PERCEPTION AND SATISFACTION AMONG OPEN AND DISTANCE LEARNING STUDENTS IN UNIVERSITI TEKNOLOGI MALAYSIA by Christnalter Bunsu, Noor Dayana Abd Halim

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INSTRUMENT ASSESSMENT IN STUDENT LEARNING OUTCOME FOR FACTUAL AND CONCEPTUAL HOTS ON SCIENCE EDUCATION by Endang Widi Winarni, Endina Putri Purwandari, Rinto Hartono

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Deep reinforcement learning for time-critical wilderness search and rescue using drones by Jan-Hendrik Ewers, David Anderson, Douglas Thomson

Subjects: “…reinforcement learning…”
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What Is a Healthy Forest? A Supplement to Florida Project Learning Tree by Sarah L. Hicks, Martha C. Monroe, Geetha S. Iyer, Jason A. Smith

“…A Supplement to Florida Project Learning Tree (ufl.edu) …”
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Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning by Kele Xu, Kang You, Boqing Zhu, Ming Feng, Dawei Feng, Cheng Yang

“…Recently, deep learning-based methods have emerged as the preferred approach for ultrasound data analysis. …”
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Bicriterion Optimization for Flow Shop with a Learning Effect Subject to Release Dates by Ji-Bo Wang, Jian Xu, Jing Yang

“…This paper investigates a two-machine flow shop problem with release dates in which the job processing times are variable according to a learning effect. The bicriterion is to minimize the weighted sum of makespan and total completion time subject to release dates. …”
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Machine Learning  Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka by Piyal Ekanayake, Windhya Rankothge, Rukmal Weliwatta, Jeevani W. Jayasinghe

“…Moreover, RF was used to develop a paddy yield prediction model and four more techniques, namely, Power Regression (PR), Multiple Linear Regression (MLR) with stepwise selection, forward (step-up) selection, and backward (step-down) elimination, were used to benchmark the performance of the machine learning technique. Their performances were compared in terms of the Root Mean Squared Error (RMSE), Correlation Coefficient (R), Mean Absolute Error (MAE), and the Mean Absolute Percentage Error (MAPE). …”
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Analysis of Financing Efficiency of Chinese Agricultural Listed Companies Based on Machine Learning by Lixia Liu, Xueli Zhan

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Retracted: Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Journal of Advanced Transportation

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Implementasi model pembelajaran discovery learning pada pembelajaran teks ulasan film by Iffah Khairiah, Ajang Budiman, Fida Pangesti

“…Model pembelajaran discovery learning merupakan salah satu model pembelajaran yang dapat membantu siswa dalam memperoleh pengalaman belajar yang kreatif, inovatif, dan optimal. …”
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Machine Learning Model for Gas–Liquid Interface Reconstruction in CFD Numerical Simulations by Tamon Nakano, Michele Alessandro Bucci, Jean-Marc Gratien, Thibault Faney

“…However, these machine learning-based methods are restricted to computations on structured grids. …”
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Retracted: Prediction of Coal Mining Subsidence Based on Machine Learning Probability Theory by Journal of Electrical and Computer Engineering

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Didactics of African Languages and English for Specific Purposes: Integrated Approaches for Hybrid Learning by Ibrahima KARAMOKO & Nongoiala Sidiky SILUE

“…The objective is twofold: to examine the linguistic and didactic interconnection between these two domains, and to formulate practical recommendations to improve their co-learning in multilingual contexts. Two questions inform the study: how can the coexistence of African languages and English enrich hybrid learning? …”
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CLAIRE: a contrastive learning-based predictor for EC number of chemical reactions by Zishuo Zeng, Jin Guo, Jiao Jin, Xiaozhou Luo

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What do Parents Learn by Reading a DPT Vaccine Information Form? by Ronald Gold, Gordean L Bjornson

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Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning by Wei Hao, Donglei Rong, Kefu Yi, Qiang Zeng, Zhibo Gao, Wenguang Wu, Chongfeng Wei, Biljana Scepanovic

“…With the exponential growth of traffic data and the complexity of traffic conditions, in order to effectively store and analyse data to feed back valid information, this paper proposed an urban road traffic status prediction model based on the optimized deep recurrent Q-Learning method. The model is based on the optimized Long Short-Term Memory (LSTM) algorithm to handle the explosive growth of Q-table data, which not only avoids the gradient explosion and disappearance but also has the efficient storage and analysis. …”
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DRAFTS: A Deep-learning-based Radio Fast Transient Search Pipeline by Yong-Kun Zhang, Di Li, Yi Feng, Chao-Wei Tsai, Pei Wang, Chen-Hui Niu, Hua-Xi Chen, Yu-Hao Zhu

“…In this paper, we present DRAFTS , a deep-learning-based radio fast transient search pipeline. …”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

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Cross-domain entity identity association analysis and prediction based on representation learning by Mingcheng Gao, Ruiheng Wang, Lu Wang, Yang Xin, Hongliang Zhu

“…Moreover, we creatively designed a network representation learning method. We proposed a supervised learning identity association model combined with a representation learning method. …”
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Machine-learning-based cost prediction models for inpatients with mental disorders in China by Yuxuan Ma, Xi Tu, Xiaodong Luo, Linlin Hu, Chen Wang

Subjects: “…Machine learning…”
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