Retracted: Reinforcement Learning-Based Continuous Action Space Path Planning Method for Mobile Robots by Journal of Robotics

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Semiparametric Deep Learning Manipulator Inverse Dynamics Modeling Method for Smart City and Industrial Applications by Nan Liu, Liangyu Li, Bing Hao, Liusong Yang, Tonghai Hu, Tao Xue, Shoujun Wang, Xingmao Shao

“…In this paper, the Semiparametric Deep Learning (SDL) method is proposed to model robot inverse dynamics. …”
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Problem-Based Inquiry Method: Improving Critical Thinking Skills, Academic Outcomes, and Learning Motivation by Christina Ismaniati, Almendo Thio Lindra, Heldy Adynata Putra Pratama

Subjects: “…Problem-Based Inquiry Method…”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…Extensive simulations demonstrate that our method significantly outperforms state-of-the-art approaches, achieving a 15.27% higher request insertion revenue rate and a 3.05% improvement in overall mission revenue rate, while maintaining a 1.17% lower modification rate and achieving faster computational speeds. …”
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Pyramid Quantum Neural Network Based Resource Allocation with IoT: A Deep Learning Method by Khushwant Singh, Mohit Yadav, Kirti, Sunil Kumar, Bobur Sobirov

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A machine learning method to monitor China's AIDS epidemics with data from Baidu trends. by Yongqing Nan, Yanyan Gao

“…This paper uses search engine data to monitor and forecast AIDS in China.<h4>Methods</h4>A machine learning method, artificial neural networks (ANNs), is used to forecast AIDS incidences and deaths. …”
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT by Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage

“…We aimed to develop a deep learning (DL) method using CT brain scans that were labelled but not annotated for the presence of ischaemic lesions.Methods We designed a convolutional neural network-based DL algorithm to detect ischaemic lesions on CT. …”
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A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning by Xiaolin Shi, Haisong Xu, Han Zhang, Yi Li, Xinshuo Li, Fan Yang

“…Aiming at the different sizes and textures of the defect types on the surface of the outer ring of the bearing, and the fact that most of the target detection algorithms relying on deep learning show low speed and low precision in the detection of defects on the surface of the bearing, this paper presents a lightweight method for detecting the defects on the surface of the bearing based on deep learning and ontological reasoning. …”
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A network intrusion detection method based on contrastive learning and Bayesian Gaussian Mixture Model by Liyou Liu, Ming Xu

“…To address these issues, we propose a method that combines contrastive learning and Bayesian Gaussian Mixture Model (BGMM). …”
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Retracted: A Novel Radio Frequency Identification Collision Resolution Method Based on Statistical Learning by Zhong Dongbo

“…In order to address the label collision problem of radio frequency identification, this paper studies the impact of statistical learning method on the resolution and decoding of collision labels, and proposes a novel clustering method using maximum posteriori probability estimation based on Monte-Carlo. …”
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A Meta-Learning-Based Recognition Method for Multidimensional Feature Extraction and Fusion of Underwater Targets by Xiaochun Liu, Yunchuan Yang, Youfeng Hu, Xiangfeng Yang, Liwen Liu, Lei Shi, Jianguo Liu

“…A pseudo-three-dimensional spatial feature extraction method is proposed by integrating generalized MUSIC with range–dimension information. …”
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Delay Constrained Hybrid Task Offloading of Internet of Vehicle: A Deep Reinforcement Learning Method by Chenhao Wu, Zhongwei Huang, Yuntao Zou

“…To perform optimal offloading decision-making, we introduce a dynamic decision-making method, namely deep Q networks (DQN). To verify the effectiveness of this approach, we choose three baseline offloading approaches (one game theory-based and two single-scenario approaches) and perform a series of simulation experiments. …”
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Fault Diagnosis Method for UHVDC Transmission Based on Deep Learning under Cloud-Edge Architecture by Shihao Zhou, Benren Pan, Dongbin Lu, Yiming Zhong, Guannan Wang

“…Aiming at the problem of fault diagnosis after the UHVDC system fails, a deep learning-based UHVDC fault diagnosis method under the cloud-edge architecture is proposed. …”
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A Mechanism-aid Deep Learning Method for Li-ion Battery State-of-charge Estimation by Zhanghua Xiao, Cheng Ji, Fangyuan Ma, Jingde Wang, Wei Sun, Chi Zhai

“…For this purpose, a mechanism-aid deep learning method is proposed, in which the loss function of the LSTM neural network is modified by the equivalent circuit model. …”
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Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall by XIAO Yu, LI Zehao, WANG Chao

“…Meanwhile, supervised learning methods cannot obtain sufficiently precise labeled matching point pairs. …”
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Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

“…In view of the above challenges, a method based on few-shot learning and chain-of-thought prompting for knowledge concept extraction was proposed, utilizing open-source large language models. …”
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A Mutual Information Constrained Multitask Learning Method for Very High-Resolution Building Segmentation by Yongchuang Wu, Yingchun Wang, Hui Yang, Peng Zhang, Yanlan Wu, Biao Wang

“…However, due to the lack of adaptive context information balancing and effective knowledge transfer mechanisms between tasks, current MTL methods often obtain incomplete and irregular delineations of buildings. …”
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The interpretable machine learning model for depression associated with heavy metals via EMR mining method by Site Xu, Mu Sun

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Machine learning based method for forecasting short-term passenger flow in urban rail stations by HU Mingwei, SHI Xiaolong, WU Wenlin, HE Guoqing

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Adversarial Reinforcement Learning-Based Converged Communication Efficiency Improvement Method for Power Distribution Network by Linyu PENG, Xu LIU, Wei TANG, Qing LIU, Hao FANG, Guanghui ZHANG

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