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Machine learning algorithms

Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning

Kumar Sekhar Roy, Shweta Singh, [ ... ], Sk Mahmudul Hassan

Optimising supervised machine learning algorithms predicting cigarette cravings and lapses for a smoking cessation just-in-time adaptive intervention (JITAI)

Corinna Leppin, Jamie Brown, [ ... ], Olga Perski

Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning

Bin Du, Wei Qi, Haibo Bai

Analyzing the performance of deep learning splice prediction algorithms

Nathan Fortier, Gabe Rudy, Andreas Scherer

Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning

Ömer Karakoç, Samet Memiş, Bahar Sennaroglu

A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms

Gustavo Vieira Veloso, Danilo César de Mello, [ ... ], José A. M. Demattê

An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu

Qiang Han, Yibo Xu, [ ... ], Bo Liu

Federated high order tensor fusion for privacy preserving multimodal social media analysis

Li Wan, Bin Zhang

Data fusion-based traffic prediction and software decision support for recreational suburban roads

Shahriar Afandizadeh, Saeid Abdolahi, Hamid Mirzahossein

Interpretable miRNA-based prediction model for early detection of pancreatic cancer: Development and cross-platform validation

Yanfei Zhu, Linglin Zhu, [ ... ], Hong Zhao

Identification of potential biomarkers for osteoporosis and chronic kidney disease through bioinformatics and machine learning algorithm

Hao Tang, Kai Hu, [ ... ], Tianwen Ye

Development of predictive models for the prognosis of triple-negative breast cancer using multiple transcriptomic analyses

Suhyun Hwangbo, Yoojin Choi, Jae Yong Ryu

Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population

Megumi Shiomi, Yuki Nagata, [ ... ], Toshihiro Tanaka

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