Research on Unsupervised Domain Adaptive Bearing Fault Diagnosis Method Based on Migration Learning Using MSACNN-IJMMD-DANN by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Qinghua Li, Xuelian Yu, Jiaming Chen

“…To address the problems of feature extraction, cost of obtaining labeled samples, and large differences in domain distribution in bearing fault diagnosis on variable operating conditions, an unsupervised domain-adaptive bearing fault diagnosis method based on migration learning using MSACNN-IJMMD-DANN (multi-scale and attention-based convolutional neural network, MSACNN, improved joint maximum mean discrepancy, IJMMD, domain adversarial neural network, DANN) is proposed. …”
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Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children by Samira Jafari, Hamid Sharini, Aliakbar Foroughi, Afshin Almasi

“…The functional connectivity (FC) for the limbic system were extracted by ROI-to-ROI method. The fMRI biomarkers (FC) were given to machine learning models as input features to diagnose anxiety in children for angry and fearful conditions. …”
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A Comparative Study of Participatory Learning Technique (Cooperation) and Monologue Method on the Motivation and Educational Achievement in the Course of Religion and Life by Zahra Kiani, Fatima Farz Ali

“…The purpose of the present research is to study the effectiveness of participatory learning techniques (cooperation) compared to monologue methods on the motivation and students’ educational achievement in the course of Religion and Life. …”
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Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves by Imane Bouacida, Brahim Farou, Lynda Djakhdjakha, Hamid Seridi, Muhammet Kurulay

“…These diseases can decimate crops, disrupt food supply chains, and escalate the risk of food shortages, underscoring the urgency of implementing robust strategies to safeguard the world’s food sources. Deep learning methods have revolutionized the field of plant disease detection, offering advanced and accurate solutions for early identification and management. …”
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A high-impedance fault location method for resonant grounded distribution networks based on transformer and few-shot learning by Bo Li, Yunyao Tan, Kai Liao, Jianwei Yang, Zhengyou He

“…This paper proposes a novel HIF location method based on Transformer and Few-Shot Learning (FSL) for the resonant grounded distribution network. …”
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Comparing active teaching to hybrid lecture-based method for learning radiology basics: A single center controlled study by Fabien de Oliveira, Jean-Paul Beregi, Hugo Potier, Thorgal Brun, Chris Serrand, Julien Frandon

“…We conducted a controlled trial to compare the effectiveness of full active learning and hybrid lecture-based teaching methods. …”
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Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method by Chao Ren, Han Yu, Yan Xu, Zhao Yang Dong

“…This letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. …”
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Retracted: Optimization of E‐commerce platform marketing method and comment recognition model based on deep learning and intelligent blockchain by Tao Cheng, Lianjiang Li

“…Abstract Retraction: [Tao Cheng, Lianjiang Li, Optimization of E‐commerce platform marketing method and comment recognition model based on deep learning and intelligent blockchain, IET Software 2023 (https://doi.org/10.1049/sfw2.12117)]. …”
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Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules by Do Weon Lee, Dae Seok Song, Hyuk-Soo Han, Du Hyun Ro

“…The aim of the study was to develop this automated knee osteoarthritis classification model. Methods A deep learning model that classifies knee osteoarthritis severity of a radiograph was developed utilizing PIMs. …”
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A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning by Yanfeng Wei, Haibin Liu, Min Wei, Mingfei Li

“…In this paper, a dry vacuum pump bearing fault diagnosis method based on finite element simulation and deep transfer learning is proposed. …”
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Adaptive Generation Method for Small Volume Easy Fabrication Freeform Unobscured Three-Mirror Systems Based on Machine Learning by Yiwei Sun, Yangjie Wei, Ji Zhao

“…This study proposes an adaptive generation method for freeform unobscured three-mirror systems with small volume and ease of fabrication based on machine learning, considering the fabrication constraints, volume limitations, imaging quality, and design efficiency. …”
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Machine Learning-Based Partition Method for Cyclic Development Mode of Submarine Soil Martials from Offshore Wind Farms by Ben He, Mingbao Lin, Zhishuai Zhang, Bo Han, Xinran Yu

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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies by Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma, Chun Pei

“…Abstract This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this method were also verified.Twenty college students were recruited to pedal a stationary bike. …”
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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer by Kang Han, Li Xu

“…After that, the data driven method is employed to update the parameters, and the superiority of GRL-ITransformer is highlighted by analyzing and comparing with the existing five classical intelligent algorithms (belongs to four categories). …”
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Research on Wind Turbine Main Shaft Bearing Fault Diagnosis Method Based on Unity 3D and Transfer Learning by Shuai Wang, Wenlei Sun, Han Liu, Shenghui Bao, Yunhao Wang, Xin Zhao

“…To address these challenges, a wind turbine spindle bearing fault diagnosis method based on Unity 3D and transfer learning is proposed. …”
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Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer Concrete by Xiaoyan Wang, Yantao Zhong, Fei Zhu, Jiandong Huang

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An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. by Yansong Liu, Shuang Wang, He Sui, Li Zhu

“…To overcome this joint issue, we propose an ensemble learning method with generative adversarial network-based sampling and consistency check (EGSCC) in this paper. …”
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A Reliable Aggregation Method Based on Threshold Additive Secret Sharing in Federated Learning with Quality of Service (QoS) Support by Yu-Ting Ting, Po-Wen Chi, Chien-Ting Kuo

“…Additionally, our proposed method ensures that any server damage or loss of gradient shares are unlikely to impact the federated learning operation, within a certain probability. …”
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An interdisciplinary complex problem as a starting point for learning: Impact of the PBL method in second-year Environmental engineering students by E. Saez de Camara, A. Lopez-Urionabarrenechea, M. N. Azpiazu, P. Ruiz de Arbulo, G. Insunza

“…Regarding students’ opinion, it should be emphasized that they perceive that this method is functional and encouraging. A high percentage of the students describe the experience as positive or very positive. …”
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Attitude and Challenges of Indian Medical Undergraduate Students in Learning Ophthalmology at Puducherry, Southern India: A Mixed-method Study by VS Naggalakshmi, Lalithambigai Chellamuthu, K Srikanth, V Jyothi

“…Materials and Methods: The present mixed-method study was conducted among 250 undergraduate medical students at a private medical college in Puducherry, South India, for three months from October to December 2024. …”
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