Community detection algorithms in healthcare applications: a systematic review
Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …
Comprehensive overview of flood modeling approaches: A review of recent advances
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions
MA Dulebenets - Swarm and Evolutionary Computation, 2023 - Elsevier
The economic development of numerous countries is defined by maritime supply chains to a
great extent. Substantial volumes of containerized cargoes delivered by ships are handled …
great extent. Substantial volumes of containerized cargoes delivered by ships are handled …
A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources
Water resource management is a complex engineering problem, due to the stochastic
nature of inflow, various demands and environmental flow downstream. With the increase in …
nature of inflow, various demands and environmental flow downstream. With the increase in …
Predicting body fat using a novel fuzzy-weighted approach optimized by the whale optimization algorithm
Z Fan, J Gou - Expert Systems with Applications, 2023 - Elsevier
Obesity, termed as excessive body fat, is a major public health problem. Being able to
accurately predict body fat percentage provides an opportunity for making appropriate …
accurately predict body fat percentage provides an opportunity for making appropriate …
A review on community detection in large complex networks from conventional to deep learning methods: A call for the use of parallel meta-heuristic algorithms
Complex networks (CNs) have gained much attention in recent years due to their
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
importance and popularity. The rapid growth in the size of CNs leads to more difficulties in …
Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization
Recent advances in data-driven approaches using the machine learning (ML) method have
enabled the discovery of high-performance materials. This paper presents a hybrid …
enabled the discovery of high-performance materials. This paper presents a hybrid …
Constraint-induced symmetric nonnegative matrix factorization for accurate community detection
As a fundamental characteristic of an undirected network, community reveals its networking
organization and functional mechanisms, making community detection be a highly …
organization and functional mechanisms, making community detection be a highly …
A strategy based on wave swarm for the formation task inspired by the traveling salesman problem
RD Lamperti, LVR de Arruda - Engineering Applications of Artificial …, 2023 - Elsevier
Multi-robots can perform complex tasks such as exploration, foraging, and formation.
Efficient communication between robots can contribute to the accomplishment of collective …
Efficient communication between robots can contribute to the accomplishment of collective …
[HTML][HTML] A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks
This paper proposes a simulation study to solve the optimal allocation of the Battery Energy
Storage System (BESS) problem in distribution networks. The effect of BESS's installation in …
Storage System (BESS) problem in distribution networks. The effect of BESS's installation in …