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

A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference

Siham Essahraui, Chaymae Rami, Khalid El Makkaoui, Ibrahim Ouahbi

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 energy efficient reliable machine learning based fuzzy fault tolerant model with self-healing routing in wireless sensor networks

Manoj Kumar Reddy Devarla, S. V. N. Santhosh Kumar

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

Exploring feature limitations in antimicrobial resistance prediction: machine learning and deep learning in A. baumannii

Zahra Seraj, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, Bahareh Attaran, Sajjad Gharaghani

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