Discrimination of Fresh Tobacco Leaves with Different Maturity Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning by Yi Chen, Jun Bin, Congming Zou, Mengjiao Ding

“…Moreover, the CNN models with strong feature extraction and learning ability were superior to the KNN, BPNN, SVM, and ELM models. …”
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Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

“…The proposed DNN utilises a number of different methodologies, two of which are cloud motion analysis and machine learning, in order to make forecasts regarding the climatological conditions of the future. …”
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Methodological proposal for the incorporation of the clinical simulation cases to the system of teaching-learning methods in the Pediatric’s rotacional internship by Luis Alberto Corona Martínez, Mercedes Fonseca Hernández, Raúl López Férnandez, Nicolás Ramón Cruz Pérez

“…A methodological proposal is presented for the incorporation of the simulation of clinical cases (through the computer) to the system of teaching-learning’s methods in the Rotational Internship. The proposal is based in three elements: the full correspondence between the proposal; the current tendencies of the medical education; and the principal characteristics that govern the formation of general doctors in Cuba; the pedagogic value of the simulation like teaching method; and the possibilities that the computer offers as medium of teaching. …”
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What factors affect teacher professional learning: a qualitative meta-analysis based on the Onion model by Hanqiang Li

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Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos

“…Finally, we explored learning systems other than state-of-the-art ones, in order to predict these three values. …”
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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

“…The zero-shot learning method performed better, achieving an accuracy of 81.2% and an F1-score of 81.9%. …”
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How faculty with critical care specialties learn in a university hospital: a qualitative phenomenological study by Hyeyoon Jeong, Hyena Cho, Kyoung-Woo Seo, Janghoon Lee, Miran Kim, Jihye Yu

“…These themes collectively highlight that faculty members’ workplace learning involves a transition from functional professionals to reflective practitioners.Conclusions Workplace learning of faculty members with critical care specialties is understood as an ongoing, context-dependent and individualised process in which emotions play a crucial role in determining the depth and significance of learning and shaping professional identities. …”
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Retracted: Machine Learning Model-Based Applications for Food Management in Alzheimer’s Using Regression Analysis Approach by Journal of Food Quality

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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

“…This paper uses data analysis to extract knowledge from locally available measurements using RMS values of symmetrical components. The learning-based characteristic of the suggested technique with a low computational burden exempts the need for an available communication infrastructure in the MG. …”
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A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems by José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez, Beatriz Larraz

“…The greater availability of information related to housing stock has prompted to the use of so-called big data and machine learning in the estimation of property prices. Although this methodology has already been applied to the real estate market to identify which variables influence dwelling prices, its use for estimating the price of properties is not so frequent. …”
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Research on Integrated Control Strategy for Highway Merging Bottlenecks Based on Collaborative Multi-Agent Reinforcement Learning by Juan Du, Anshuang Yu, Hao Zhou, Qianli Jiang, Xueying Bai

Subjects: “…multi-agent reinforcement learning…”
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Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients by Yu Zhu, Renrui Liang, Ying Wang, Jian-Jun Yang, Ning Zhou, Cheng-Mao Zhou

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Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning by Florian Baletaud, Florian Baletaud, Florian Baletaud, Sébastien Villon, Antoine Gilbert, Jean-Marie Côme, Sylvie Fiat, Corina Iovan, Laurent Vigliola

“…To address this issue, we used a Region-based Convolutional Neural Network (Faster R-CNN), a deep learning architecture to automatically detect, identify and count deep-water snappers in BRUVS. …”
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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

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Pengembangan model pembelajaran pendidikan agama kristen dan budi pekerti dengan pendekatan blended learning by Olivia Cherly Wuwung, Jeane Marie Tulung

Subjects: “…pendekatan blended learning…”
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Comparison of Machine Learning Classification Methods for Determining the Geographical Origin of Raw Milk Using Vibrational Spectroscopy by Aimen El Orche, Amine Mamad, Omar Elhamdaoui, Amine Cheikh, Miloud El Karbane, Mustapha Bouatia

“…These findings demonstrate that FT-MIR spectroscopy, combined with machine learning methods, is an efficient and suitable approach to classify the geographical origins of raw milk.…”
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Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations by Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao

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Retracted: A Deep Learning Approach for a Source Code Detection Model Using Self-Attention by null Complexity

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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…Machine Learning: Science and Technology…”
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A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods by Yonghui Tang, Fei Wu

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