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Found 17 papers, 1 papers with code
An Advanced Certain Trust Model Using Fuzzy Logic and Probabilistic Logic theory
The linguistic variables are defined for both T and P and then these variables are implemented in our laboratory to verify the proposed trust model.
Cryptography and Security
Solving Linear Equations by Classical Jacobi-SR Based Hybrid Evolutionary Algorithm with Uniform Adaptation Technique
In this paper, a new hybrid algorithm is proposed in which uniform adaptive evolutionary computation techniques and classical Jacobi based SR technique are used instead of classical Gauss-Seidel based SR technique.
Automatic Fingerprint Recognition Using Minutiae Matching Technique for the Large Fingerprint Database
Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system.
For Solving Linear Equations Recombination is a Needless Operation in Time-Variant Adaptive Hybrid Algorithms
Also the proposed modified algorithms require less amount of computational time in comparison to the corresponding existing hybrid algorithms.
Evolutionary Design of Digital Circuits Using Genetic Programming
This graph-based evolutionary design of arithmetic circuits is a method of optimized designing of arithmetic circuits.
A New Distributed Evolutionary Computation Technique for Multi-Objective Optimization
In DNESA, the server distributes the total computation load to all associate clients and simulation results show that the time for solving large problems is much less than sequential EAs.
On Appropriate Selection of Fuzzy Aggregation Operators in Medical Decision Support System
Thus this work illustrates how the choice of aggregation operators is intended to mimic human decision making and can be selected and adjusted to fit empirical data, a series of test cases.
Corpus-based Web Document Summarization using Statistical and Linguistic Approach
Single document summarization generates summary by extracting the representative sentences from the document.
An Approach to Solve Linear Equations Using a Time-Variant Adaptation Based Hybrid Evolutionary Algorithm
Recently, hybridization of evolutionary algorithm with classical Gauss-Seidel based Successive Over Relaxation (SOR) method has successfully been used to solve large number of linear equations; where a uniform adaptation (UA) technique of relaxation factor is used.
Solving Linear Equations Using a Jacobi Based Time-Variant Adaptive Hybrid Evolutionary Algorithm
In the both above hybrid evolutionary methods, uniform adaptation (UA) techniques are used to adapt relaxation factor.
An Improved ACS Algorithm for the Solutions of Larger TSP Problems
Solving large traveling salesman problem (TSP) in an efficient way is a challenging area for the researchers of computer science.
A Fuzzy Logic Based Certain Trust Model for E-Commerce
Most of the present trust models are subjective and have failed to account vagueness and ambiguity of different domain.
On Integrating Fuzzy Knowledge Using a Novel Evolutionary Algorithm
Fuzzy systems may be considered as knowledge-based systems that incorporates human knowledge into their knowledge base through fuzzy rules and fuzzy membership functions.
On Comparison between Evolutionary Programming Network-based Learning and Novel Evolution Strategy Algorithm-based Learning
This paper presents two different evolutionary systems - Evolutionary Programming Network (EPNet) and Novel Evolutions Strategy (NES) Algorithm.
Capturing and Recognizing Objects Appearance Employing Eigenspace
This paper presents a method of capturing objects appearances from its environment and it also describes how to recognize unknown appearances creating an eigenspace.
Attack and Anomaly Detection in IoT Sensors in IoT Sites Using Machine Learning Approaches
The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN).
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture
This paper proposes a method to estimate road boundaries in different environments with deep learning-based semantic segmentation, and without any predefined road markings.
