[HTML][HTML] Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election …

M Abd Elaziz, ME Zayed, H Abdelfattah… - Alexandria Engineering …, 2024 - Elsevier
Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …

Prediction of milled surface characteristics of carbon fiber-reinforced polyetheretherketone using an optimized machine learning model by gazelle optimizer

W Rajhi, AMM Ibrahim, AHI Mourad, M Boujelbene… - Measurement, 2023 - Elsevier
Motivated by the nonlinear behavior of composite materials under different machining
operations, this work aims at developing an optimized artificial intelligence model to predict …

A solution for resource allocation through complex systems in fog computing for the internet of things

F Faraji, A Javadpour, AK Sangaiah, H Zavieh - Computing, 2024 - Springer
To manage the IoT resources to process the massive amount of collected data in complex
systems, Allocation of tasks to nodes to increase user satisfaction has been noticed by …

A novel approach for energy consumption management in cloud centers based on adaptive fuzzy neural systems

H Huang, Y Wang, Y Cai, H Wang - Cluster Computing, 2024 - Springer
Cloud computing enables global access to tool-based IT services, accommodating a wide
range of applications across consumer, scientific, and commercial sectors, operating on a …

Enhanced efficiency in fog computing: A fuzzy data-driven machine selection strategy

H Zavieh, A Javadpour, F Ja'fari, AK Sangaiah… - International Journal of …, 2024 - Springer
With the rapid proliferation of IoT and Cloud networks and the corresponding number of
devices, handling incoming requests has become a significant challenge. Task scheduling …

Energy Efficient Resource Allocation in Cloud Environment Using Metaheuristic Algorithm

S Singhal, N Gupta, P Berwal, QN Naveed… - IEEE …, 2023 - ieeexplore.ieee.org
Utility-based computing popularly known as “cloud computing” offers several computing
services to the users. Due to the proliferation in the users of cloud computing, there is an …

Enhancing Energy Efficiency in IoT Networks Through Fuzzy Clustering and Optimization

A Javadpour, AK Sangaiah, H Zaviyeh… - Mobile Networks and …, 2023 - Springer
Abstract Wireless Sensor and Internet of Things (WSIoT) networks are characterized by
nodes scattered throughout the environment, posing a significant challenge when it comes …

Integrating asynchronous advantage actor–critic (A3C) and coalitional game theory algorithms for optimizing energy, carbon emissions, and reliability of scientific …

MI Khaleel - Swarm and Evolutionary Computation, 2024 - Elsevier
The growth of workflow as a service (WFaaS) has become more intricate with the increasing
variety and number of workflow module applications and expanding computing resources …

RUCIB: a novel rule-based classifier based on BRADO algorithm

I Morovatian, A Basiri, S Rezaei - Computing, 2024 - Springer
Classification is a widely used supervised learning technique that enables models to
discover the relationship between a set of features and a specified label using available …

Handling hierarchy in cloud data centers: A Hyper-Heuristic approach for resource contention and energy-aware Virtual Machine management

J Zhang, H Yu, G Fan, Z Li, J Xu, J Li - Expert Systems with Applications, 2024 - Elsevier
For cloud data centers, a performant yet energy-efficient operation is critical for service
quality and experience. The growing demand for cloud-based services has led to the …