A joint learning method for low-light facial expression recognition by Yuanlun Xie, Jie Ou, Bihan Wen, Zitong Yu, Wenhong Tian

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Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…Intelligent phone sensors are a great alternative because of their dependability and availability. …”
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Double layer federated security learning architecture for artificial intelligence of things by ZHENG Chengbo, YAN Haonan, FU Caili, ZHANG Dong, LI Hui, WANG Bin

“…Federated learning, as a distributed machine learning architecture, can complete model co-training while protecting data privacy, and is widely used in Artificial Intelligence of Things. …”
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The potential for productive use of the digital service LearningApps in teaching foreign languages by Natalia A. Katalkina, Nadezhda V. Bogdanova

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The Use of Semantic Translation Strategy in English Learning from the EFL Learners’ Perspective by Aswan Jasim

“… The learners’ attitudes have a great affect on their consciousness and ability to learn. …”
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Contribution of cooperative learning strategies to the improvement of the quality of students' native language knowledge by Semiz Marina Ž., Antonijević Radovan M., Čutović Mirjana M.

“…A successful application of cooperative learning in mother tongue teaching, from the point of view of improving the quality of students' knowledge, requires great didactic and methodical expertise of teachers in group forming, cooperative task structuring, basic principles of cooperative learning, etc. …”
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Learners' Perception of English Language Learning in Universal Secondary Schools in Kisoro District. by Ndagijimana, Ngenda

“…From the findings, it was established that they had not got any great wish to learn more than the basics of English. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…In recent years, machine learning techniques have shown great promise in aiding the diagnosis and prediction of heart attacks. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…Traditional supervised FDD methods offer great performance while heavily relying on large volumes of labeled data, whereas unsupervised methods do not depend on labeled data, though are inferior in performance compared to supervised ones. …”
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…Our objective was to evaluate the sensitivity, specificity, and accuracy of a machine learning (ML) algorithm using publicly available data to predict medical device recalls by the FDA. …”
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Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning. by Kai Hu, Yang Ling, Jie Liu

“…This study introduces a novel deep learning-based anomaly model for effective crack detection. …”
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Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation by Chang-Jiang Zhang, Mei-Shu Chen, Lei-Ming Ma, Xiao-Qin Lu

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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

“…This paper presents an efficient deep learning method specifically developed to enhance the accuracy of CRPs classification, thereby assisting physicians in making informed decisions. …”
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THE ANALYSIS OF INFORMATION TECHNOLOGIES USAGE FOR ACADEMIC PURPOSES IN ENGLISH LANGUAGE TEACHING AND LEARNING AT UNIVERSITAS BANGKA BELITUNG by Herland Franley Manalu

“…The harness of computers, internet, e-mail, multi-media and other IT tools is indispensable and has a great influence on the process of language teaching and learning in an effort to improve the quality of education and to produce best human resources that not only having good competence in foreign language but also possessing great capabilities in the use of Information Technology to face the Industrial Revolution 4.0 era. …”
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RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm by Longjun Guo, Juan Wang, Jiaqi Teng, Yukun Chen

“…As the development of deep learning DL-based bone age prediction methods have achieved great success. …”
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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

“…Abstract Machine learning offers great promise for fast and accurate binding affinity predictions. …”
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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

“…Deep learning methods have recently made substantial advances in polarimetric synthetic aperture radar (PolSAR) image classification. …”
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Enhancing Rehabilitation Assessment with Artificial Intelligence: A Comprehensive Investigation of Posture Quality Prediction Using Machine Learning by Zhang Wenxi

“…Techniques such as Explainable Artificial Intelligence (XAI), transfer learning, and privacy-preserving machine learning can be a way to unlock the limitations of adopting AI techniques in a wider range of rehabilitation settings. …”
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

“…At present, the graph neural network method based on the random walk algorithm has achieved great results in identifying drug-gene interaction relationships. …”
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