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Learning

A hybrid ensembling and autoencoder scheme for improving sensing reliability in cognitive radio networks

Noor Gul, Jehad Ali, [ ... ], Su Min Kim

Research on MOOCs course recommendation system based on hybrid attention mechanism in frequency and time domain

Hongli Yuan, Li Liu, [ ... ], Fucheng Zhang

JMM-TGT: Self-supervised 3D action recognition through joint motion masking and topology-guided transformer

Han Wen, Guangping Zeng, [ ... ], Mengyang Zhu

A novel few-shot object detection framework for multi-scene driving based on contrastive proposal encoding

Yalei Dong, Jing Xiao, Fengchen Wei

Impact of guided inquiry-based laboratory experiments on secondary school students’ attitudes toward biology in Ethiopia: A quasi-experimental study

Ashebir Mekonnen Chengere, Beyene Dobo Bono, Samuel Assefa Zinabu, Kedir Woliy Jilo

Intrusion detection using search-based learning optimized ensemble tree classifier model

Afnan M. Alhassan, Nouf I. Altmami

Understanding homeowner decision-making through demographics: Barriers to housing retrofit at scale

Chamara Panakaduwa, Paul Coates, Mustapha Munir

Mitigating semantic label divergence in federated learning: Obfuscated encoding and alert filtering for security monitoring

Yoonho Lee, Joonghyuk Im, Jisu Kim, Myungkeun Yoon

A histogram transformer approach using attention-based 3D residual network for human action recognition

Maojin Sun, Luyi Sun

Enhanced machine learning and hybrid ensemble approaches for Coronary Heart Disease prediction

Maurice Wanyonyi, Zakayo Ndiku Morris, Faith Mueni Musyoka, Dominic Makaa Kitavi

Short-term simulation training course improves basic obstetric ultrasound operational skills of residents: A multi-center study

Yongfeng Zhao, Ping Zhou, [ ... ], Yan Xu

Machine learning-based prediction of glioma grading

Shihong Liu, Yunfang Xie, [ ... ], Wei Zou

Enhancing mathematical modeling competencies through AI-powered VR

Nejla Gürefe, Hava Öksüz, Gülfem Sarpkaya Aktaş

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