[HTML][HTML] Recent advances in utility of artificial intelligence towards multiscale colloidal based materials design
AA Moud - Colloid and Interface Science Communications, 2022 - Elsevier
Colloidal material design necessitates a collection of computer approaches ranging from
quantum chemistry to molecular dynamics and continuum modeling. Machine learning (ML) …
quantum chemistry to molecular dynamics and continuum modeling. Machine learning (ML) …
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
Improved Salp swarm algorithm for solving single-objective continuous optimization problems
Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …
Performance optimization of annealing salp swarm algorithm: Frameworks and applications for engineering design
J Song, C Chen, AA Heidari, J Liu… - Journal of …, 2022 - academic.oup.com
Swarm salp algorithm is a swarm intelligence optimization algorithm enlightened by the
movement and foraging behaviors of the salp population. The salp swarm algorithm (SSA) …
movement and foraging behaviors of the salp population. The salp swarm algorithm (SSA) …
A real-time DC faults diagnosis in a DC ring microgrid by using derivative current based optimal weighted broad learning system
This paper presents a novel approach for DC faults diagnosis in renewables based DC-ring
microgrid (DC-RM). The proposed novel approach consists of a second-order derivative …
microgrid (DC-RM). The proposed novel approach consists of a second-order derivative …
Marine predators social group optimization: a hybrid approach
A Naik - Evolutionary Intelligence, 2024 - Springer
Numerous heuristic and metaheuristic algorithms inspired by nature have been developed
so far. These algorithms have demonstrated their excellence in resolving challenging …
so far. These algorithms have demonstrated their excellence in resolving challenging …
Noise suppression and edge preservation for low-dose COVID-19 CT images using NLM and method noise thresholding in shearlet domain
In the COVID-19 era, it may be possible to detect COVID-19 by detecting lesions in scans, ie,
ground-glass opacity, consolidation, nodules, reticulation, or thickened interlobular septa …
ground-glass opacity, consolidation, nodules, reticulation, or thickened interlobular septa …
An improved salp swarm algorithm for complex multi-modal problems
D Bairathi, D Gopalani - Soft Computing, 2021 - Springer
In this paper, improved salp swarm algorithm is proposed. The algorithm integrates (1)
random opposition-based learning (2) multiple leadership and (3) simulated annealing in …
random opposition-based learning (2) multiple leadership and (3) simulated annealing in …
Hysteresis compensation and adaptive control based evolutionary neural networks for piezoelectric actuator
NN Son, C Van Kien, HPH Anh - International Journal of …, 2021 - Wiley Online Library
This manuscript introduces a new adaptive inverse neural (AIN) control method applied to
precisely track the piezoelectric (PZT) actuator displacement. First, a 3‐layer neural network …
precisely track the piezoelectric (PZT) actuator displacement. First, a 3‐layer neural network …
Pet dog facial expression recognition based on convolutional neural network and improved whale optimization algorithm
Y Mao, Y Liu - Scientific Reports, 2023 - nature.com
Pet dogs are our good friends. Realizing the dog's emotions through the dog's facial
expressions is beneficial to the harmonious coexistence between human beings and pet …
expressions is beneficial to the harmonious coexistence between human beings and pet …