[HTML][HTML] Increasing efficiency for routing in internet of things using binary gray wolf optimization and fuzzy logic

Z Wang, Z Jin, Z Yang, W Zhao, M Trik - Journal of King Saud University …, 2023 - Elsevier
In the field of information and communication technology, the Internet of Things is regarded
as a brand-new and important technology. The introduction of new protocols in this area is …

A new adaptive selection strategy for reducing latency in networks on chip

M Trik, H Akhavan, AM Bidgoli, AMNG Molk, H Vashani… - Integration, 2023 - Elsevier
Networks on chips (NoCs) are a concept inspired by computer networks for constructing
multiprocessor systems that can handle communication across processing cores. One of the …

Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare

M Samiei, A Hassani, S Sarspy, IE Komari… - Journal of Cancer …, 2023 - Springer
Background and objectives Skin conditions in humans can be challenging to diagnose. Skin
cancer manifests itself without warning. In the future, these illnesses, which have been an …

[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 …

A novel approach to reduce video traffic based on understanding user demand and D2D communication in 5G networks

G Wang, J Wu, M Trik - IETE Journal of Research, 2023 - Taylor & Francis
Mobile network customers today prefer video news updates than text. However, the
conventional cellular base stations may have challenges in simultaneously managing video …

An ensemble hierarchical clustering algorithm based on merits at cluster and partition levels

Q Huang, R Gao, H Akhavan - Pattern Recognition, 2023 - Elsevier
Ensemble clustering has emerged as a combination of several basic clustering algorithms to
achieve high quality final clustering. However, this technique is challenging due to the …

[PDF][PDF] 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] 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 …

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 …

Noninvasive grading of glioma brain tumors using magnetic resonance imaging and deep learning methods

G Song, G Xie, Y Nie, MS Majid, I Yavari - Journal of Cancer Research …, 2023 - Springer
Abstract Purpose Convolutional Neural Networks (ConvNets) have quickly become popular
machine learning techniques in recent years, particularly in the classification and …