A Deep Learning Anomaly Detection Framework for Satellite Telemetry with Fake Anomalies by Yakun Wang, Jianglei Gong, Jie Zhang, Xiaodong Han

“…Then, we use the Long Short-Term Memory (LSTM), a deep learning method, to model the multivariable time-series data, and a Gaussian model to detect anomalies. …”
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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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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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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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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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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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Assessment and Classification of Service Learning: A Case Study of CS/EE Students by Han-Ying Kao, Yu-Tseng Wang, Chia-Hui Huang, Pao-Lien Lai, Jen-Yeu Chen

“…This study investigates the undergraduate students in computer science/electric engineering (CS/EE) in Taiwan to measure their perceived benefits from the experiences in service learning coursework. In addition, the confidence of their professional disciplines and its correlation with service learning experiences are examined. …”
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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

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In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability by Azhar Ali Khaked, Nobuyuki Oishi, Daniel Roggen, Paula Lago

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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications by Shohreh Abdollahi, Ramin Safa

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Cross-Linguistic Influences of Learning German in Finnish and German Upper Secondary Schools by Esa M. Penttinen, Heiner Böttger

“…The aim of this study is to find out what importance upper secondary school learners of German attach to the cross-linguistic influence (CLI) regarding specific aspects of German language learning in Finland and Germany. Cross-linguistic learning gives learners additional skills to learn and understand structures and words in their mother tongue, a second language or a foreign language. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Retracted: Deep-Learning-Guided Point Cloud Modeling with Applications in Intelligent Manufacturing by Applied Bionics and Biomechanics

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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

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An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

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Improving Programming Skills: The Impact of Interactive E-Learning Tools on Student Success by Mohammed Alghamdi

“…By identifying key factors that influence e-learning adoption, this study offers valuable insights for optimizing digital learning environments. …”
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