Recent years have seen an impressive increase in the efficiency and accuracy of object-detection models through the use of region-based
Category: Deep Learning
A data-analytic and machine learning approach to diabetes monitoring
Diabetes mellitus – commonly known as diabetes – is one of the most prevalent challenges in modern healthcare. Whilst presenting
“To trust a LIAR”: Does Machine Learning really classify fine-grained, fake news statements?
Fake News is a contemporary problem which causes serious social harm. People have been killed because of false assertions on
Optimising station-stocking in bicycle-sharing systems
his study aims to examine algorithmic approaches in increasing efficiency in bicycle-sharing systems (BSS), with the aim of increasing bicycle-sharing
A Citizen Approach for the Collection of Data to Train Deep Learning Models
Over recent years, technology in nature studies offered assistance in academic research and solutions for environmental crises. Machine learning is
Identification of Alien Objects Underwater
Artificial Neural Networks and Deep Learning approaches have proven their capabilities in in-air imagery [1, 2, 3, 4] and, as
Emotion Recognition from Static Images
Nowadays, automation using artificial intelligence is being introduced across a wide spectrum; from households to large enterprises. Analysing human emotion
Document Segmentation using Deep Learning
In recent years, with the rise of computational power and the growing popularity of artificial intelligence, the fields in data