The investigation of possibilities to use open source virtual learning environments in general schools by Eglė Jasutienė, Lina Markauskaitė

Subjects: “…virtual learning environment…”
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A Deep-Learning Prediction Model for Imbalanced Time Series Data Forecasting by Chenyu Hou, Jiawei Wu, Bin Cao, Jing Fan

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Identifying the Origin of Cyber Attacks Using Machine Learning and Network Traffic Analysis by Du Tianqing

“…This paper introduces an effective method of internet protection—machine learning. A common technique in the modern world, machine learning offers significant insights into locating the IP address and data origin. …”
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The roles of a peer-led collaborative learning approach in Ethiopian secondary schools by Feyisa Mulisa, Simeret Kassahun Mekonnen

Subjects: “…Roles, Peer-led, Collaborative, Learning, Secondary school…”
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A hybrid model for smart grid theft detection based on deep learning by Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG

“…A hybrid deep learning model was proposed to effectively detect electricity theft in smart grids.The hybrid model employed a deep learning convolutional neural network (AlexNet) to tackle the curse of dimensionality, significantly enhancing data processing accuracy and efficiency.It further improved classification accuracy by differentiating between normal and abnormal electricity usage using adaptive boosting (AdaBoost).To resolve the issue of class imbalance, undersampling techniques were utilized, ensuring balanced performance across various data classes.Additionally, the artificial bee colony algorithm was used to optimize hyperparameters for both AdaBoost and AlexNet, effectively boosting overall model performance.The effectiveness of this hybrid model was evaluated using real smart meter datasets from an electricity company.Compared to similar models, this hybrid model achieves accuracy, precision, recall, F1-score, Matthews correlation coefficient (MCC), and area under the curve-receiver operating characteristic curve (AUC-ROC) scores of 88%, 86%, 84%, 85%, 78%, and 91%, respectively.The proposed model not only increases the accuracy of electricity usage monitoring, but also offers a new perspective for intelligent analysis in power systems.…”
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Optimized YOLOV8: An efficient underwater litter detection using deep learning by Faiza Rehman, Mariam Rehman, Maria Anjum, Afzaal Hussain

“…Future research should try various optimizers, batch sizes, and learning rates, as well as other hyperparameters tuning techniques.…”
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Deep Reinforcement Learning-Based Controller for Field-Oriented Control of SynRM by Erdal Kilic

Subjects: “…Deep reinforcement learning…”
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Machine learning photodynamics decode multiple singlet fission channels in pentacene crystal by Zhendong Li, Federico J. Hernández, Christian Salguero, Steven A. Lopez, Rachel Crespo-Otero, Jingbai Li

“…Here we combine a multiscale multiconfigurational approach and machine learning photodynamics to understand competing singlet fission mechanisms in crystalline pentacene. …”
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Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

Subjects: “…machine learning…”
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What is the implementation practice of schools as learning organisations from the perspective of local governments? by Inese Lusena-Ezera, Gunta Siliņa-Jasjukeviča

Subjects: “…Learning organisation…”
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Implementation of home visit method in offline learning during the Covid-19 pandemic by Benjamin Metekohy, Novita Sahertian, David Ming

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Comparing Cross-Subject Performance on Human Activities Recognition Using Learning Models by Zhe Yang, Mengjie Qu, Yun Pan, Ruohong Huan

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Study of improving the quality of learning in an effort to improve the quality of elementary school education by Ketut Susiani, I Wayan Suastra, Ida Bagus Putu Arnyana

“…And the quality of teaching can be done by developing innovative learning models. If educators are able to improve performance related to improving classroom management and the learning process by participating in training on various innovative learning, then the quality of education and the quality of graduates will be able to compete in the global era…”
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REVOLUTIONIZING EDUCATION: ASSESSING THE IMPACT OF MOBILE LEARNING APPS ON ACADEMIC SUCCESS AND ATTITUDES by Rommel AlAli

Subjects: “…mobile learning…”
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In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

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Automated strabismus detection and classification using deep learning analysis of facial images by Mahsa Yarkheir, Motahhareh Sadeghi, Hamed Azarnoush, Mohammad Reza Akbari, Elias Khalili Pour

“…This research presents a new deep-learning-based approach for automatically identifying and classifying strabismus from facial images. …”
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Analysis of Learning Obstacles for Junior High School Students in Understanding SPLDV Concepts by Firda Luthfiatika Jannah, Neneng Aminah, Surya Amami Pramuditya, Cita Dwi Rosita, M. Subali Noto

“…Tujuan penelitian ini untuk melakukan eksplorasi mengenai learning obstacle yang dialami oleh siswa SMP ketika mereka mencoba memahami konsep SPLDV. …”
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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Phosphorus by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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Deep Learning Landscape Evaluation System Integrating Poetic Emotion and Visual Features by Chuanyuan Li

Subjects: “…Deep learning…”
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