[HTML][HTML] Emerging information and communication technologies for smart energy systems and renewable transition

N Zhao, H Zhang, X Yang, J Yan, F You - Advances in Applied Energy, 2023 - Elsevier
Since the energy sector is the dominant contributor to global greenhouse gas emissions, the
decarbonization of energy systems is crucial for climate change mitigation. Two major …

Symmetrical simulation scheme for anomaly detection in autonomous vehicles based on LSTM model

AA Alsulami, Q Abu Al-Haija, A Alqahtani, R Alsini - Symmetry, 2022 - mdpi.com
Technological advancement has transformed traditional vehicles into autonomous vehicles.
Autonomous vehicles play an important role since they are considered an essential …

Application of artificial intelligence to network forensics: Survey, challenges and future directions

S Rizvi, M Scanlon, J Mcgibney, J Sheppard - Ieee Access, 2022 - ieeexplore.ieee.org
Network forensics focuses on the identification and investigation of internal and external
network attacks, the reverse engineering of network protocols, and the uninstrumented …

Quantum mesh neural network model in precise image diagnosing

S Suneel, A Balaram, M Amina Begum… - Optical and Quantum …, 2024 - Springer
This study introduces QMNN, a quantum mesh neural network model incorporating a
Quantum Neural Network Expectation (QNNE) circuit, and evaluates its performance on …

Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks

GG Gebremariam, J Panda, S Indu - Connection Science, 2023 - Taylor & Francis
Wireless sensor networks (WSNs) are an emerging military and civilian technology that uses
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …

An efficient method for solving router placement problem in wireless mesh networks using multi-verse optimizer algorithm

LH Binh, TK Truong - Sensors, 2022 - mdpi.com
Wireless Mesh Networks (WMNs) are increasingly being used in a variety of applications. To
fully utilize the network resources of WMNs, it is critical to design a topology that provides the …

Energy-efficient wake-up signalling for machine-type devices based on traffic-aware long short-term memory prediction

DE Ruíz-Guirola, CA Rodríguez-López… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Reducing energy consumption is a pressing issue in low-power machine-type
communication (MTC) networks. In this regard, the Wake-up Signal (WuS) technology, which …

[HTML][HTML] Enhanced feature selection method based on regularization and kernel trick for 5G applications and beyond

A Zaki, A Métwalli, MH Aly, WK Badawi - Alexandria Engineering Journal, 2022 - Elsevier
Prediction of wireless channel scenarios is fundamental for modern wireless communication
systems with diverse propagation conditions. Moreover, the type of data extracted from a …

Internet activity forecasting over 5g billing data using deep learning techniques

V Tiwari, C Pandey, DS Roy - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Understanding the flexibility of traffic requirements on wireless networks is challenging due
to the high density of mobile devices connected to the network. This has made things more …

[PDF][PDF] Machine Learning Based Network Traffic Predictive Analysis

PS Ponmalar, A Kamboj, V Shete… - Review of Computer …, 2022 - researchgate.net
Internet traffic has expanded rapidly in the recent decade due to the advent of new
technologies, industries, and applications. Wireless network traffic is growing due to …