Interpreting black-box models: a review on explainable artificial intelligence

V Hassija, V Chamola, A Mahapatra, A Singal… - Cognitive …, 2024 - Springer
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …

A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy

L Xia, DT Semirumi, R Rezaei - Sustainable Cities and Society, 2023 - Elsevier
With the increasing use of artificial intelligence (AI) and the Internet of Things (IoTs), it is
crucial to acknowledge the potential security and privacy issues that arise from these …

[HTML][HTML] Analytical study of nonlinear models using a modified Schrödinger's equation and logarithmic transformation

C Zhu, SA Idris, MEM Abdalla, S Rezapour, S Shateyi… - Results in Physics, 2023 - Elsevier
Optical solitons are special waves that maintain their shape while traveling. Hence, solitary
optical waves have great significance when it comes to representing pulse propagation …

Network anomaly detection and security defense technology based on machine learning: A review

R Liu, J Shi, X Chen, C Lu - Computers and Electrical Engineering, 2024 - Elsevier
Robust solutions are essential for protecting complex network systems in the constantly
changing cybersecurity scenario. This investigation examines the role of machine learning …

Abundant optical solitons to the (2+ 1)-dimensional Kundu-Mukherjee-Naskar equation in fiber communication systems

B Ghanbari, D Baleanu - Optical and Quantum Electronics, 2023 - Springer
Abstract The Kundu-Mukherjee-Naskar equation holds significant relevance as a nonlinear
model for investigating intricate wave phenomena in fluid and optical systems. This study …

[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 …

Analyzing the Performance of Millimeter Wave MIMO Antenna under Different Orientation of Unit Element

T Islam, FN Alsunaydih, F Alsaleem, K Alhassoon - Micromachines, 2023 - mdpi.com
In this paper, a compact and simplified geometry monopole antenna with high gain and
wideband is introduced. The presented antenna incorporates a microstrip feedline and a …

Generative ai for cyber security: Analyzing the potential of chatgpt, dall-e and other models for enhancing the security space

S Sai, U Yashvardhan, V Chamola, B Sikdar - IEEE Access, 2024 - ieeexplore.ieee.org
This research paper intends to provide real-life applications of Generative AI (GAI) in the
cybersecurity domain. The frequency, sophistication and impact of cyber threats have …

Towards intrusion detection in fog environments using generative adversarial network and long short-term memory network

A Qu, Q Shen, G Ahmadi - Computers & Security, 2024 - Elsevier
Recently, fog computing has been developed to complement cloud computing, which can
provide cloud services at the edge of the network with real-time processing. However, the …

Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential …

G Wang, A Mukhtar, H Moayedi, N Khalilpoor, Q Tt - Energy, 2024 - Elsevier
Residential uses a significant amount of energy; hence, encouraging sustainability and
lessening environmental effects requires minimizing energy consumption in this sector. This …