MFTs-Net: A Deep Learning Approach for High Similarity Date Fruit Recognition

An innovative voting ensemble learning approach for sorting and classifying date fruit varieties

Dates are among Algeria's most significant agricultural crops due to their considerable health and f

AUTOMATIC SPEECH RECOGNITION FOR AFAAN OROMO: A DEEP LEARNING APPROACH

Major Advisor: Jabesa Daba (Assist. Professor) Speech is one of the common styles of communication

A deep learning approach for line-level Amharic Braille image recognition

An innovative deep learning approach for Arabic race recognition

In computer vision, human race detection has become a critical application across many domains, such

A Deep Learning Approach to Speech Recognition for Detection of Mental Disorders

Mental disorders are conditions that affect a person’s cognitive functions, behavior or thinking, th

Deep Hybrid Similarity Learning for Person Re-identification

Person Re-IDentification (Re-ID) aims to match person images captured from two non-overlapping camer