Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure by Nataliya Shakhovska, Lesia Mochurad, Rosana Caro, Sotirios Argyroudis

“…This paper presents an innovative approach to surrogate modeling for predicting indoor air temperature (IAT) in buildings, leveraging advanced machine learning techniques. At the core of this study is the application of Long Short-Term Memory (LSTM) networks for time-series modeling, which significantly enhances the capture of temporal dependencies in temperature predictions. …”
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Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model by Sundeep Siddula, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique, Subash Thanappan

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A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers by Tom W. Andrew, Mogdad Alrawi, Ruth Plummer, Nick Reynolds, Vern Sondak, Isaac Brownell, Penny E. Lovat, Aidan Rose, Sophia Z. Shalhout

“…MCC and DeepMerkel provide the exemplar model of personalised machine learning prognostic tools in aggressive skin cancers.…”
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Effects of Metabolic Dysfunction–Associated Steatohepatitis in Alertness, Associative Learning, and Astrocyte Density by Sara G. Higarza, Marina De Antón‐Cosío, Candela Zorzo, Jorge L. Arias, Natalia Arias

“…Results Our results showed that, whereas the MASH group did not display an impaired associative learning, a lower exploration rate was found in this group. …”
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Project Based Learning Model: Can It Improve Dribbling Skills In Soccer Games? by Riyan Hardinata, Ghana Firsta Yosika, Youssouf Haïdara, Rahmat Putra Perdana, Uray Gustian, Didi Suryadi, Makan Sacko, Muhamad Zainal Abidin

Subjects: “…problem based learning model…”
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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm by Van Quan Tran

“…The aim of this paper was to select a highest performance and reliable machine learning (ML) model to predict the permeability coefficient of soil and quantify the feature importance on the predicted value of the soil permeability coefficient with aided machine learning-based SHapley Additive exPlanations (SHAP) and Partial Dependence Plot 1D (PDP 1D). …”
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Implementation of project-based learning at a technical university: teacher enthusiasm or resistance by Ekaterina A. Gradaleva, Maria Houston

Subjects: “…project-based learning…”
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Nonpenalty Machine Learning Constraint Handling Using PSO-SVM for Structural Optimization by Marco M. Rosso, Raffaele Cucuzza, Fabio Di Trapani, Giuseppe C. Marano

“…In this paper, a new nonpenalty-based constraint handling approach for PSO is implemented, adopting a supervised classification machine learning method, the support vector machine (SVM). …”
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The analysis of students’ reading and writing difficulties in learning english at universitas kristen indonesia by Lamhot Naibaho

“…This study aims to analyse the students' reading and writing difficulties in learning English, and it was conducted at Universitas Kristen Indonesia. …”
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State of Charge Prediction for Electric Loader Battery Based on Extreme Learning Machine by Wei Ding, Fumin Zou, Jishun Liu, Cheng Zhang

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A comprehensive review of large language models: issues and solutions in learning environments by Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, Habib Hamam

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Implementation of Blended Learning in Southern African Marginalised Higher Education Eclectic Contexts by Patricia Muhuro, Simon Murote Kang’ethe

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Scenario-adaptive wireless fall detection system based on few-shot learning by Yuting ZENG, Suzhi BI, Lili ZHENG, Xiaohui LIN, Hui WANG

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The level of motivation and barrier to physical education learning: the perspective of boarding school students by Rama Kurniawan, Wiji Bagus Sasmito Khamid, Surya Adi Putra

“…Motivation in physical education learning is essential for achieving educational goals. …”
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Feature Selection and Machine Learning Approaches for Detecting Sarcopenia Through Predictive Modeling by Akhrorbek Tukhtaev, Dilmurod Turimov, Jiyoun Kim, Wooseong Kim

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A novel deep learning based time-varying channel prediction method by Jie ZHANG, Lihua YANG, Zenghao WANG, Bo HU, Qian NIE

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Predictive Analytics in Construction: Multi-Output Machine Learning Models for Abrasion Resistance by Shaheen Mohammed Saleh Ahmed, Hakan Güneyli, Süleyman Karahan

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PENERAPAN PROJECT BASED LEARNING BERBASIS LINGKUNGAN UNTUK MENINGKATKAN KEAKTIFAN SISWA by Novi Ainun Marma Ubaidah, Martyana Prihaswati, Iswahyudi Joko Suprayitno

Subjects: “…Project Based Learning, Keaktifan…”
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A Deep Learning Anomaly Detection Framework for Satellite Telemetry with Fake Anomalies by Yakun Wang, Jianglei Gong, Jie Zhang, Xiaodong Han

“…Then, we use the Long Short-Term Memory (LSTM), a deep learning method, to model the multivariable time-series data, and a Gaussian model to detect anomalies. …”
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Sick by design? Why medical education needs health promoting learning environments by Victor Do, Melanie Lewis, Leslie Flynn, Lyn K Sonnenberg

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