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Found 17 papers, 0 papers with code
Smart Traffic Management of Vehicles using Faster R-CNN based Deep Learning Method
This problem is addressed in four steps viz minimization with adaptive background model, Faster R-CNN based subnet operation, Faster R-CNN initial refinement and result optimization with extended topological active nets.
Detecting Vehicle Type and License Plate Number of different Vehicles on Images
The proposed system uses a unique mixture consisting of Mask R-CNN model for vehicle type detection, WpodNet and pytesseract for License Plate detection and Prediction of letters in it.
Predictive Maintenance for Industrial IoT of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine
Connected vehicle fleets are deployed worldwide in several industrial IoT scenarios.
An Epsilon Hierarchical Fuzzy Twin Support Vector Regression
The research presents epsilon hierarchical fuzzy twin support vector regression based on epsilon fuzzy twin support vector regression and epsilon twin support vector regression.
Fuzzy Mixed Integer Optimization Model for Regression Approach
In this Paper, Fuzzy Mixed Integer Optimization Method (FMIOM) is used to find solution to Regression problem.
Fuzzy Mixed Integer Linear Programming for Air Vehicles Operations Optimization
The optimal minimum time performance of these tasks requires cooperation among vehicles such that critical time constraints are satisfied i. e. target must be classified before it can be attacked and AV is sent to target area to verify its destruction after target has been attacked.
Support Vector Machine Model for Currency Crisis Discrimination
Use of kernel function enables curse of dimensionality to be addressed.
Fuzzy Integer Linear Programming Mathematical Models for Examination Timetable Problem
The techniques are also compared with different Artificial Intelligence based heuristics for ETP with respect to best and mean cost as well as execution time measures on Carter benchmark datasets to illustrate its effectiveness.
A Comparative study of Transportation Problem under Probabilistic and Fuzzy Uncertainties
In particular, application of this Problem in NP- Hard Problems has a remarkable significance.
Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression
They are then defuzzified by the centre of area method to obtain crisp regression coefficients in the second phase.
Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks
The paradigm is thus used to develop a rule extraction algorithm.
Trapezoidal Fuzzy Numbers for the Transportation Problem
The multivalued nature of Fuzzy Sets allows handling of uncertainty and vagueness involved in the cost values of each cells in the transportation table.
Solution of Rectangular Fuzzy Games by Principle of Dominance Using LR-type Trapezoidal Fuzzy Numbers
The solution of such Fuzzy games with pure strategies by minimax-maximin principle is discussed.
A Dynamic Algorithm for the Longest Common Subsequence Problem using Ant Colony Optimization Technique
We present a dynamic algorithm for solving the Longest Common Subsequence Problem using Ant Colony Optimization Technique.
Solution of System of Linear Equations - A Neuro-Fuzzy Approach
To the best of our knowledge this is the first work of the Systems of Linear Algebraic Equations using Neuro-Fuzzy Modeling.
Solution of the Decision Making Problems using Fuzzy Soft Relations
The Fuzzy Modeling has been applied in a wide variety of fields such as Engineering and Management Sciences and Social Sciences to solve a number Decision Making Problems which involve impreciseness, uncertainty and vagueness in data.
