Reinforcement Learning-Based Sequential Control Policy for Multiple Peg-in-Hole Assembly by Xinyu Liu, Chao Zeng, Chenguang Yang, Jianwei Zhang

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What Is a Healthy Forest? A Supplement to Florida Project Learning Tree by Sarah L. Hicks, Martha C. Monroe, Geetha S. Iyer, Jason A. Smith

“…A Supplement to Florida Project Learning Tree (ufl.edu) …”
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Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model by Yu Wang, Erxia Du, Sanqiang Yang, Li Yu

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Development and Validation of a Questionnaire to Assess Students’ Perception of Hyflex Learning Modality by Edrian Peter Villanueva, Jayson Caalim

Subjects: “…hyflex learning…”
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The effect of reward and voluntary choice on the motor learning of serial reaction time task by Yanghui Quan, Jiayue Wang, Yandong Wang, Guanlan Kang, Guanlan Kang

Subjects: “…motor learning…”
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Research on Q-learning based rate control approach for HTTP adaptive streaming by Li-rong XIONG, Jing-zhi LEI, Xin JIN

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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

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A Fault Diagnosis Approach of Gear System based on Deep Learning Theory by Wenbo Xu, Yafeng Ren, Bing Han

“…Through the integration of the three depth learning models， the comprehensive evaluation model of gear system fault diagnosis based on depth learning is further constructed. …”
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Inclusive learning environments in medicine: a protocol on scoping what we know by Kenza Achtoutal, Linda Bergeron, Christina St-Onge, Tim Dubé, Isabelle Boulais

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Near-Peer Coaching to Enhance Operative Learning: An Educational Innovation for Surgical Training by Alexander J. Papachristos, MSurgicalEd, Elizabeth Molloy, PhD, Juanita N. Chui, MD, Monica Ghidinelli, PhD, Simon Kitto, PhD, Debra Nestel, PhD, Benjamin P. T. Loveday, PhD

“…To design, implement, and evaluate a near-peer coaching model to enhance operative learning in general surgery training. Background:. …”
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Underwater Sonar Image Classification with Image Disentanglement Reconstruction and Zero-Shot Learning by Ye Peng, Houpu Li, Wenwen Zhang, Junhui Zhu, Lei Liu, Guojun Zhai

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Machine learning framework for sustainable traffic management and safety in AlKharj city by Ali Louati

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Transfer Learning for CNN-Based Damage Detection in Civil Structures with Insufficient Data by Mona Chamangard, Gholamreza Ghodrati Amiri, Ehsan Darvishan, Zahra Rastin

“…Among various methods proposed for health monitoring of structures, deep learning-based techniques with their powerful performance have attracted considerable attention in recent years. …”
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Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit by Mohammed G. Albayati, Jalal Faraj, Amy Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran

Subjects: “…semi-supervised machine learning…”
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Quantum computational infusion in extreme learning machines for early multi-cancer detection by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Haixia Long

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The Multi-Frequency Decomposition Entropy Learning for Nonlinear fMRI Data Analysis by Di Han, Yuhu Shi, Lei Wang, Yueyang Li, Weiming Zeng

“…To address the above issues, we propose a new method named multi-frequency decomposition entropy (MDE) learning for inferring nonlinear functional connectivity between brain regions. …”
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Blending-Based Ensemble Learning Low-Voltage Station Area Theft Detection by Dunchu Chen, Wenwu Li, Jie Fang

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Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG) by Qaswaa Khaled Abood

“…Therefore, the basic idea in this research was to shed light on the diagnosis of heart diseases by relying on deep learning of a pre-trained model (Efficient b3) under the premise of using the electrical signals of the electrocardiogram and resample the signal in order to introduce it to the neural network with only trimming processing operations because it is an electrical signal whose parameters cannot be changed. …”
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Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

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Character Building Through Differentiated Learning of Islamic Religious Education in the Digital Era by Al Ihwanah, Abdullah Idi, Karoma Karoma, Ni'mah Afifah, Diana

Subjects: “…differentiated learning; character development; digital era…”
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