Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

“…To enhance predictive accuracy, advanced machine learning models, including Random Forest, Gradient Boosting, Multi-Layer Perceptron, and Categorical Boosting, were applied. …”
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A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

“…Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists in diagnosing and treating dental conditions. Additionally, deep learning for tooth segmentation can focus on relevant treatment information and localize lesions. …”
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The Role of Organizational Learning in Mediating the Relationship between Business Model Design and Innovation Performance by Jia Zhang, Hui Xu, Xiangxia Xiao

“…Furthermore, this paper shows that organizational learning is based on variables that mediate the relationship between training and performance and improve performance through its positive effect on organizational learning. …”
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Exploring SME owners’ motivation to learn and acquire new skills for the adoption of e-commerce by Naledi D.D. Gallant, Anthea P. Amadi-Echendu, Elriza Esterhuyzen

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A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation by Reem Tluli, Ahmed Badawy, Saeed Salem, Mahmoud Barhamgi, Amr Mohamed

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Role of Machine Learning and Data Mining in Internet Security: Standing State with Future Directions by Bilal Ahmad, Wang Jian, Zain Anwar Ali

“…This study highlights the developing research about the application of machine learning and data mining in Internet security. We provide background, enthusiasm, discussion of challenges, and recommendations for the application of ML/DM in the field of intrusion detection.…”
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Machine Learning with Variable Sampling Rate for Traffic Prediction in 6G MEC IoT by Rongqun Peng, Xiuhua Fu, Tian Ding

“…We investigate in detail the impact of variable sampling rate on traffic prediction and propose a high-speed traffic prediction method using machine learning and recurrent neural networks. We first investigate a VSR-NLMS adaptive prediction method to perform time series prediction dataset transformation. …”
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The effect of learning planning skills and teaching material development skill on teacher teaching skills by Emidar Emidar, Vivi Indriyani

Subjects: “…learning planning…”
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Teacher support and secondary school students’ learning engagement: A moderated mediation model by Yanhong Shao, Yongna Feng, Xi Zhao, Gang Liu, Lili Zhang

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Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics by Krutika Patidar, Nikhil Pillai, Saroj Dhakal, Lindsay B. Avery, Panteleimon D. Mavroudis

“…In the present work, we propose a machine learning-based target pharmacology assessment framework that utilizes minimal physiologically based pharmacokinetic (mPBPK) modeling and machine learning (ML) to infer optimal physicochemical properties of antibodies and their targets. …”
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What Might I Like My Kids to Learn about Life?: In Search of “Tradition” by Anthony McCann

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IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning by Susanto, Deris Stiawan, Budi Santoso, Alex Onesimus Sidabutar, M. Agus Syamsul Arifin, Mohd Yazid Idris, Rahmat Budiarto

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Environmental harshness does not affect the propensity for social learning in great tits, Parus major by Emil Isaksson, Julie Morand-Ferron, Alexis Chaine

“…We showed that individuals use social learning to find food in both colour-associative and spatial foraging tasks and that individuals differed consistently in their use of social learning. …”
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Combining machine learning and single-cell sequencing to identify key immune genes in sepsis by Hao Wang, Linghan Len, Li Hu, Yingchun Hu

“…Subsequently, diagnostic models were constructed using four machine learning algorithms (Logistic regression, AdaBoost, KNN, and XGBoost) based on the identified key genes. …”
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Students’ Perception of Using Task-Based Learning in Teaching English for Business at Politeknik Madyathika by Artika Wina Fitriani, Rofik Priyanto, Actinis Muqsitha Paradista

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Lessons learned from the upscaling of an iron bio-oxidation process to improve uranium recovery by Hubau, Agathe, Bru, Kathy, Idrissa Oumarou, Safiatou, Leycuras, Cécile

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Recent Advancements in Deep Learning Frameworks for Precision Fish Farming Opportunities, Challenges, and Applications by Gaganpreet Kaur, Nirmal Adhikari, Singamaneni Krishnapriya, Surindar Gopalrao Wawale, R. Q. Malik, Abu Sarwar Zamani, Julian Perez-Falcon, Jonathan Osei-Owusu

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Machine Learning-Assisted Drug Repurposing Framework for Discovery of Aurora Kinase B Inhibitors by George Nicolae Daniel Ion, George Mihai Nitulescu, Dragos Paul Mihai

“…<b>Results:</b> The machine learning models trained for drug repurposing showed satisfying performance and yielded the identification of saredutant, montelukast, and canertinib as potential AurB inhibitors. …”
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