Fake Detect: A Deep Learning Ensemble Model for Fake News Detection by Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil

“…Due to the nature of the dataset attributes, two deep learning models were used. For the textual attribute “statement,” Bi-LSTM-GRU-dense deep learning model was used, while for the remaining attributes, dense deep learning model was used. …”
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Communication strategies in the online teaching learning process during pandemic Covid-19 by Isnawijayani Isnawijayani, Rahma Santhi Zinaida, Genoveva Refina Virgi Handianita, Tri Widayatsih, Siti Rahayu, Dwi Muhammad Taqwa

“…Communication in education sector carried out by teachers and student, The main requirements are creation and communication of an effective learning and communicators in delivering learning material. …”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…On the basis of traditional credit risk control, this paper proposes the demand and direction of a new credit risk control strategy based on machine learning and relying on big data. First, on the basis of introducing the basic algorithmic principles of machine learning, we give reasons for choosing machine learning models and build a machine learning-based Internet consumer finance credit risk control strategy model to provide theoretical support for the empirical analysis later. …”
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Machine Learning Approaches to Natural Fiber Composites: A Review of Methodologies and Applications by Sivasubramanian Palanisamy, Nadir Ayrilmis, Kumar Sureshkumar, Carlo Santulli, Tabrej Khan, Harri Junaedi, Tamer Ali Sebaey

Subjects: “…machine learning…”
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Associative Portrait of a Russian Student in the Context of the Emergency Transition to Distance Learning by L. I. Baturina, A. Yu. Simakov

Subjects: “…distance learning…”
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A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis by Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy

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Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy by Xueying Li, Pingping Fan, Zongmin Li, Guangyuan Chen, Huimin Qiu, Guangli Hou

“…The aim of this study is to analyze the feasibility of land cover classification with small samples by convolutional neural network and, according to the deep learning algorithm, to explore new methods for rapid, nondestructive, and accurate classification of the land cover.…”
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An Empirical Study on the Behavioral Intention of College Students’ Online Ideological and Political Learning by Miaomiao Ren, Yan Ma, Wenxiang Fan, Mingyong Li, Yuming Feng

“…Based on the integration of the technology acceptance model and the information system success model, this study constructs the structural equation model of college students’ online ideological and political learning behavioral intention; then, a questionnaire survey is conducted among college students from 7 colleges of Chongqing and Hangzhou. …”
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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Phosphorus by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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A Study on Elements of Machine Vision and Machine Learning in Industrial Vision Systems by Jarosław PANASIUK (jaroslaw.panasiuk@wat.edu.pl), Adrianna ADAMUS (adrianna.adamus@student.wat.edu.pl)

“…The article presents an analysis of issues regarding the current state and prospects of using machine learning elements in industrial applications of vision systems. …”
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PEDAGOGICAL CONDITIONS FOR THE FORMATION OF AN EFFECTIVE INFORMATION AND LEARNING ENVIRONMENT IN HIGHER EDUCATION INSTITUTIONS by Valerii Yu.  Habrusiev, Hryhorii V. Tereshchuk, Alla V. Stepanyuk, Tetiana M. Olendr

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Dental Students’ Learning Experience: Artificial Intelligence vs Human Feedback on Assignments by Chantha K. Jayawardena, Yuvika Gunathilake, Dhammika Ihalagedara

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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Development of a Neuroevolution Machine Learning Potential of Al-Cu-Li Alloys by Fei Chen, Han Wang, Yanan Jiang, Lihua Zhan, Youliang Yang

Subjects: “…neuroevolution machine learning potential…”
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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

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Utilizing Age-Adaptive Deep Learning Approaches for Detecting Inappropriate Video Content by Iftikhar Alam, Abdul Basit, Riaz Ahmad Ziar

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Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data by Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska

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The impact of incidental learning on the acquisition of the sound /p/ by Arabic-speaking EFL learners by Altakhaineh Abdel Rahman Mitib, Alsaraireh Mohammad Yousef, Alhendi Hiba

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Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning by Chunlin Qin, Shenglu Huo

“…In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. …”
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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review by M. A. D. Buser, J. K. van derRest, M. H. W. A. Wijnen, R. R. deKrijger, A. F. W. van derSteeg, M. M. van denHeuvel‐Eibrink, M. Reismann, S. Veldhoen, L. Pio, M. Markel

“…This indicates a need for advanced image processing technology such as Deep Learning (DL). Aim Our review focused on the use of DL in multidisciplinary imaging in pediatric surgical oncology. …”
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