Safety-Critical Trajectory Tracking Control with Safety-Enhanced Reinforcement Learning for Autonomous Underwater Vehicle by Tianli Li, Jiaming Tao, Yu Hu, Shiyu Chen, Yue Wei, Bo Zhang

“…This paper investigates a novel reinforcement learning (RL)-based quadratic programming (QP) method for the safety-critical trajectory tracking control of autonomous underwater vehicles (AUVs). …”
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Students’ perspective on new teaching concepts for medical studies: case- and competency-based learning in radiology by Max Masthoff, Friedrich Pawelka, Gisela Zak, Bas de Leng, Dogus Darici, Philipp Schindler, Walter Heindel, Anne Helfen

Subjects: “…Case-based learning…”
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Development of learning video comparison using Palembang jumputan context to determine students' mathematical reasoning by Siti Nabila, Ratu Ilma Indra Putri, Zulkardi Zulkardi

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4-H Wildlife Habitat Evaluation Program (WHEP): Learn about wildlife ecology and management by Sarah Webb Miller, Mark E. Hostetler

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SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

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Comparative Analysis of Deep Learning Algorithm for Cancer Classification using Multi-omics Feature Selection by Nur Sabrina Azmi, Azurah A Samah, Vivekaanan Sirgunan, Zuraini Ali Shah, Hairudin Abdul Majid, Chan Weng Howe, Nies Hui Wen, Nuraina Syaza Azman

“…The recent development of advanced computational algorithms, especially deep learning, had sparked numerous efforts in applying these algorithms in multi-omics studies. …”
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Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time-Frequency Analysis by Ahmed K. Ali, Wathiq Rafa Abed

“…We tested the proposed HTFICNN with data from BLDC motors and found that it works better than other deep learning models to detect bearing faults. Moreover, this work contributes to the advancement of fault diagnosis and predictive maintenance for BLDC motors, with potential applications in other fault detection scenarios.…”
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Emotional Interaction and Behavioral Decision-Making Mechanism in Network Science Education Based on Deep Learning by Pengjiao Li, Qian Meng

“…From deep statistical learning algorithms to completing network science education, designing or modifying more comprehensive and faster bpq-l learning algorithms based on traditional learning algorithms can allow us to find target sentiments.…”
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Methodological proposal with an interdisciplinary approach for teaching learning content theory of the pharmacological receptor in the medical career by Yeny Dueñas Pérez, Ana María Ramos Cedeño, Belkis Barrios Romero, Alicia del Rosario Ramírez Pérez, Yacelis Dahilet Cisneros Nápoles, Mirtha Amarilis Hernández López

“…<br /><strong>Objective:</strong> to design a methodological proposal with an interdisciplinary approach for the teaching-learning of the content theory of the pharmacological receptor in the Medicine career.…”
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The concept of teachers’ learning in the field of early education. From the Freinet pedagogy to the training of academic teachers by Zdzisław Aleksander

“…The author also claims that academic teachers find that Freinet pedagogy is not only interesting intellectually, but that they are able to transform Freinet ideas into the practices of students’ learning. …”
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Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors by Giacomo Peruzzi, Alessandra Galli, Giada Giorgi, Alessandro Pozzebon

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Their City: Feminist Urban Experiences as a Process of Learning and Co-Creation in Viña del Mar by Maria Soledad Larrain Salinas

“…Divided into three stages, it highlights the importance of studying and applying feminist theories, co-creating knowledge as a learning methodology, and exploring the street as a teaching space, emphasizing the need to break away from androcentric viewpoints to highlight the everyday experiences of women and diverse communities within urban contexts. …”
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Learning from “Knocks in Life”: Food Insecurity among Low-Income Lone Senior Women by Rebecca J. Green-LaPierre, Patricia L. Williams, N. Theresa Glanville, Deborah Norris, Heather C. Hunter, Cynthia G. Watt

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Consensus Tracking of Fractional-Order Multiagent Systems via Fractional-Order Iterative Learning Control by Shuaishuai Lv, Mian Pan, Xungen Li, Qi Ma, Tianyi Lan, Bingqiang Li, Wenyu Cai

“…Both distributed PDα-type and Dα-type fractional-order iterative learning control (FOILC) algorithms are proposed. Here, a virtual leader is introduced to generate the desired trajectory, fixed communication topology is considered, and only a subset of followers can access the desired trajectory. …”
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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

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Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data by Avaz Naghipour, Mohammad Reza Abbaszadeh Bavil Soflaei, mostafa ghader-zefrehei

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Lung cancer Prediction and Classification based on Correlation Selection method Using Machine Learning Techniques by Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez, Amira Bibo Sallow

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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

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Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets by Hsin-Chang Tsai, Ming-Chun Lee, Chao-Hao Hsu

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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

Subjects: “…Machine learning…”
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