[PDF][PDF] Intelligent classification of liver disorder using fuzzy neural system
In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System
(FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are …
(FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are …
[PDF][PDF] Fuzzy neural system application to differential diagnosis of erythemato-squamous diseases
BACKGROUND/AIMS In medicine, one of the most important applications of intelligent
systems is the fuzzy neural network (FNN) framework, which can be used in the diagnosis …
systems is the fuzzy neural network (FNN) framework, which can be used in the diagnosis …
Integrated artificial intelligence algorithm for skin detection
The detection of skin colour has been a useful and renowned technique due to its wide
range of application in both analyses based on diagnostic and human computer …
range of application in both analyses based on diagnostic and human computer …
Reconstruction of convolutional neural network for sign language recognition
This paper presents a Sign Language translation model using Convolutional Neural
Networks (CNN). A sign language is a language which allows mute and hearing-impaired …
Networks (CNN). A sign language is a language which allows mute and hearing-impaired …
A Comprehensive Review of Virtual E-Learning System Challenges
JB Idoko, J Palmer - Machine Learning and the Internet of Things in …, 2023 - Springer
The development of advanced smart electronic devices and application in the twenty-first
century has made the World Wide Web a learning platform and easy dissemination of …
century has made the World Wide Web a learning platform and easy dissemination of …
[PDF][PDF] Intelligent machine learning algorithms for colour segmentation
Skin colour detection has been a commendable technique due to its wide range of
application in both analyses based on diagnostic and human computer interactions. Various …
application in both analyses based on diagnostic and human computer interactions. Various …
Automated image annotation based on YOLOv3
P Tumas, A Serackis - 2018 IEEE 6th Workshop on Advances …, 2018 - ieeexplore.ieee.org
A typical pedestrian protection system requires sophisticated hardware and robust detection
algorithms. To solve these problems the existing systems use hybrid sensors where mono …
algorithms. To solve these problems the existing systems use hybrid sensors where mono …
The effectiveness of a new classification system in higher education as a new e-learning tool
Y Kirsal Ever, K Dimililer - Quality & Quantity, 2018 - Springer
Computers and portable devices are employed in all phases of todays world, and many
large collections of materials are available electronically. These developments have created …
large collections of materials are available electronically. These developments have created …
Vehicle detection and tracking using machine learning techniques
More than two decades machine learning techniques have been applied in multidisciplinary
fields in order to find more accurate, efficient and effective solutions. This research tries to …
fields in order to find more accurate, efficient and effective solutions. This research tries to …
The Emerging Benefits of Gamification Techniques
JB Idoko - Machine Learning and the Internet of Things in …, 2023 - Springer
Academic institutes, health institutions, and other companies utilize a variety of methods and
processes in the improvement of their services, hence improving the experience of their …
processes in the improvement of their services, hence improving the experience of their …