Machine learning optimization techniques: a Survey, classification, challenges, and Future Research Issues

K Bian, R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

[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 …

Link prediction in social networks using hyper-motif representation on hypergraph

CY Meng, H Motevalli - Multimedia Systems, 2024 - Springer
Link prediction, a critical pursuit in complex networks research, revolves around the
predictive understanding of connections between nodes. Our novel approach introduces a …

Decision-Making Model Construction of Emergency Material Allocation for Critical Incidents Based on BP Neural Network Algorithm: An Overview

Y Yan - Archives of Computational Methods in Engineering, 2024 - Springer
Effective emergency material allocation is critical for mitigating the impact of critical
incidents. This paper proposes a decision-making model for emergency material allocation …

Power Allocation and Performance Evaluation for NOMA-Aided Integrated Satellite-HAP-Terrestrial Networks Under Practical Limitations

K Guo, H Shuai, K An, F Zhou… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Satellite and high-altitude platform (HAP) are considered as the key parts of the next
generation networks, and specifically for the Internet-of-Things networks, which are utilized …

A new pilot shared method for saving bandwidth cost of OFDM

S Ali, D Zheng, B Jiao - Scientific Reports, 2024 - nature.com
The orthogonal frequency division multiplexing (OFDM) system applies coherent
demodulation to achieve high spectral efficiency at a bandwidth cost by the pilot tones …

Recurrent neural networks-guided vector-valued synchronized key exchange for secure and privacy-preserving communication in Industrial Internet of Things

A Sarkar - Applied Soft Computing, 2024 - Elsevier
This paper presents an innovative approach to the problem of key exchange in the Industrial
Internet of Things (IIoT) implementation. Recurrent Neural Networks (RNNs) and vector …

An intelligent algorithm for energy efficiency optimization in software-defined wireless sensor networks for 5G communications

K Gökhan Nalbant, SA Alsuhibany… - PLOS …, 2024 - journals.plos.org
Wireless communications have lately experienced substantial exploitation because they
provide a lot of flexibility for data delivery. It provides connection and mobility by using air as …

Symbol Error Analysis for Integrated Satellite-Terrestrial Relay Networks with Non-orthogonal Multiple Access under Hardware Impairments

G Xu, Z Zhao, Z Song, Q Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a promising approach to increase spectrum efficiency and user fairness, non-orthogonal
multiple access (NOMA) technique, with strong potential for applications in integrated …

[HTML][HTML] Design of novel microstrip patch antenna for millimeter-wave B5G communications

JJ Tiang, DM Alsekait, I Khan, PC Wang… - Frontiers in …, 2024 - frontiersin.org
Introduction: The simplicity of integration and co-type features of microstrip antennas make
them intriguing for a broad variety of applications, particularly with the growing usage of …