[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) …

Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments

M Abd Elaziz, L Abualigah, I Attiya - Future Generation Computer Systems, 2021 - Elsevier
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 …

Improved Salp swarm algorithm for solving single-objective continuous optimization problems

BH Abed-Alguni, D Paul, R Hammad - Applied Intelligence, 2022 - Springer
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 …

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) …

A real-time DC faults diagnosis in a DC ring microgrid by using derivative current based optimal weighted broad learning system

K Anjaiah, SR Pattnaik, PK Dash, R Bisoi - Applied Soft Computing, 2023 - Elsevier
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 …

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 …

Noise suppression and edge preservation for low-dose COVID-19 CT images using NLM and method noise thresholding in shearlet domain

M Diwakar, P Singh, C Swarup, E Bajal, M Jindal… - Diagnostics, 2022 - mdpi.com
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 …

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 …

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 …

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 …