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Machine learning

Creating a novel algorithm for studying the strong convergence to a sequence with applications

Hasanen A. Hammad, Mohammed E. Dafaalla, Manal Elzain Mohamed Abdalla

Towards a secure Metaverse: Leveraging hybrid model for IoT anomaly detection

Sanchit Vashisht, Shalli Rani, Mohammad Shabaz

GlomSAM: Hybrid customized SAM for multi-glomerular detection and segmentation in immunofluorescence images

Shengyu Pan, Xuanli Tang, [ ... ], Wei Jin

Features extraction and fusion by attention mechanism for software defect prediction

Shaoming Qiu, Bicong E, Jingjie He

Deep learning models for segmenting phonocardiogram signals: a comparative study

Hiam Alquran, Yazan Al-Issa, Mohammed Alsalatie, Shefa Tawalbeh

Complex networks applied to political analysis: Group voting behavior in the Brazilian congress

Tiago José de Oliveira Toledo Junior, Diego Raphael Amancio, Roseli Aparecida Francelin Romero

Improving fishing ground estimation with weak supervision and meta-learning

Kazuki Takasan, Masaaki Iiyama

A deep learning-based approach for the detection of cucumber diseases

Lars Raufer, Jasper Wiedey, [ ... ], Ricardo Buettner

CWMS-GAN: A small-sample bearing fault diagnosis method based on continuous wavelet transform and multi-size kernel attention mechanism

Shun Yu, Zi Li, [ ... ], Yuheng Ren

A multi-target tracking method for UAV monitoring wildlife in Qinghai

Guoqing Zhang, Wei Luo, [ ... ], Jiandong Liu

Evaluating the three-level approach of the U-smile method for imbalanced binary classification

Barbara Więckowska, Katarzyna B. Kubiak, Przemysław Guzik

Comparing MEG and EEG measurement set-ups for a brain–computer interface based on selective auditory attention

Dovilė Kurmanavičiūtė, Hanna Kataja, Lauri Parkkonen

Enhancing student-centered walking environments on university campuses through street view imagery and machine learning

Yi Qin, Xue Wu, Tengfei Yu, Shuai Jiang

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