At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives

A Bourechak, O Zedadra, MN Kouahla, A Guerrieri… - Sensors, 2023 - mdpi.com
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

Applications of artificial intelligence in power system operation, control and planning: a review

U Pandey, A Pathak, A Kumar, S Mondal - Clean Energy, 2023 - academic.oup.com
As different artificial intelligence (AI) techniques continue to evolve, power systems are
undergoing significant technological changes with the primary goal of reducing …

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

RM Adnan, RR Mostafa, O Kisi, ZM Yaseen… - Knowledge-Based …, 2021 - Elsevier
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …

WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems

A Seyyedabbasi - Advances in Engineering Software, 2022 - Elsevier
In recent years, researchers have been focused on solving optimization problems in order to
determine the global optimum. Increasing the dimension of a problem increases its …

Diagnosis of Parkinson's disease based on SHAP value feature selection

Y Liu, Z Liu, X Luo, H Zhao - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
To address the problem of high feature dimensionality of Parkinson's disease medical data,
this paper introduces SHapley Additive exPlanations (SHAP) value for feature selection of …

Application of neural network in metal adsorption using biomaterials (BMs): a review

A Nighojkar, K Zimmermann, M Ateia… - Environmental …, 2023 - pubs.rsc.org
With growing environmental consciousness, biomaterials (BMs) have garnered attention as
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …

Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review

BD Ravichandran, P Keikhosrokiani - Neural Computing and Applications, 2023 - Springer
The spread of Covid-19 misinformation on social media had significant real-world
consequences, and it raised fears among internet users since the pandemic has begun …

Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer

ET Elkabbash, RR Mostafa, SI Barakat - PloS one, 2021 - journals.plos.org
Smartphone usage is nearly ubiquitous worldwide, and Android provides the leading open-
source operating system, retaining the most significant market share and active user …

Internet of Medical Things (IoMT) and Reflective Belief Design‐Based Big Data Analytics with Convolution Neural Network‐Metaheuristic Optimization Procedure …

A Sampathkumar, M Tesfayohani… - Computational …, 2022 - Wiley Online Library
In recent times, the Internet of Medical Things (IoMT) is a new loomed technology, which has
been deliberated as a promising technology designed for various and broadly connected …

Genetic neuro-computing model for insights on membrane performance in oily wastewater treatment: An integrated experimental approach

J Usman, SI Abba, NB Ishola, T El-Badawy… - … Research and Design, 2023 - Elsevier
In this study, response surface methodology (RSM) and artificial neural network-based
genetic algorithm (ANN-GA) were utilized to predict two crucial output parameters of …