In this work, a comparative study on high-efficiency machine learning algorithms for the goal
of incorporating machine learning and Veterinary Medicine has been conducted. In this …

Ensemble classifier systems are considered as one of the most promising in medical data
classification and the performance of deceision tree classifier can be increased by the …

Abstract The World Health Organization (WHO) has declared an end to the emergency
phase of the COVID-19 pandemic. However, it is still negatively impacting countries like …

This paper presents the time variability analysis of photoplethysmogram biometric
identification system. There have been few researches discussing about the effectiveness of …

Supervised machine learning models have been shown to be effective in disease-related
classification and prediction tasks by employing several classifiers. A prominent category …

The World Health Organization (WHO) has declared an end to the emergency phase of the
COVID-19 pandemic. However, it is still negatively impacting countries like Ethiopia. Thus …

Radiation therapy and chemotherapy may be considered life-saving treatments for cancer
patients. Though this treatment is not always successful, it left very higher effects on our …

The aim of this research is to study the implementation of expert system for diagnosis and
rectification of yarn faults in Tigrai, particularly in ALTEX and MAA garment and textiles. In …