Intrusion detection systems in the cloud computing: A comprehensive and deep literature review

Z Liu, B Xu, B Cheng, X Hu… - … : Practice and Experience, 2022 - Wiley Online Library
Abrupt development of resources and rising expenses of infrastructure are leading
institutions to take on cloud computing. Albeit, the cloud environment is vulnerable to various …

Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm

Y Chen, M Wang, AA Heidari, B Shi, Z Hu… - Expert Systems with …, 2022 - Elsevier
Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …

Fault-tolerant load balancing in cloud computing: A systematic literature review

V Mohammadian, NJ Navimipour… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, cloud computing is growing daily and has been developed as an effective and
flexible paradigm in solving large-scale problems. It has been known as an Internet-based …

Spiral Gaussian mutation sine cosine algorithm: framework and comprehensive performance optimization

W Zhou, P Wang, AA Heidari, X Zhao… - Expert Systems with …, 2022 - Elsevier
Abstract Sine Cosine Algorithm (SCA), as a recently viral population-based meta-heuristic,
which is in the extensive application for a variety of optimization cases. Regardless of the …

Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures

S Wu, AA Heidari, S Zhang, F Kuang… - Artificial Intelligence …, 2023 - Springer
The slime mould algorithm (SMA) is a new meta-heuristic algorithm recently proposed. The
algorithm is inspired by the foraging behavior of polycephalus slime moulds. It simulates the …

Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree

R Costache, A Arabameri, H Moayedi… - Geocarto …, 2022 - Taylor & Francis
Flash floods pose a major challenge in various regions of the world, causing serious
damage to life and property. Here we investigated the Izvorul Dorului river basin from …

Advanced orthogonal learning and Gaussian barebone hunger games for engineering design

X Zhou, W Gui, AA Heidari, Z Cai… - Journal of …, 2022 - academic.oup.com
The hunger games search (HGS) algorithm is a recently proposed population-based
optimization algorithm that mimics a common phenomenon of animals searching for food …

Explicit time embedding based cascade attention network for information popularity prediction

X Sun, J Zhou, L Liu, W Wei - Information Processing & Management, 2023 - Elsevier
Predicting information cascade popularity is a fundamental problem in social networks.
Capturing temporal attributes and cascade role information (eg, cascade graphs and …

[HTML][HTML] How can we use artificial intelligence for stock recommendation and risk management? A proposed decision support system

RMD Gonzales, CA Hargreaves - International Journal of Information …, 2022 - Elsevier
Background Decision-making in the stock market is convoluted as it requires significant
trading experience and knowledge. Faced with a huge range of stocks, investors in the stock …

Optimal management of reactive power considering voltage and location of control devices using artificial bee algorithm

H Shokouhandeh, S Latif, S Irshad… - Applied Sciences, 2021 - mdpi.com
Reactive power compensation is one of the practical tools that can be used to improve
power systems and reduce costs. These benefits are achieved when the compensators are …