Time series classification is an active research topic due to its wide range of applications
and the proliferation of sensory data. Convolutional neural networks (CNNs) are ubiquitous …

Abstract Systems for autonomously identifying and analyzing human activities (HAR) make
use of video data captured from various devices area requires ongoing updates due to the …

Active Learning (AL) has emerged as a promising approach to enhance image classification
tasks by intelligently selecting which data samples should be labeled for training, thereby …

Blockchain technology has emerged as a promising solution for enhancing security and
transparency in various domains, including evidence management in criminal …

Automated Machine Learning (AutoML) has emerged as a transformative force in data
science, revolutionizing the way machine learning models are developed and deployed …

As cyber threats evolve, the effectiveness of network security mechanisms such as firewalls
and Intrusion Detection and Prevention Systems (IDPS) becomes crucial. This paper …

Blockchain technology has gained significant attention due to its decentralized and
transparent nature, making it an attractive platform for various applications, including …

In recent years, advancements in Artificial Intelligence (AI) have transformed various sectors,
including law enforcement and crime prevention. This paper explores the integration of Big …