[HTML][HTML] DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments

E Khezri, RO Yahya, H Hassanzadeh, M Mohaidat… - Results in …, 2024 - Elsevier
Problem statement Nowadays, devices generate copious quantities of high-speed data
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …

A fuzzy decision-making system for video tracking with multiple objects in non-stationary conditions

PS Fakhri, O Asghari, S Sarspy, MB Marand… - Heliyon, 2023 - cell.com
Computer vision remains challenged by tracking multiple objects in motion frames, despite
efforts to improve surveillance, healthcare, and human-machine interaction. This paper …

[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 …

Design and simulation of a new current mirror circuit with low power consumption and high performance and output impedance

Y Li, H Wang, M Trik - Analog Integrated Circuits and Signal Processing, 2024 - Springer
Analog and digital integrated circuit performance has greatly benefited by the shrinking of
semiconductor fabrication technology components. In order to reduce the size of the …

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

M Khosravi, M Trik, A Ansari - The Journal of Engineering, 2024 - Wiley Online Library
The dynamic nature of distribution networks raises fresh issues with how such electrical
systems function. These networks have some characteristics that indicate the need for better …

[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 …

Optimized fuzzy logic based energy-efficient geographical data routing in internet of things

K Aravind, PKR Maddikunta - IEEE Access, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is being the key strategic enabler for realizing the vision of smart
cities by allowing everyday objects to be connected through wireless sensor networks …

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 …

Identifying People's Faces in Smart Banking Systems Using Artificial Neural Networks

L Nosrati, AM Bidgoli, HHS Javadi - International Journal of Computational …, 2024 - Springer
Due to the exponential rise of ICT technologies, the digital banking industry has made
tremendous advancements in user-friendly, effective, and quick financial transactions …

A novel learning-based plst algorithm for multi-label classification

SH Seyed Ebrahimi, K Majidzadeh… - IETE Journal of …, 2023 - Taylor & Francis
In Multi-Label Classification (MLC), each data sample is characterized by multiple labels. In
ML, there is no restriction on the number of classes a data sample could belong to. Various …