Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method by Yuhan Jia, Jianping Wu, Ming Xu

“…The rainfall-integrated DBN and LSTM can learn the features of traffic flow under various rainfall scenarios. …”
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Machine Learning Applications in Manufacturing—Challenges, Trends, and Future Directions by Alexandre Manta-Costa, Sara Oleiro Araujo, Ricardo Silva Peres, Jose Barata

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Machine Learning Applications in Energy Harvesting Internet of Things Networks: A Review by Olumide Alamu, Thomas O. Olwal, Emmanuel M. Migabo

Subjects: “…Deep learning…”
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Cyclic Learning Rate-Based Co-Training for Image Classification With Noisy Labels by Ying Zheng, Yu Gu, Pingping Bai, Dong Yuan, Siqi Zhou, Xin Lyu, Ang Chen

Subjects: “…Deep learning…”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

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Improving students’ achievements on application letter material through differentiated instruction learning by Apriceli Apriceli

“…Differentiated instruction is a series of learning activities that provide opportunities for students to explore their potential, adapting their interests and learning profiles. …”
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“Obuchenie Sluzheniem” or “Service Learning”? A Discussion on the Conceptual Foundations of the Pedagogical Approach by V. S. Nikolskiy

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On the assessment and reliability of political and ideological education in colleges using deep learning methods by Yongsheng Ma, Xianhui Sun, Aiqun Ma

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A survey on deep learning for polyp segmentation: techniques, challenges and future trends by Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu

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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector Machine, Artificial Neural Networks, and SubSpace KNN, are comparatively studied. …”
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Accelerated learning: penggunaan tipe master dalam pembelajaran teori musik dasar by Zakarias Aria Widyatama Putra, Jagad Aditya Dewantara

Subjects: “…accelerated learning, master, music learning, elementary music theory, output learner…”
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Effectiveness of Motivational Intervention Based on Mind Set on Academic Procrastination and Learned Helplessness by maryam sanami, ali taghvaeinya, fariborz nikdel

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Problem-Based Learning in Pharmaceutical Education: A Systematic Review and Meta-Analysis by Tais F. Galvao, Marcus T. Silva, Celiane S. Neiva, Laura M. Ribeiro, Mauricio G. Pereira

“…To assess the effects of problem-based learning (PBL) on the learning achievements of pharmacy students. …”
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USING TECHNOLOGY ACCEPTANCE MODEL TO ANALYSE THE SUCCESSFUL CROWDFUNDING LEARNING GAME CAMPAIGNS by Hong Huang, Han Yu, Wanwan Li, Jinxuan Ma

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Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning by Filipi França dos Santos, Kelly Cristine Da Silveira, Gesiane Mendonça Ferreira, Daniella Herdi Cariello, Mônica Calixto de Andrade

“…By deploying machine learning algorithms, this work paves the way for targeted optimizations and considerable strides in the manufacturing of perovskite-based photovoltaic cells. …”
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MAXIMIZING THE USE OF WHATSAPP IN ENGLISH REMOTE LEARNING TO PROMOTE STUDENTS’ ENGAGEMENT AT MADURA by Eva Nikmatul Rabbianty, abd Ghofur, Abdul Wafi

Subjects: “…English Remote Learning…”
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Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei by Ying Zhou, Ying Zhou, Lingyun Liu, Shan Xu, Yongquan Ye, Ruiting Zhang, Minming Zhang, Jianzhong Sun, Peiyu Huang

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Parent's Engagement in the Learning Needs of Learners with Down Syndrome in the New Normal Education by Jeny Hinggo, Janus Naparan, Genesis Naparan

“…This study probed parental engagement in the learning needs of the learners with Down syndrome (DS) in their homes in Zamboanga Sibugay, Philippines, during this new normal education. …”
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‘Ulamā’ and the Formation of Islamic Knowledge: Learning from Two Historical Experiences in Sumatra by Jajat Burhanudin

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A Sentinel-2 machine learning dataset for tree species classification in Germany by M. Freudenberg, M. Freudenberg, S. Schnell, P. Magdon

“…<p>We present a machine learning dataset for tree species classification in Sentinel-2 satellite image time series of bottom-of-atmosphere reflectance. …”
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