Challenges and solutions for the implementation of computer-based test learning evaluation at SMKN 2 Bandung by Azzahra Putri Imanda, Dea Apriliyani, Dewi Allyya Suci Putri Anjani

“…The research objectives are: (1) describing CBT planning as a learning evaluation, (2) explaining CBT execution to enhance students' honesty in final exams at SMKN 2 Bandung, and (3) analyzing CBT results as a learning evaluation of students' honesty. …”
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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma by Laurens S. Ter Maat, Rob A. J. De Mooij, Isabella A. J. Van Duin, Joost J. C. Verhoeff, Sjoerd G. Elias, Tim Leiner, Wouter A. C. van Amsterdam, Max F. Troenokarso, Eran R. A. N. Arntz, Franchette W. P. J. Van den Berkmortel, Marye J. Boers-Sonderen, Martijn F. Boomsma, Fons J. M. Van den Eertwegh, Jan Willem de Groot, Geke A. P. Hospers, Djura Piersma, Art Vreugdenhil, Hans M. Westgeest, Ellen Kapiteijn, Ardine A. De Wit, Willeke A. M. Blokx, Paul J. Van Diest, Pim A. De Jong, Josien P. W. Pluim, Karijn P. M. Suijkerbuijk, Mitko Veta

“…The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma. …”
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Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning by S. Prasath, Ramkumar Govindaraj, Ram Subbiah, Sulaiman Ali Alharbi, Hesham S. Almoallim, S. Priya, Begna Dejene Mulugeta

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Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations by Dimitrios-Ioannis Kasartzian, Thomas Tsiampalis

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Multimodal Deep Learning for Differentiating Bacterial and Fungal Keratitis Using Prospective Representative Data by N.V. Prajna, MD, Jad Assaf, MD, Nisha R. Acharya, MD, MS, Jennifer Rose-Nussbaumer, MD, Thomas M. Lietman, MD, J. Peter Campbell, MD, MPH, Jeremy D. Keenan, MD, MPH, Xubo Song, PhD, Travis K. Redd, MD, MPH

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Analysis of Option Butterfly Portfolio Models Based on Nonparametric Estimation Deep Learning Method by Xiangyu Ge, Xia Zhu, Gang Bi, Hao Zheng, Qing Li

“…In reality, because the distribution of the option state price density (SPD) function is not normal and unknown, so the nonparametric deep learning methods to estimate option butterfly portfolio returns are proposed. …”
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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

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Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles by Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu

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A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects by Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, Godfred Kusi Fosu

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Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning by Luozhijie Jin, Zijian Du, Le Shu, Yan Cen, Yuanfeng Xu, Yongfeng Mei, Hao Zhang

“…Abstract Accelerating the discovery of novel crystal materials by machine learning is crucial for advancing various technologies from clean energy to information processing. …”
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Learning digital medical environment as a tool of teaching computer science to medical students by Vadim V. Grinshkun, Kristina S. Itinson

“…The main advantage of the developed learning digital medical environment is its universality, as it is suitable for a doctor of any specialty, providing continuous interaction between them. …”
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Deep learning‐based unmanned aerial vehicle detection in the low altitude clutter background by Zeyang Wu, Yuexing Peng, Wenbo Wang

Subjects: “…deep learning…”
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Key technology research and model validation of text classification system based on deep learning by Shaomin WANG, Di YANG, Hua REN

Subjects: “…deep learning…”
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Solar photovoltaic panel cells defects classification using deep learning ensemble methods by H. Tella, A. Hussein, S. Rehman, B. Liu, A. Balghonaim, M. Mohandes

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Consumer opinion on the use of machine learning in healthcare settings: A qualitative systematic review by Jacqueline H Stephens, Celine Northcott, Brianna F Poirier, Trent Lewis

“…Introduction Given the increasing number of artificial intelligence and machine learning (AI/ML) tools in healthcare, we aimed to gain an understanding of consumer perspectives on the use of AI/ML tools for healthcare diagnostics. …”
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What is the learning effect of video review in postgraduate medical education: a systematic review by Marieke Robbrecht, Myriam Van Winckel, Antonius Mulder, Mieke Embo

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DEVELOPING FILMS TO SUPPORT THE TEACHING AND LEARNING OF THE COURSE “TOY MAKING SKILLS FOR PRESCHOOL CHILDREN” by Pham Thi Bich Huyen

“…The result helps lecturers and students conduct teaching and learning activities lively and engagingly. Notably, it has successfully stimulated students' interest in learning, meeting the demands of innovation in teaching and learning the Skill of Toy Making in the era of the 4th Industrial Revolution.…”
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Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems by David Gil, Magnus Johnsson, Higinio Mora, Julian Szymanski

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A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors by Lucia Palazzo, Vladimiro Suglia, Sabrina Grieco, Domenico Buongiorno, Antonio Brunetti, Leonarda Carnimeo, Federica Amitrano, Armando Coccia, Gaetano Pagano, Giovanni D’Addio, Vitoantonio Bevilacqua

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Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends by Nafiseh Ghasemi, Jon Alvarez Justo, Marco Celesti, Laurent Despoisse, Jens Nieke

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