[HTML][HTML] A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
Skin cancer is a significant health risk that requires early detection for effective treatment.
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …
AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions
Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …
learning and machine learning techniques used for diagnosing skin cancer. While …
[HTML][HTML] Artificial intelligent control of energy management PV system
Renewable energy systems, such as photovoltaic (PV) systems, have become increasingly
significant in response to the pressing concerns of climate change and the imperative to …
significant in response to the pressing concerns of climate change and the imperative to …
Cutaneous oncology: Strategies for melanoma prevention, diagnosis, and therapy
Skin cancer comprises one-third of all diagnosed cancer cases and remains a major health
concern. Genetic and environmental parameters serve as the two main risk factors …
concern. Genetic and environmental parameters serve as the two main risk factors …
Classification of human skin cancer using Stokes-Mueller decomposition method and artificial intelligence models
A hybrid framework consisting of the Stokes-decomposition method and various artificial
intelligence (AI) models is proposed for classifying human melanoma and nonmelanoma …
intelligence (AI) models is proposed for classifying human melanoma and nonmelanoma …
An improved CNN architecture to diagnose skin cancer in dermoscopic images based on wildebeest herd optimization algorithm
B Zhou, B Arandian - Computational Intelligence and …, 2021 - Wiley Online Library
Skin cancer is one of the most common types of cancers that is sometimes difficult for
doctors and experts to diagnose. The noninvasive dermatoscopic method is a popular …
doctors and experts to diagnose. The noninvasive dermatoscopic method is a popular …
An optimized method for skin cancer diagnosis using modified thermal exchange optimization algorithm
L Wei, SX Pan, YA Nanehkaran… - … Methods in Medicine, 2021 - Wiley Online Library
Skin cancer is the most common cancer of the body. It is estimated that more than one
million people worldwide develop skin cancer each year. Early detection of this cancer has a …
million people worldwide develop skin cancer each year. Early detection of this cancer has a …
A machine learning approach for the recognition of melanoma skin cancer on macroscopic images
J Hurtado, F Reales - … Computing Electronics and Control), 2021 - telkomnika.uad.ac.id
In the last years, computer vision systems for the detection of skin cancer have being
proposed, specially using machine learning techniques for the classification of the disease …
proposed, specially using machine learning techniques for the classification of the disease …
[PDF][PDF] Application of artificial neural network in sizing a stand-alone photovoltaic system: a review
Artificial Neural Network (ANN) techniques are becoming useful in the current era due to the
vast development of the current computer technologies. ANN has been used in various …
vast development of the current computer technologies. ANN has been used in various …
The design of a smart home controller based on ADALINE
This paper proposes a prototype of an improved smart home controller that implements a
neural network-based algorithm for enabling the controller to make decisions and act based …
neural network-based algorithm for enabling the controller to make decisions and act based …