Optical communication network signal analysis and cyber security modelling by frequency modulation with machine learning algorithm

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols

Abdulla Juwaied, Lidia Jackowska-Strumillo

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

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

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

Comparative machine learning analysis of energy and exergy performance in evacuated tube solar air heater with pierced twisted tape

A. Veerakumar, T. Karthickmunisamy, P. Manoj Kumar, S. Deepa, Dawit Tafesse Gebreyohannes