Advanced fraud detection in financial systems: a comparative study of machine learning models on imbalanced data

A comparative study of machine and deep learning models for time-series-based bearing fault diagnosis of induction motors

Kamal Hamani, Martin Kuchar, Martin Sobek, Vojtech Sotola, Petr Palacky

Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition

Pouya Bohlol, Mohammad Hasan Sabet Dizavandi, Syed Saeid Mohtasebi, Mahmoud Omid

Abstract The fusion multi-sensory system with optimized deep learning and machine learning algorithms appeared to synergize difficult paradigms in precision agriculture and boost recognition of various plant species. In this study, an electronic nose (E-nose) system with eight MO…Read more

An explainable AI framework integrating machine and deep learning models for multi-species DNA functional group classification

Pratik Chakraborty, P. B. Shanthi

Abstract DNA functional group classification across species plays a crucial role in understanding genetic diversity, evolutionary relationships and biological function. The increasing availability of genomic data has led to the use of machine learning and deep learning methods fo…Read more

Development and external validation of machine learning models for predicting mortality in patients with lung cancer: a multicenter retrospective cohort study

Lihui Liu, Pan Zuo, Chunlan Yu, Xinhai Shen, Baoping Luo, Xicheng Zhang, et al.

Lung cancer remains the leading cause of cancer mortality worldwide. Accurate prognostic prediction can support clinical decision-making and resource allocation, yet many existing models use limited predictors and lack independent validation. We developed and externally validated…Read more

An interpretable machine learning model for chronic kidney disease identification among obese adults: a nationwide population-based study

HyeokJun Yang, Young Gyun Seo, Nayoung Han

Chronic kidney disease (CKD) is a major public health concern, particularly among individuals with obesity; however, population-level identification of CKD remains challenging. This study aimed to develop an interpretable machine learning model for CKD identification and to inves…Read more

Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques

Jinqin Tang, Junling Chai, Jinkun Dai, Jicheng Feng, Ruiqing Tian, Jijing Mei, et al.