fuzzy-rule-based system with chaotic swarm intelligence for multiclassification of pain perception from fmri (Anter Corporation)
90
Structured Review
Anter Corporation
fuzzy-rule-based system with chaotic swarm intelligence for multiclassification of pain perception from fmri
Fuzzy Rule Based System With Chaotic Swarm Intelligence For Multiclassification Of Pain Perception From Fmri, supplied by Anter Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fuzzy-rule-based+system+with+chaotic+swarm+intelligence+for+multiclassification+of+pain+perception+from+fmri/fuzzy+rule+based+system+with+chaotic+swarm+intelligence+for+multiclassification+of+pain+perception+from+fmri/10__1109_slash_jbhi__2023__3237875-362-13-3
Average 90 stars, based on 1 article reviews
Fuzzy Rule Based System With Chaotic Swarm Intelligence For Multiclassification Of Pain Perception From Fmri, supplied by Anter Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fuzzy-rule-based+system+with+chaotic+swarm+intelligence+for+multiclassification+of+pain+perception+from+fmri/fuzzy+rule+based+system+with+chaotic+swarm+intelligence+for+multiclassification+of+pain+perception+from+fmri/10__1109_slash_jbhi__2023__3237875-362-13-3
Average 90 stars, based on 1 article reviews
fuzzy-rule-based system with chaotic swarm intelligence for multiclassification of pain perception from fmri - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: Smart Low Level Laser Therapy System for Automatic Facial Dermatological Disorder Diagnosis Article Snippet: Computer-aided diagnosis using dermoscopy images is a promising technique for improving the efficiency of facial skin disorder diagnosis and treatment.. Hence, in this study, we propose a low-level laser therapy (LLLT) system with a deep neural network and medical internet of things (MIoT) assistance.. The main contributions of this study are to (1) provide a comprehensive hardware and software design for an automatic phototherapy system, (2) propose a modified-U2Net deep learning model for facial dermatological disorder segmentation, and (3) develop a synthetic data generation process for the proposed models to address the issue of the limited and imbalanced dataset. |