A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

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COLLABORATIVE ONLINE INTERNATIONAL LEARNING: SUGGESTIONS FOR UKRAINIAN MEDICAL EDUCATION AND INTERDISCIPLINARY COOPERATION by Yu.V. Lysanets, J. Ward, C. Zhang, T. Downing, O.M. Bieliaieva

Subjects: “…collaborative online international learning…”
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Mathematical Validation of Proposed Machine Learning Classifier for Heterogeneous Traffic and Anomaly Detection by Azidine Guezzaz, Younes Asimi, Mourade Azrour, Ahmed Asimi

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On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning by Joan Giner-Miguelez, Abel Gómez, Jordi Cabot

“…Abstract To ensure the fairness and trustworthiness of machine learning (ML) systems, recent legislative initiatives and relevant research in the ML community have pointed out the need to document the data used to train ML models. …”
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Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning by Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer

“…The project aims to use NIR sensors and machine learning algorithms to estimate the acetic acid concentration in a biogas substrate based on the measured intensities of the substrate. …”
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Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

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Implementing essential diagnostics-learning from essential medicines: A scoping review. by Moriasi Nyanchoka, Mercy Mulaku, Bruce Nyagol, Eddy Johnson Owino, Simon Kariuki, Eleanor Ochodo

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Conceptual images and learning obstacles in exponentiation and logarithms: A hermeneutic phenomenological analysis by Yuvita Andriani Kusumadewi, Riki Andriatna

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A CME Automatic Detection Method Based on Adaptive Background Learning Technology by Zhenping Qiang, Xianyong Bai, Qinghui Zhang, Hong Lin

“…In this paper, we describe a technique, which uses an adaptive background learning method to detect the CME (coronal mass ejections) automatically from SOHO/LASCO C2 image sequences. …”
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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

Subjects: “…multi-modal learning…”
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Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals by Hongmei Liu, Lianfeng Li, Jian Ma

“…The main challenge of fault diagnosis lies in finding good fault features. A deep learning network has the ability to automatically learn good characteristics from input data in an unsupervised fashion, and its unique layer-wise pretraining and fine-tuning using the backpropagation strategy can solve the difficulties of training deep multilayer networks. …”
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Self-Regulated Learning Strategies Among Graduate Students and Their Relationship with Statistics Anxiety by Nasser H. Youssef, Essa A. Alibraheim

Subjects: “…self-regulated learning strategies…”
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Challenges and Prospects of Deploying AI and Machine Learning for Clinical Diagnosis in African Healthcare by Edmund Terem Ugar

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The influence of the scaffolding approach on critical thinking skills and student collaboration on mathematics learning by Retno Ayu Trisnawati, Ali Mahmudi

“…To overcome the low critical thinking skills and encourage collaboration skills, innovative learning is needed by applying a scaffolding approach when mathematics learning takes place. …”
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Improved cattle farm classification: leveraging machine learning and linked national datasets by Guy-Alain Schnidrig, Guy-Alain Schnidrig, Rahel Struchen, Sara Schärrer, Dagmar Heim, Daniela Hadorn, Gertraud Schüpbach-Regula, Giulia Paternoster

Subjects: “…machine learning…”
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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

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Investigation of Nonlinear Vibrational Analysis of Circular Sector Oscillator by Using Cascade Learning by Naveed Ahmad Khan, Muhammad Sulaiman, Jamel Seidu, Fahad Sameer Alshammari

“…A data set for the supervised learning of the CNN-BLM algorithm for different angles α and radius R are generated by Runge–Kutta (RK-4) method. …”
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Firms’ digital capabilities and green collaborative innovation: The role of green relationship learning by Xuemei Xie, Mengge Wang

“…Based on the survey data of Chinese high-tech manufacturing firms, we found that (a) four dimensions of firms’ digital capabilities have positive impacts on green product and green process collaborative innovation; (b) green relationship learning mediates the relationships among four dimensions of digital capabilities and two types of green collaborative innovation; and (c) green organizational identity positively moderates the relationships among digital infrastructure capability, digital perception capability, and digital collaboration capability and two types of green collaborative innovation; a collaborative innovation atmosphere positively moderates the relationship between green relationship learning and two types of green collaborative innovation. …”
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Comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning” by Ivan A. Bratchenko, Lyudmila A. Bratchenko

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Marigold: a machine learning-based web app for zebrafish pose tracking by Gregory Teicher, R. Madison Riffe, Wayne Barnaby, Gabrielle Martin, Benjamin E. Clayton, Josef G. Trapani, Gerald B. Downes

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