Basin dependencies of tropical cyclone genesis environment and possible future changes revealed by machine learning methods by QiFeng Qian, YeFeng Chen, XiaoJing Jia, Hao Ma, Wei Dong

“…Ocean basins are categorized into three groups based on PCA, and three MaxEnt machine learning (ML) models are developed to predict TC genesis under future scenarios. …”
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Learning while Traveling: Influences of Short-term Cross-cultural Immersion Experiences to High School Students by Bernadette Bugtong

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SARS and MERS as learning tools for addressing the 2019-nCoV epidemic: A mini-review by Udit DAVE, Ashwin PALANIAPPAN

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Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer by Shengli SHAO, Jiheng WANG, Shanting LIU

Subjects: “…deep learning…”
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Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning by Hao Xu, Wenchao Wu, Yuntian Chen, Dongxiao Zhang, Fanyang Mo

“…This study explicitly elucidates how chemists use thin-layer chromatography (TLC) to determine column chromatography (CC) conditions, employing statistical analysis and machine learning techniques. An experimental dataset of the CC is generated from the automatic platform developed in this study. …”
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Dimensions of superiority: How deep reinforcement learning excels in urban drainage system real-time control by Zhenyu Huang, Yiming Wang, Xin Dong

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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia. …”
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Optimizing Project-Based Learning in Developing 21st Century Skills: A Future Education Perspective by Adam Mudinillah, Dedi Kuswandi, Erwin Erwin, Sugiarni Sugiarni, Winarno Winarno, Annajmi Annajmi, Sam Hermansah

“… Many studies show that the effectiveness of project-based learning in the perspective of future education is influenced by 21st century skills. …”
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Effect of project-based learning models and achievement motivation on students' short story text writing skills by Sri Rahayu, Afnita Afnita

Subjects: “…project-based learning, achievement motivation, learning outcomes, write short story texts…”
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Comparing Health Care Financing in Indonesia and Thailand from 1995-2010: What Lessons Could Be Learned? by Darius Erlangga, Lizheng Shi

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Using Peer-Learning and Game-Based Instruction for Achieving Long-Lasting Knowledge of Cybersecurity in Primary Schools by Maja Videnovik, Vladimir Trajkovik, Tone Vold, Linda Vibeke Kionig, Ana Madevska Bogdanova, Sonja Filiposka

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An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine by Derya Avci, Akif Dogantekin

“…This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by the ELM learning method. …”
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Retracted: Research on the Construction of Intelligent Media Ideological and Political Learning Platform Based on Artificial Intelligence Technology by Journal of Mathematics

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Opioid Nonadherence Risk Prediction of Patients with Cancer-Related Pain Based on Five Machine Learning Algorithms by Jinmei Liu, Juan Luo, Xu Chen, Jiyi Xie, Cong Wang, Hanxiang Wang, Qi Yuan, Shijun Li, Yu Zhang, Jianli Hu, Chen Shi

“…We aimed to develop and validate a machine learning (ML) model and evaluate its feasibility to predict opioid nonadherence in patients with cancer pain. …”
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Automatic Generation of Precast Concrete Component Fabrication Drawings Based on BIM and Multi-Agent Reinforcement Learning by Chao Zhang, Xuhong Zhou, Chengran Xu, Zhou Wu, Jiepeng Liu, Hongtuo Qi

Subjects: “…multi-agent reinforcement learning (MARL)…”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

Subjects: “…discriminative feature learning…”
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Automatic Quantitative Analysis of Internal Quantum Efficiency Measurements of GaAs Solar Cells Using Deep Learning by Zubair Abdullah‐Vetter, Brendan Wright, Tien‐Chun Wu, Ali Shakiba, Ziv Hameiri

“…Therefore, this study proposes using a deep learning method to automatically predict multiple key parameters from IQE measurements of gallium arsenide cells. …”
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Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning by Chao Yang, Jian-Ke Zhang, Li-Xin Guo

“…This paper presents an improved ABC algorithm named as OGABC based on opposition-based learning (OBL) and global best search equation to overcome the shortcomings of the slow convergence rate and sinking into local optima in the process of inversion of atmospheric duct. …”
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Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

Subjects: “…credit scoring, smote, oversampling, undersampling, class imbalance, machine learning algorithms…”
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Improving Indonesian students' mathematical literacy with brain-based learning: a comparative study of pisa scores by Thesa Kandaga, Elang Krisnadi, Suci Nurhayati, Valeria Yekti Kwasaning Gusti

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