Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

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Change-Point Estimation and Detection for Mixture of Linear Regression Models by Wenzhi Zhao, Tian Cheng, Zhiming Xia

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Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development by Abdullah Almogahed, Hairulnizam Mahdin, Yeong Hyeon Gu, Mohammed A. Al-Masni, Shehab Abdulhabib Alzaeemi, Mazni Omar, Abdulwadood Alawadhi, Samera Obaid Barraood, Abdul Rehman Gilal, Adnan Ameen Bakather

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Application of machine learning in depression risk prediction for connective tissue diseases by Leilei Yang, Yuzhan Jin, Wei Lu, Xiaoqin Wang, Yuqing Yan, Yulan Tong, Dinglei Su, Kaizong Huang, Jianjun Zou

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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

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Enhanced skin cancer diagnosis: a deep feature extraction-based framework for the multi-classification of skin cancer utilizing dermoscopy images by Hadeel Alharbi, Gabriel Avelino Sampedro, Roben A. Juanatas, Se-jung Lim

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A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning by Shaokang Cai, Dezhi Han, Xinming Yin, Dun Li, Chin-Chen Chang

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Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images by Miao Wu, Chuanbo Yan, Gan Sen

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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

Subjects: “…impact-based heavy rainfall warning, multi-classification machine learning, impacts of floods, flood assessment, cascading impact…”
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Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary c... by Yuxiang Sun, Yuxiang Sun, Junpeng Xu, Dongsheng Kong, Yu Zhang, Qijia Wu, Liqin Wei, Zihao Zhu, Chunhui Li, Shiyu Feng

Subjects: “…magnetic resonance imaging; multi-classification…”
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