[HTML][HTML] M2M communication performance for a noisy channel based on latency-aware source-based LTE network measurements

L Zhang, S Hu, M Trik, S Liang, D Li - Alexandria Engineering Journal, 2024 - Elsevier
Abstract The phrase" Machine-to-Machine"(M2M) communication has gained widespread
usage owing to the growing understanding of the Internet of Things. In the upcoming years, it …

Fault Detection, Classification and Localization Along the Power Grid Line Using Optimized Machine Learning Algorithms

M Najafzadeh, J Pouladi, A Daghigh, J Beiza… - International Journal of …, 2024 - Springer
Distributed energy generation increases the need for smart grid monitoring, protection, and
control. Localization, classification, and fault detection are essential for addressing any …

Optimization of resources in intelligent electronic health systems based on Internet of Things to predict heart diseases via artificial neural network

Y Liao, Z Tang, K Gao, M Trik - Heliyon, 2024 - cell.com
As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems
hold great promise for enhancing healthcare delivery and illness prevention efforts. These …

[HTML][HTML] Cloud center energy consumption control for predictability in neural fuzzy systems

M Yan, RO Yahya - Journal of King Saud University-Computer and …, 2024 - Elsevier
Cloud computing provides tool-based IT services to customers worldwide. It is built on a fee-
for-service model and enables the hosting of large programs from consumer, scientific, and …

An optimal method for diagnosing heart disease using combination of grasshopper evalutionary algorithm and support vector machines

W Zhou, H Liu, R Zhou, J Li, S Ahmadi - Heliyon, 2024 - cell.com
Due to the importance of accurate diagnosis and prompt treatment of this condition, the
medical world is searching for a solution for its early detection and efficient treatment. Heart …

[HTML][HTML] A label learning approach using competitive population optimization algorithm feature selection to improve multi-label classification algorithms

L Cui - Journal of King Saud University-Computer and …, 2024 - Elsevier
One of the crucial pre-processing stages in data mining and machine learning is feature
selection, which is used to choose a subset of representative characteristics and decrease …

[HTML][HTML] Delay-Aware resource allocation to increase efficiency over LTE network for M2M communications in a noisy channel

X Wang, RO Yahya - Journal of King Saud University-Computer and …, 2024 - Elsevier
Currently, the predominant source of Internet traffic stems from interpersonal user
interactions, commonly referred to as user-to-user or H. 2. H communications, facilitated …

[HTML][HTML] An efficient approach for multi-label classification based on Advanced Kernel-Based Learning System

MY Saidabad, H Hassanzadeh, SHS Ebrahimi… - Intelligent Systems with …, 2024 - Elsevier
The importance of data quality and quantity cannot be overstated in automatic data analysis
systems. An important factor to take into account is the capability to assign a data item to …

Lightweight Image Encryption Using a Novel Chaotic Technique for the Safe Internet of Things

AMN Gilmolk, MR Aref - International Journal of Computational Intelligence …, 2024 - Springer
Recently, the field of lightweight cryptography (LWC) has emerged in response to the
security needs of low-cost, widely used technology. It is essential to implement an encryption …

Exploitation of healthcare IoT–fog-based smart e-health gateways: a resource optimization approach

B Wen, S Li, H Motevalli - Cluster Computing, 2024 - Springer
In the domains of health and medicine, current technology facilitates the quicker
identification of effective solutions. Smart electronic health networks based on IoT–fog are …