AIMC Topic: Fuzzy Logic

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Fuzzy Inspired Deep Belief Network for the Traffic Flow Prediction in Intelligent Transportation System Using Flow Strength Indicators.

Big data
Intelligent transportation system (ITS) is an advance leading edge technology that aims to deliver innovative services to different modes of transport and traffic management. Traffic flow prediction (TFP) is one of the key macroscopic parameters of t...

The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms.

Accident; analysis and prevention
In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was revised with the C4.5 decision tree (DT) algorithm, were applied to the classification of cyclist injury-severity in bicycle-vehicle accidents. The study aims to...

Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation.

Sensors (Basel, Switzerland)
The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability...

Fuzzy-based self organizing aggregation method for swarm robots.

Bio Systems
Fuzzy-based self-organizing aggregation method was suggested in the present study for swarm robots. In the suggested method, Swarm robots evaluate their limited sensor input via rules of fuzzy logic and display aggregation behavior with the suggested...

Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel.

Environmental monitoring and assessment
Presence of copper within water bodies deteriorates human health and degrades natural environment. This heavy metal in water is treated using a promising biochar derived from rambutan (Nephelium lappaceum) peel through slow pyrolysis. This research c...

Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation.

PloS one
Participatory modelling is an emerging approach in the decision-making process through which stakeholders contribute to the representation of the perceived causal linkages of a complex system. The use of fuzzy cognitive maps (FCMs) for participatory ...

Homogeneous DNA-only keypad locks enable one-pot assay of multi-inputs.

Chemical communications (Cambridge, England)
Homogeneous DNA-only keypad locks were built with multi-stranded scalable junction substrates and a series of double-stranded eliminators to differentially process correctly- and wrongly-added DNA inputs, respectively. Unlike conventional strategies ...

Prototype of Robotic Device for Mobility Assistance for the Elderly in Urban Environments.

Sensors (Basel, Switzerland)
This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of the elderly in urban environments. Among the achievements presented are the control techniques used for autonomous navigation and the software tools an...

Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India.

PloS one
A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation index (SPI). Multiple scales of drought information at six meteorological stations located in ...

Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Computer methods in biomechanics and biomedical engineering
Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coronary Artery Disease (CAD) is the most common type of cardiovascular disease. Coronary Angiography, which is an invasive approach for detection and tre...