A robust interclass and intraclass loss function for deep learning based tongue segmentation
The fast and robust segmentation of tongue images is a prerequisite to achieve automatic
tongue diagnosis in traditional Chinese medicine. In order to assist tongue diagnosis in real …
tongue diagnosis in traditional Chinese medicine. In order to assist tongue diagnosis in real …
Hybridising cuckoo search algorithm for extracting the ODF maxima in spherical harmonic representation
The diffusion-weighted magnetic resonance imaging (DW-MRI) is a promising method for
non-invasive investigation of anatomical connectivity in the human brain. Q-ball imaging …
non-invasive investigation of anatomical connectivity in the human brain. Q-ball imaging …
Enhanced gorilla troops optimizer powered by marine predator algorithm: global optimization and engineering design
This study presents an advanced metaheuristic approach termed the Enhanced Gorilla
Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to …
Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to …
Metaheuristic assisted hybrid classifier for bitcoin price prediction
R Gupta, JE Nalavade - Cybernetics and Systems, 2023 - Taylor & Francis
Bitcoin has recently been greatly regarded as an investment asset. It is incredibly
unpredictable despite being the biggest digital currency. Therefore, accurate forecasting is …
unpredictable despite being the biggest digital currency. Therefore, accurate forecasting is …
A novel bat algorithm with double mutation operators and its application to low-velocity impact localization problem
Q Liu, J Li, L Wu, F Wang, W Xiao - Engineering Applications of Artificial …, 2020 - Elsevier
The low-velocity impact localization in the plate structure of the ship is a critical problem
which can be considered as a nonlinear optimization problem. The bat algorithm (BA) has …
which can be considered as a nonlinear optimization problem. The bat algorithm (BA) has …
[HTML][HTML] Eagle perching optimizer for the online solution of constrained optimization
The paper proposes a novel nature-inspired optimization technique called Eagle Perching
Optimizer (EPO). It is an addition to the family of swarm-based meta-heuristic algorithms. It …
Optimizer (EPO). It is an addition to the family of swarm-based meta-heuristic algorithms. It …
An iterative transfer learning framework for cross‐domain tongue segmentation
Tongue diagnosis is an important clinical examination in Traditional Chinese Medicine. As
the first step of the diagnosis, the accuracy of tongue image segmentation directly affects the …
the first step of the diagnosis, the accuracy of tongue image segmentation directly affects the …
Analyses of inverted generational distance for many-objective optimisation algorithms
Inverted generational distance is a widely used indicator for evaluating many-objective
optimisation algorithms. In the past several years, numerous researchers have paid much …
optimisation algorithms. In the past several years, numerous researchers have paid much …
Techno-economic green optimization of electrical microgrid using swarm metaheuristics
K Guerraiche, L Dekhici, E Chatelet, A Zeblah - Energies, 2023 - mdpi.com
In electrical power engineering, elements such as reliability analysis, modeling, and
optimization for complex systems are of the utmost importance. Although there exist myriad …
optimization for complex systems are of the utmost importance. Although there exist myriad …
[PDF][PDF] Nature Inspired Algorithms multi-objective histogram equalization for Grey image enhancement
AN Ismael, MA Abd, HA Abd - Advances in Computer …, 2020 - faculty.uobasrah.edu.iq
Nature Inspired Algorithms multi-objective histogram equalization for Grey image enhancement
Page 1 Nature Inspired Algorithms multi-objective histogram equalization for Grey image …
Page 1 Nature Inspired Algorithms multi-objective histogram equalization for Grey image …