Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Automatic speech recognition: Systematic literature review
A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …
years. In particular, there has been increasing interest in the automatic speech recognition …
Risk analysis of health, safety and environment in chemical industry integrating linguistic FMEA, fuzzy inference system and fuzzy DEA
Organizations are continuously endeavoring to provide a healthy work environment without
any incident, by Health, Safety, and Environment (HSE) management. As most of the …
any incident, by Health, Safety, and Environment (HSE) management. As most of the …
Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification
This paper presents a systematic review of the literature and the classification of fuzzy logic
application in an infectious disease. Although the emergence of infectious diseases and …
application in an infectious disease. Although the emergence of infectious diseases and …
Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey
Q Jiang, X Zhou, R Wang, W Ding, Y Chu, S Tang… - Applied Soft …, 2022 - Elsevier
Infectious diseases usually have the characteristics of rapid spread with a large impact
range. Once they break out, they will cause a large area of infection, which creates …
range. Once they break out, they will cause a large area of infection, which creates …
Fuzzy entropy metrics for the analysis of biomedical signals: Assessment and comparison
Fuzzy entropy (FuzEn) was introduced to alleviate limitations associated with sample
entropy (SampEn) in the analysis of physiological signals. Over the past decade, FuzEn …
entropy (SampEn) in the analysis of physiological signals. Over the past decade, FuzEn …
Bio-inspired predictive models for shear strength of reinforced concrete beams having steel stirrups
In this article, three bio-inspired predictive models are proposed with the aim of estimating
the shear capacity of reinforced concrete (RC) beams having steel stirrups. For this purpose …
the shear capacity of reinforced concrete (RC) beams having steel stirrups. For this purpose …
Speech recognition using HMM and Soft Computing
RK Srivastava, D Pandey - Materials Today: Proceedings, 2022 - Elsevier
The region of speech acknowledgment is one of the fascinating fields with regard to speech
signal handling. Accomplishing precision and strength is an extremely troublesome …
signal handling. Accomplishing precision and strength is an extremely troublesome …
Non-invasive silent speech recognition in multiple sclerosis with dysphonia
A Kapur, U Sarawgi, E Wadkins, M Wu… - … Learning for Health …, 2020 - proceedings.mlr.press
We present the first non-invasive real-time silent speech system that helps patients with
speech disorders to communicate in natural language voicelessly, merely by articulating …
speech disorders to communicate in natural language voicelessly, merely by articulating …
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility
This paper enhances dysarthric and dysphonic speech recognition by fine-tuning pretrained
automatic speech recognition (ASR) models on the 2023-10-05 data package of the Speech …
automatic speech recognition (ASR) models on the 2023-10-05 data package of the Speech …