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Effective Selection of Entities From Heterogeneous and Large Resources Using a Cooperative Neuro-Fuzzy System
This paper focuses on using the cooperative neuro-fuzzy system for the effective and customised selection of entities from large and heterogeneous resources by presenting a general architecture. An experiment is carried out with...
Published by: IGI Global
Hybrid Computational Intelligence System for Fashion Design
Priti Sajja
Sep 01, 2021
The domain of fashion design evolves continuously and is highly personalised, demanding intelligent and customised recommendation. The traditional artificial intelligence-based systems offer solutions based on stored knowledge;...
Published by: IGI Global
Hybrid Genetic Fuzzy System for Modeling Consumer Behavior
Priti Sajja
Jan 01, 2022
Understanding consumer behavior is beneficial to a business in various aspects such as prediction of manufacturing quantity, new product launch, and aids in lock-in customers and lock-out competitors. The task is highly complex...
Published by: IGI Global
A Blockchain-Based Distributed Authentication System for Healthcare
The use of digital health records, stricter health laws and the growing need for health records exchange points towards the need for an efficient security and privacy preserving mechanism. For Health Insurance management...
Published by: IGI Global
Brain Tumor Detection Based on Multilevel 2D Histogram Image Segmentation Using DEWO Optimization Algorithm
Brain tumor detection from magnetic resonance (MR)images is a tedious task but vital for early prediction of the disease which until now is solely based on the experience of medical practitioners. Multilevel image segmentation...
Published by: IGI Global
Using Transfer Learning and Hierarchical Classifier to Diagnose Melanoma From Dermoscopic Images
The deadliest form of skin cancer is melanoma, and if detected in time, it is curable. Detection of melanoma using biopsy is a painful and time-consuming task. Alternate means are being used by medical experts to diagnose...
Published by: IGI Global
Brain Tumor Detection Based on Multilevel 2D Histogram Image Segmentation Using DEWO Optimization Algorithm
Brain tumor detection from magnetic resonance (MR)images is a tedious task but vital for early prediction of the disease which until now is solely based on the experience of medical practitioners. Multilevel image segmentation...
Medical, Healthcare, and Life Sciences Medical Diagnosis and Practice Medical Imaging Computer Science and Information Technology Media and Communications
Published by: IGI Global