Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …

Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …

The defective regimes in metal-based Laser Powder Bed Fusion (LPBF) processes can be
minimized by deploying in-situ monitoring strategies comprising Machine learning (ML) …

The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …

Among radiological imaging data, Chest X-rays (CXRs) are of great use in observing COVID-
19 manifestations. For mass screening, using CXRs, a computationally efficient AI-driven …

Simple Summary Early esophageal cancer detection is crucial for patient survival; however,
even skilled endoscopists find it challenging to identify the cancer cells in the early stages. In …

Purpose Despite the proven utility of multiparametric magnetic resonance imaging (MRI) in
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …

An accurate forecast of wind power is very important in terms of economic dispatch and the
operation of power systems. However, effectively mitigating the risks arising from wind …

This paper describes a sheep biometric identification system based on facial images. A
machine vision system and deep learning model were developed and applied for animal …

In this paper, we introduce an “on the device” text line recognition framework that is
designed for mobile or embedded systems. We consider per-character segmentation as a …