Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments by Shamim Ahmed, M. Shamim Kaiser, Sudipto Chaki, A. B. M. Shawkat Ali

“…The framework integrates reinforcement learning (RL) based client selection using both Tabular Q-Learning and Deep Q-Network (DQN) strategies to dynamically identify clients that most positively impact global model performance. …”
Get full text

Investigation of students' academic participation in combined learning based on learning management system. by Daryadokht Masroor Roudsar, Haghani Hamid, Dehnad Afsaneh, Mojtaba Ghanbari Ghalesari, Shoub Ghasemi Maryam, Rokni Akbarian Mostafa

“…The present study aimed to investigating the relationship between academic participation of nursing students who use combination education based on learning management system (LMS) and studied their degree of academic participation. …”
Get full text

Technological Resources and Problem-Solving Methods to Foster a Positive Attitude Toward Formative Research in Engineering Students by Ronald Paucar-Curasma, Klinge Orlando Villalba-Condori, Sara Hermelinda Gonzales-Agama, Freddy Toribio Huayta-Meza, David Rondon, Ninna Nyberg Sapallanay-Gomez

“…The classroom interventions involved developing investigative activities based on the four phases of the problem-solving method: understanding the problem, developing a plan, executing the plan, and reviewing the solution. …”
Get full text

Implementation of Technology-Based Interactive Learning Media in Supporting Students’ Learning Motivation by Ummu Salma, Haris Habibul Fattah, Eko Setiawan, Ika Ratih Sulistiani

“…This study specifically aims to explore the implementation of technology-based interactive learning media, reveal the effect of technology-based interactive learning media on students’ learning motivation, and identify supporting and inhibiting factors in the implementation of technology-based learning in PAI subjects at SMPI Salafiyah Singosari. …”
Get full text

PODCAST-BASED LEARNING: EVALUATING THE SUCCESS OF LEARNING MEDIA DEVELOPMENT IN VOCATIONAL EDUCATION by R Eka Murtinugraha, Shilmi Arifah, Rosmawita Saleh, Riyan Arthur, Nindya Reza Ostiyani

“…Purpose – This study evaluates the success of developing podcast-based learning media in Vocational Education Management courses in higher education. …”
Get full text

Deep reinforcement learning enhanced PID control for hydraulic servo systems in injection molding machines by Xiaoxi Hao, Zengmiao Xin, Weizhuo Huang, Sicheng Wan, Guangfan Qiu, Tianlei Wang, Zhu Wang

Get full text

Enhancing fever of unknown origin diagnosis: machine learning approaches to predict metagenomic next-generation sequencing positivity by Zhi Gao, Zhi Gao, Zhi Gao, Yongfang Jiang, Yongfang Jiang, Yongfang Jiang, Mengxuan Chen, Mengxuan Chen, Mengxuan Chen, Weihang Wang, Weihang Wang, Weihang Wang, Qiyao Liu, Qiyao Liu, Qiyao Liu, Jing Ma, Jing Ma, Jing Ma

“…ObjectiveMetagenomic next-generation sequencing (mNGS) can potentially detect various pathogenic microorganisms without bias to improve the diagnostic rate of fever of unknown origin (FUO), but there are no effective methods to predict mNGS-positive results. This study aimed to develop an interpretable machine learning algorithm for the effective prediction of mNGS results in patients with FUO.MethodsA clinical dataset from a large medical institution was used to develop and compare the performance of several predictive models, namely eXtreme Gradient Boosting (XGBoost), Light Gradient-Boosting Machine (LightGBM), and Random Forest, and the Shapley additive explanation (SHAP) method was employed to interpret and analyze the results.ResultsThe mNGS-positive rate among 284 patients with FUO reached 64.1%. …”
Get full text

Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model by Xiaoqian Zhao, Xiaoqian Zhao, Long Lyu, Li Zhang, Li Zhang

Get full text

The Influence of Learning Methods and Media on the Teaching Effectiveness of Arabic Language Teachers by Afriza, Nurazzelena Abdullah, Kasmiati Kasmiati, Halomoan, abul maali

Get full text

A machine learning model for predicting lymph node positivity in ovarian cancer: development, validation, and clinical application by QingYong Guo, Jinji Wang, Ru Chen, LiPing Hu, Wenqiang You

“…However, accurately predicting lymph node positivity remains challenging due to the disease’s heterogeneity and the limitations of traditional models in handling high-dimensional and imbalanced data.MethodsA retrospective analysis was conducted using the SEER database (2000–2021), including 26,844 OC patients with complete clinical information. …”
Get full text

A Deep Neural Network-Based High Performance Robust Position Controller for Servomechanisms by Mehmet Ilyas Bayindir

“…A new high-performance deep neural network-based robust quasi-time optimal servomechanism (DNN-RQTOS) method for position control is proposed in this study. …”
Get full text

The effect of performance-based assessment on academic resilience, motivation, and teacher support in virtual versus non‑virtual classes by Mahan Yaghoubi, Abbas Pourhosein Gilakjani, Gholam-Reza Abbasian

“…Spearman’s correlation analysis revealed strong positive relationships between AR, motivation, and TS, suggesting that PBA fosters an interconnected, supportive learning experience particularly effective in online environments, where digital platforms’ flexibility can significantly support learner development. …”
Get full text

Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning by Jie Wu, Rui Xu, Runhui Huang, Xuezhi Hong

“…The impacts of the parameter of active learning on the performance of the GPR-VLP are also presented via experimental investigation, which shows that (1) the proposed training method outperforms the conventional one regardless of the number of final effective training data (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="double-struck">E</mi></mrow></semantics></math></inline-formula>), especially for a small/moderate effective training dataset, (2) a moderate step size (<i>k</i>) should be chosen for updating the effective training dataset to balance the positioning accuracy and computational complexity, and (3) due to the interplay of the reliability of the initialized GPR model and the flexibility in reshaping such a model via active learning, the number of initial effective training data (<i>m</i>) should be optimized. …”
Get full text

A new method for reconstructing building model using machine learning by Shengjie Wu, Haibo Ye, Antao Li, Huawei Tu, Shenxin Xu, Dong Liang

“…Unlike the more popular projection-based raster rendering method, this study uses a point-based volume rendering method and light sampling to detect architectural features. …”
Get full text

Improved UWB-based indoor positioning system via NLOS classification and error mitigation by Shoude Wang, Nur Syazreen Ahmad

“…Although Ultra-Wideband (UWB) technology is renowned for its high precision in Line-of-Sight (LOS) environments, under NLOS conditions, positioning errors typically exceed 30 cm. To address this issue, we propose a method for identifying and classifying NLOS signals based on Support Vector Machine Recursive Feature Elimination (SVM-RFE). …”
Get full text

Traffic travel pattern recognition based on sparse Global Positioning System trajectory data by Juan Chen, Kepei Qi, Shiyu Zhu

“…The experimental results of this article show that compared with threshold-based and multi-layer perceptron–based methods, the recognition method based on density-based spatial clustering of applications with noise clustering has the highest accuracy, reaching 82.20%. …”
Get full text

Development of a social learning theory-based pressure injury training program for nursing assistants in Chinese nursing homes by Yanxia Guo, Yanxia Guo, Shengnan Yang, Plernpit Boonyamalik, Arpaporn Powwattana, Wen Zhu, Lingxia Xu

“…The training program was designed based on SLT, emphasizing observational learning, enactive learning, and behavioral reinforcement. …”
Get full text

Ship crack detection method based on lightweight fast convolution and bidirectional weighted feature fusion network by Chong WANG, Yuhui ZHU

“…ObjectiveAs traditional ship crack detection methods based on artificial visual inspection and ultrasonic methods in ship repair and inspection processes have the characteristics of low efficiency, high cost and high danger, a ship crack detection method based on deep learning is proposed. …”
Get full text

The Relationship of Online Learning and Information Technology with Cognitive, Affective, and Psychomotor Abilities by Sidik Awaludin, Usman Chatib Warsa, Soetrisno Soemardjo, Elly Nurachmah, Arum Atmawikarta, Dwi Novitasari

“…A significant relationship (p < 0.05) was found between mastery of online learning methods and information technology support and cognitive and psychomotor abilities in a positive direction. …”
Get full text

Implementation of the Learning Method of the Prophet Muhammad Saw at Islamic Boarding Schools by Mohammad Wisnu Khumaidi, Agus Maimun, Fadil Fadil

“…Recommendations for further research are to expand the location and context of the study, as well as examine the integration of the Prophet SAW's learning methods with technology-based learning approaches to answer the challenges of the times. …”
Get full text