Review on cyber-physical and cyber-security system in smart grid: Standards, protocols, constraints, and recommendations

MK Hasan, AKMA Habib, Z Shukur, F Ibrahim… - Journal of network and …, 2023 - Elsevier
The smart grid (SG) system is an intelligent technology that facilitates the integration of
green technology and environmental aspects, which is a two-way communication system for …

Wind, solar, and photovoltaic renewable energy systems with and without energy storage optimization: A survey of advanced machine learning and deep learning …

L Abualigah, RA Zitar, KH Almotairi, AMA Hussein… - Energies, 2022 - mdpi.com
Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

SCSTCF: spatial-channel selection and temporal regularized correlation filters for visual tracking

J Zhang, W Feng, T Yuan, J Wang, AK Sangaiah - Applied Soft Computing, 2022 - Elsevier
Recently, combining multiple features into discriminative correlation filters to improve
tracking representation has shown great potential in object tracking. Existing trackers apply …

Evaluating the performance of various algorithms for wind energy optimization: a hybrid decision-making model

A Ala, A Mahmoudi, S Mirjalili, V Simic… - Expert Systems with …, 2023 - Elsevier
Wind resource is one of the most promising renewable energy, which has become a suitable
replacement for fossil fuels. Optimizing the transferring wind energy from a wind turbine is …

Efficient city supply chain management through spherical fuzzy dynamic multistage decision analysis

M Riaz, HMA Farid, C Jana, M Pal, B Sarkar - Engineering Applications of …, 2023 - Elsevier
The objective of this paper is to introduce several dynamic spherical fuzzy aggregation
operators (AOs) for “multi-period decision-making”(MPDM) problems. In these problems …

Human activity recognition in IoHT applications using arithmetic optimization algorithm and deep learning

A Dahou, MAA Al-qaness, M Abd Elaziz, A Helmi - Measurement, 2022 - Elsevier
Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …

A temporal fusion transformer for short-term freeway traffic speed multistep prediction

H Zhang, Y Zou, X Yang, H Yang - Neurocomputing, 2022 - Elsevier
Accurate short-term freeway speed prediction is a key component for intelligent
transportation management and can help travelers plan travel routes. However, very few …

Intelligent forecaster of concentrations (PM2. 5, PM10, NO2, CO, O3, SO2) caused air pollution (IFCsAP)

S Al-Janabi, A Alkaim, E Al-Janabi, A Aljeboree… - Neural Computing and …, 2021 - Springer
Upgrading health reality is the responsibility of all, it is necessary to think about the design of
a smart system based on modern technologies to reduce the time and effort exerted on the …

Development of deep learning method for predicting DC power based on renewable solar energy and multi-parameters function

S Al-Janabi, Z Al-Janabi - Neural Computing and Applications, 2023 - Springer
In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …

[HTML][HTML] An innovative synthesis of optmization techniques (FDIRE-GSK) for generation electrical renewable energy from natural resources

GS Mohammed, S Al-Janabi - Results in Engineering, 2022 - Elsevier
Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Electricity …