[HTML][HTML] Generative adversarial network: An overview of theory and applications
In recent times, image segmentation has been involving everywhere including disease
diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one …
diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one …
[HTML][HTML] An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
Diabetes is a dreadful disease identified by escalated levels of glucose in the blood.
Machine learning algorithms help in identification and prediction of diabetes at an early …
Machine learning algorithms help in identification and prediction of diabetes at an early …
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …
information technology industry's rapid development. Smart healthcare uses next-generation …
A deep survey on supervised learning based human detection and activity classification methods
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
A hierarchical three-step superpixels and deep learning framework for skin lesion classification
Skin cancer is one of the most common and dangerous cancer that exists worldwide.
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Image segmentation using deep learning techniques in medical images
Nowadays, medical field is a one with a need for paramount concern and research where
medical sciences are at a stage that needs extensive research and technical proposals so …
medical sciences are at a stage that needs extensive research and technical proposals so …
Progressive task-based universal network for raw infrared remote sensing imagery ship detection
Infrared remote sensing images are becoming increasingly popular due to their superior
penetration and resistance to light interference. However, challenges still remain when …
penetration and resistance to light interference. However, challenges still remain when …
Algorithmic analysis for dental caries detection using an adaptive neural network architecture
S Patil, V Kulkarni, A Bhise - Heliyon, 2019 - cell.com
Objectives AI techniques have lifelong impact in biomedics and widely accepted outcomes.
The sole objective of the study is to evaluate accurate detection of caries using feature …
The sole objective of the study is to evaluate accurate detection of caries using feature …
Stock price prediction using artificial neural model: an application of big data
In recent time, stock price prediction is an area of profound interest in the realm of fiscal
market. To predict the stock prices, authors have proposed a technique by first calculating …
market. To predict the stock prices, authors have proposed a technique by first calculating …
Mixed pixel decomposition based on extended fuzzy clustering for single spectral value remote sensing images
The presence of mixed pixels in remote sensing images is the major issue for accurate
classification. In this paper, we have focused on two aspects of mixed pixel problem: firstly …
classification. In this paper, we have focused on two aspects of mixed pixel problem: firstly …