Quantum Mayfly optimization with encoder-decoder driven LSTM networks for malware detection and classification model

OA Alzubi, JA Alzubi, TM Alzubi, A Singh - Mobile Networks and …, 2023 - Springer
Malware refers to malicious software developed to penetrate or damage a computer system
without any owner's informed consent. It uses target system susceptibilities, like bugs in …

The use of computational geometry techniques to resolve the issues of coverage and connectivity in wireless sensor networks

S Devi, A Sangwan, A Sangwan, MA Mohammed… - Sensors, 2022 - mdpi.com
Wireless Sensor Networks (WSNs) enhance the ability to sense and control the physical
environment in various applications. The functionality of WSNs depends on various aspects …

A high-reliability edge-side mobile terminal shared computing architecture based on task triple-stage full-cycle monitoring

B Ju, Y Liu, L Song, G Gan, Z Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm for addressing the challenges of
latency, bandwidth, and energy consumption in the era of big data and the intelligent …

Fog computing resource-scheduling strategy in IoT based on artificial bee colony algorithm

W Liu, C Li, A Zheng, Z Zheng, Z Zhang, Y Xiao - Electronics, 2023 - mdpi.com
As the amount of data input increases, fog devices on IoT edge networks become
increasingly inefficient. However, a well-designed fog computing resource-scheduling …

Multi‐objective metaheuristic optimization‐based clustering with network slicing technique for Internet of Things‐enabled wireless sensor networks in 5G systems

BG Sheena, N Snehalatha - Transactions on Emerging …, 2023 - Wiley Online Library
Presently, 5G communication networks have become successful in achieving maximum data
rage, and different Internet of Things (IoT) and wireless sensor networks (WSN) have been …

Distributed neurodynamic optimization for multi-energy management with time-varying external disturbances considering time-varying emission limitations and load …

W Li, H Wang, X He - ISA transactions, 2023 - Elsevier
An emerging time-varying distributed multi-energy management problem (MEMP)
considering time-varying load and emission limitations for resisting time-varying external …

Short-term energy consumption prediction of electric vehicle charging station using attentional feature engineering and multi-sequence stacked Gated Recurrent Unit

J Zheng, J Zhu, H Xi - Computers and Electrical Engineering, 2023 - Elsevier
Energy consumption prediction is critical to intelligent power dispatching and smart grid
optimization. However, the task remains challenging due to big data fluctuation and the low …

Blockchain socket factories with RMI-enabled framework for fine-grained healthcare applications

S Ahmed, A Lakhan, O Thinnukool, P Khuwuthyakorn - Sensors, 2022 - mdpi.com
The usage of digital and intelligent healthcare applications on mobile devices has grown
progressively. These applications are generally distributed and access remote healthcare …

A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics

C Li, Z Zhou, L Hou, K Hu, Z Wu, Y Xie… - Computers in Biology …, 2024 - Elsevier
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and
small cell lung cancer. Of these, NSCLC accounts for approximately 85% of all cases and …

[HTML][HTML] An advanced kernel search optimization for dynamic economic emission dispatch with new energy sources

R Dong, L Sun, Z Cai, AA Heidari, L Liu… - International Journal of …, 2024 - Elsevier
Integrating renewable energy sources, such as wind and photovoltaic power generation,
into the power grid is crucial for sustainable power system development and mitigating …