A predictive target tracking framework for IoT using CNN–LSTM

LA Hussain, S Singh, R Mizouni, H Otrok, E Damiani - Internet of Things, 2023 - Elsevier
This paper addresses the issue of tracking a mobile target, through a data-driven active
sensor selection mechanism in the Internet of Things (IoT) sensing applications. IoT …

Hybrid K-Mean PSO Clustering Algorithm for Energy-Efficient of Object Tracking in WSNs

SH Ahmed, AN Rashid - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Target tracking can be a time-consuming and resource-hungry process due to the limitations
in resource, power, sensing capability, communication, memory, and computational …

Reduced Spread Risk of COVID-19 based on Tracking System Monitoring in WSNs

MH Fahed, AN Rashid - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
The phrase" COVID-19" has become the most popular and highly searched term on Google
since its emergence in November 2019. The world must combat this pandemic. With …

Intelligent Classifiers for Football Player Performance Based on Machine Learning Models

BM Merzah, MS Croock, AN Rashid - International journal of electrical …, 2024 - hrcak.srce.hr
Sažetak The remarkable effectiveness of Machine Learning (ML) methodologies has led to a
significant increase in their application across various academic domains, particularly in …

Reduce the Spread Risk of COVID-19 based on Clinical Fusion Data and Monitoring System in Wireless Sensor Network

MH Fahad, AN Rashid - Full Length Article, 2023 - americaspg.com
Abstract The expression “COVID-19” has been the fiercest but most trending Google search
since it first appeared in November 2019. Due to advances in mobile technology and …

[PDF][PDF] Machine Learning based Framework for Target Tracking and Detection

LHA Hussain - 2022 - khazna.ku.ac.ae
Detection”, M. Sc. Thesis, M. Sc. in Computer Science, Department of Electrical Engineering
and Computer Science, Khalifa University of Science and Technology, United Arab …