[HTML][HTML] Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election …
Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …
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
Motivated by the nonlinear behavior of composite materials under different machining
operations, this work aims at developing an optimized artificial intelligence model to predict …
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
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 …
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 …
range of applications across consumer, scientific, and commercial sectors, operating on a …
Enhanced efficiency in fog computing: A fuzzy data-driven machine selection strategy
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 …
devices, handling incoming requests has become a significant challenge. Task scheduling …
Energy Efficient Resource Allocation in Cloud Environment Using Metaheuristic Algorithm
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 …
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 …
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 …
variety and number of workflow module applications and expanding computing resources …
RUCIB: a novel rule-based classifier based on BRADO algorithm
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 …
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 …
quality and experience. The growing demand for cloud-based services has led to the …