[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models
In this research, we propose an intelligent decision support system for skin cancer detection.
Since generating an effective lesion representation is a vital step to ensure the success of …
Since generating an effective lesion representation is a vital step to ensure the success of …
Intelligent skin cancer detection using enhanced particle swarm optimization
In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
Feature selection using firefly optimization for classification and regression models
In this research, we propose a variant of the Firefly Algorithm (FA) for discriminative feature
selection in classification and regression models for supporting decision making processes …
selection in classification and regression models for supporting decision making processes …
Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks
In this research, we propose a variant of the Particle Swarm Optimization (PSO) algorithm,
namely hybrid learning PSO (HLPSO), for skin lesion segmentation and classification …
namely hybrid learning PSO (HLPSO), for skin lesion segmentation and classification …
Predicting green consumption behaviors of students using efficient firefly grey wolf-assisted K-nearest neighbor classifiers
H Tang, Y Xu, A Lin, AA Heidari, M Wang, H Chen… - Ieee …, 2020 - ieeexplore.ieee.org
Understanding the green consumption behaviors of college students is highly demanded to
update the public and educational policies of universities. For this purpose, this research is …
update the public and educational policies of universities. For this purpose, this research is …
[HTML][HTML] Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks
Automatic segmentation of salient objects in real-world images has gained increasing
interests owing to its popularity in diverse real-world applications, such as autonomous …
interests owing to its popularity in diverse real-world applications, such as autonomous …
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models
In this research, we propose Particle Swarm Optimization (PSO)-enhanced ensemble deep
neural networks for optic disc (OD) segmentation using retinal images. An improved PSO …
neural networks for optic disc (OD) segmentation using retinal images. An improved PSO …
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization
Automatic interpretation of human actions from realistic videos attracts increasing research
attention owing to its growing demand in real-world deployments such as biometrics …
attention owing to its growing demand in real-world deployments such as biometrics …
Sound classification using evolving ensemble models and Particle Swarm Optimization
Automatic sound classification attracts increasing research attention owing to its vast
applications, such as robot navigation, environmental sensing, musical instrument …
applications, such as robot navigation, environmental sensing, musical instrument …