Rolling Bearing Fault Diagnosis Based on Stacked Autoencoder Network with Dynamic Learning Rate by Hong Pan, Wei Tang, Jin-Jun Xu, Maxime Binama

Get full text

Improving Fiqh Learning Outcomes Through a Mind Mapping-Based Flipped Classroom by Pristian Hadi Putra, Uun Fauzanah Fitri, Adi Putra, Endah Silawati

“…This confirms that the flipped classroom model based on mind mapping significantly and positively influences the improvement of Fiqh learning outcomes among Grade VIII students at MTsN 6 Kerinci.…”
Get full text

A deep learning‐based approach for software vulnerability detection using code metrics by Fazli Subhan, Xiaoxue Wu, Lili Bo, Xiaobing Sun, Muhammad Rahman

“…Compared to other deep learning‐based vulnerability detection models, the authors’ proposed model produced a lower false‐positive rate, a lower miss rate, and improved accuracy.…”
Get full text

Project-Based Learning in Advanced Engineering Schools: Keeping Personal Education Ahead of the Curve by Anastasia D. Melnik, Anatolii V. Merenkov, Daniil G. Sandler

“…The discussion about project-based learning centers on the challenges of interrelation bet­ween higher education and the labor market and the development of proactive teaching methods in universities. …”
Get full text

Deep learning-based detection of bacterial swarm motion using a single image by Yuzhu Li, Hao Li, Weijie Chen, Keelan O’Riordan, Neha Mani, Yuxuan Qi, Tairan Liu, Sridhar Mani, Aydogan Ozcan

“…To address these limitations, we developed a deep learning-based swarming classifier that rapidly and autonomously predicts swarming probability using a single blurry image. …”
Get full text

QUR'AN-BASED MATHEMATICS LEARNING DESIGN ON THE SET MATERIAL FOR JUNIOR HIGH SCHOOL STUDENTS by Rahmy Zulmaulida, Dwi Syifa Kusumawati, Mahdalena Mahdalena

“…This study aims to develop a valid and effective Al-Qur'an-based mathematics learning design to be used as a choice of teaching materials for educators. …”
Get full text

Pulmonary Nodules Detection Algorithm Combining Multi-view and Attention Mechanism by LIU Yu-bo, LIU Guo-zhu, SHI Cao, XU Can-hui

Get full text

Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification by Qiusheng Chen, Zhuoqun Fang, Shizhuo Deng, Tong Jia, Zhaokui Li, Dongyue Chen

“…Furthermore, we design a feature-level data augmentation method based on feature masking to assist contrastive learning tasks and generate more varied training data. …”
Get full text

Using traffic data to identify land-use characteristics based on ensemble learning approaches by Jiahui Zhao, Zhibin Li, Pan Liu

“…Regarding the identification models, two widely used Ensemble learning methods: Random Forest and Adaboost, are introduced to classify the land-use type and fit the land-use density. …”
Get full text

Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection by Lijun Hao, Changmin Wang, Jinshan Che, Mingming Sun, Yuhong Wang

“…Deep learning has recently been introduced to address these limitations, yet existing models often lack robust feature extraction, generalization capability, and effective domain adaptation strategies.MethodsIn this study, we propose a novel deep learning-based time series prediction framework for multispectral and hyperspectral medical imaging analysis. …”
Get full text

Deep Learning-Based Feature Matching Algorithm for Multi-Beam and Side-Scan Images by Yu Fu, Xiaowen Luo, Xiaoming Qin, Hongyang Wan, Jiaxin Cui, Zepeng Huang

Get full text

Deep Learning-Based Ground-Penetrating Radar Inversion for Tree Roots in Heterogeneous Soil by Xibei Li, Xi Cheng, Yunjie Zhao, Binbin Xiang, Taihong Zhang

“…In this paper, a deep learning-based ground-penetrating radar (GPR) inversion method is proposed to simultaneously image the spatial distribution of permittivity for subsurface tree roots and layered heterogeneous soils in real time. …”
Get full text

Keyword-optimized template insertion for clinical note classification via prompt-based learning by Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin Böttinger, Ipek Ensari, Thomas J. Fuchs

“…This study aims to investigate the impact of template position on model performance and training efficiency in clinical note classification tasks using prompt-based learning, especially in zero- and few-shot settings. …”
Get full text

Prediction and Screening of Lead-Free Double Perovskite Photovoltaic Materials Based on Machine Learning by Juan Wang, Yizhe Wang, Xiaoqin Liu, Xinzhong Wang

Get full text

Deep Learning-Based Video Anomaly Detection Using Optimised Attention-Enhanced Autoencoders by Anjali S, Don S

Get full text

The Effectiveness of Interactive Multimedia-Based E-Moral Games in Teaching and Learning Moral Education by Sakinah Salleh, Ain Syafia Qutreenie Alwi, Alwi Mohd Yunus

Get full text

Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data by Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens

“…As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. …”
Get full text

Pregnancy probability prediction models based on 5 machine learning algorithms and comparison of their performance by REN Chao, REN Chao, YANG Huan, ZHOU Niya, ZHOU Niya

“…It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires. …”
Get full text

Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…Basic operations included standardizing the player’s position and reformatting half-court representations into grids. …”
Get full text

The influence of game-based learning on tactical awareness and skill development in golf training programs. by Chenghui Jin

“…<h4>Objective</h4>To investigate the effects of game-based learning on tactical awareness and skill development in golf training programs.…”
Get full text