Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …

Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

Mosaic, Rust, Brown spot, and Alternaria leaf spot are the four common types of apple leaf
diseases. Early diagnosis and accurate identification of apple leaf diseases can control the …

Several studies have invested in machine learning classifiers to protect plants from diseases
by processing leaf images. Most of the proposed classifiers are trained and evaluated with …

The latest generation of convolutional neural networks (CNNs) has achieved impressive
results in the field of image classification. This paper is concerned with a new approach to …

Training deep learning models is compute-intensive and there is an industry-wide trend
towards hardware specialization to improve performance. To systematically benchmark …

The development of robotic solutions for agriculture requires advanced perception
capabilities that can work reliably in any crop stage. For example, to automatise the tomato …

Objectives: The study evaluated the automatic prediction of obstructive disease from
myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion …

Deep learning has recently gained popularity achieving state-of-the-art performance in tasks
involving text, sound, or image processing. Due to its outstanding performance, there have …