Based on Improved PSO-GA-BP Algorithm by Kaiwen Yang, Zhan Pan, Linlin Zheng, Qinwen Li, Deyong Shang

“…Additionally, the core mechanisms of genetic algorithms, including selection, crossover, and mutation operations, are introduced to improve algorithm diversity, ultimately proposing an improved PSO-GA-BP error compensation algorithm. …”
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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…The improved Harris Hawk optimization algorithm is used as a feature selection scheme to reduce the impact of redundant and noisy features on the performance of the classification model. …”
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Parameter identification of photovoltaic inverter based on improved particle swarm optimization algorithm by LUO Jian, SUN Yue, JIANG Lijuan

“…Then， the actual working data of photovoltaic power station was collected in stages， and the initial value range of each parameter to be identified was obtained after the data was analyzed and processed， and the synchronous identification parameter experiment was designed as a reference. Finally， an improved chaos genetic algorithm of particle swarm optimization（CGAPSO） was proposed as an identification algorithm to identify the relevant parameters step by step. …”
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