In the past two years, medical researchers and data scientists worldwide have focused their
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …

This work presents a supervised deep hashing method for retrieving similar audio events.
The proposed method, named AudioNet, is a deep-learning-based system for efficient …

Scene text detection and recognition are vital challenging tasks in computer vision, which
are to detect and recognize sequences of texts in natural scenes. Recently, researchers …

We aimed to develop and validate a deep learning-based system using pre-therapy
computed tomography (CT) images to detect epidermal growth factor receptor (EGFR) …

Cannabidiol (CBD) is a chemical substance found in cannabis plant. It is a member of the
cannabinoid class of natural products. The cannabis plant was originally found in Central …

The advent of artificial intelligence (AI) has revolutionized diagnostic procedures, promising
enhanced accuracy and efficiency across various domains. This dissertation leverages AI …

Information extraction and retrieval are growing fields that have a significant role in
document parser and analysis systems. Researches and applications developed in recent …

Applying Machine Learning to Intelligent Chatbot for Preventive Care Page 1 Applying Machine
Learning to Intelligent Chatbot for Preventive Care Sofia Malpique Mestrado em Ciência de …

Acoustic testing is a technology that covers various machinery failure modes, including
bearing and gear failures. This technology is superior to vibration analysis for gear and …

From a comprehensive and systematic search of the relevant literature on signal data
signature (SDS)-based artificial intelligence/machine learning (AI/ML) systems designed to …