AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Fuzzy Logic

Showing 521 to 530 of 1463 articles

Clear Filters

Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System.

Sensors (Basel, Switzerland)
Considering that the population is aging rapidly, the demand for technology for aging-at-home, which can provide reliable, unobtrusive monitoring of human activity, is expected to expand. This research focuses on improving the solution of the posture...

Solar radiation and solar energy estimation using ANN and Fuzzy logic concept: A comprehensive and systematic study.

Environmental science and pollution research international
To overcome the need of the world for energy consumption, we have to find some better and stable alternate ways of renewable energy with advanced technology. The most readily available source of energy is solar energy but solar energy has nonlinear n...

Stabilization of Interval Type-2 Fuzzy-Based Reliable Sampled-Data Control Systems.

IEEE transactions on cybernetics
This article investigates the stabilization problem of the Takagi-Sugeno (T-S) fuzzy-based interval type-2 (IT-2) reliable sampled-data control system. Different from the existing studies, the information for the entire sampling interval with a relat...

Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm.

BMC molecular and cell biology
BACKGROUND: Image segmentation is considered an important step in image processing. Fuzzy c-means clustering is one of the common methods of image segmentation. However, this method suffers from drawbacks, such as sensitivity to initial values, entra...

Research on Robot Fuzzy Neural Network Motion System Based on Artificial Intelligence.

Computational intelligence and neuroscience
An intelligent controller based on a self-learning interval type-II fuzzy neural network is proposed to make the motion controller of the industrial intelligent robot with good adaptability. This controller has a parallel structure and contains an in...

CVDF DYNAMIC-A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm.

Sensors (Basel, Switzerland)
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and complex path detection ability. Fuzzy testing sample generation is the key step of fuzzy testing, and the quality of sample directly determines the vulner...

Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter.

PloS one
Routing protocols for underwater wireless sensor networks (UWSN) and underwater Internet of Things (IoT_UWSN) networks have expanded significantly. DBR routing protocol is one of the most critical routing protocols in UWSNs. In this routing protocol,...

Novel Decision-Making Techniques in Tripolar Fuzzy Environment with Application: A Case Study of ERP Systems.

Computational intelligence and neuroscience
The intuitionistic fuzzy set (IFS) and bipolar fuzzy set (BFS) are all effective models to describe ambiguous and incomplete cognitive knowledge with membership, non-membership, negative membership, and hesitancy sections. But in daily life problems,...

Clean energy selection for sustainable development by using entropy-based decision model with hesitant fuzzy information.

Environmental science and pollution research international
Smart cities development is an ambitious project launched in India in 2015 with around 14 billion USD. Smart city mission program primarily aimed at reducing the carbon footprint and encouraging green and sustainable practices. Under this context, cl...

Machine Learning Techniques for Increasing Efficiency of the Robot's Sensor and Control Information Processing.

Sensors (Basel, Switzerland)
Real-time systems are widely used in industry, including technological process control systems, industrial automation systems, SCADA systems, testing, and measuring equipment, and robotics. The efficiency of executing an intelligent robot's mission i...