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Machine learning algorithms

Computational models for the classification of antibody specificity using heavy chain features

Jia Lin, Jiaqi Chen, [ ... ], Zicheng Cao

Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems

Haoyi Zhao, Xiangming Huang, [ ... ], Gaojie Lu

Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation

Afridi Rahman Bondhon, Emon Kumar Dey

Network toxicology and bioinformatics analysis predict potential molecular targets and mechanisms by which sevoflurane and propofol influence type 2 diabetes mellitus

Lili Bai, Ping Li, Lina Zhao

A curated dataset and lightweight deep learning framework for tea leaf disease classification

Sakibul Hasan Chowdhury, Md Shohel Arman, [ ... ], Parvez Ahmed Moju Fahim

Chrysoprase color grading with machine learning: A systematic approach

Yuansheng Jiang, Ying Guo, [ ... ], Stephen Westland

Deep learning–based region merging with adaptive threshold optimization for building segmentation in remote sensing images

Asim Shoaib, Muhammad Waqas Nadeem, [ ... ], Muhammad Adnan Khan

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

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