[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 …

[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 …

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 …

An efficient algorithm for optimal route node sensing in smart tourism Urban traffic based on priority constraints

X Ding, R Yao, E Khezri - Wireless Networks, 2023 - Springer
The public transportation system is now dealing with a number of problems brought on by
the sharp increase in automobile ownership in cities as well as the buildup of vehicles as a …

Cancer detection in breast cells using a hybrid method based on deep complex neural network and data mining

L Yang, S Peng, RO Yahya, L Qian - Journal of Cancer Research and …, 2023 - Springer
Introduction Diagnosis of cancer in breast cells is an important and vital issue in the field of
medicine. In this context, the use of advanced methods such as deep complex neural …

Classification of cancer cells and gene selection based on microarray data using MOPSO algorithm

MR Rahimi, D Makarem, S Sarspy, SA Mahdavi… - Journal of Cancer …, 2023 - Springer
Purpose Microarray information is crucial for the identification and categorisation of
malignant tissues. The very limited sample size in the microarray has always been a …

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 …

A novel method for routing in underwater wireless sensor networks to increase efficiency based on IoT

A Yao, J Chen - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
A subset of wireless sensor networks, known as underwater wireless sensor networks
(UWSNs), have been established in recent decades at varying depths (the surface, floor …

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 …