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Ant colony optimization algorithm for image edge detection
Authors: Thi Huyen Thuong Ho
34    31
: 1     : 28-29
: NCKH_1087_20241126092125.pdf
Publishing year: 10/2024
The Ant Colony Optimization (ACO) algorithm can be applied to various combinatorial optimization problems involving large datasets. This article explores the application of the ACO algorithm in image edge detection, investigating and proposing algorithms for common edge detection methods.
Ant colony optimization algorithm, Ant Colony Optimization (ACO), Ant System (AS), TSP, Ant Colony System (ACS).
Some positive teaching methods approach to CDIO’s training programINTRODUCTION OF SOME RULES OPTIMIZING SQL COMMANDSSelecting SQL Server or MYSQL database management system for information systemsUsing CVX software to solve the convex optimization problemAPPLYING PROJECT TEACHING IN TEACHING THE DATABASE ANAGEMENT SYSTEM MODULE ACCORDING TO THE CDIO APPROACHTEACHING THE DATABASE MANAGEMENT SYSTEM MODULE ACCORDING TO THE PRACTICAL TEACHING METHOD FOR STUDENTS OF VINH UNIVERSITYAPPLYING DESIGN THINKING IN TEACHING THE DATABASE MANAGEMENT SYSTEM MODULE ACCORDING TO THE CDIO APPROACH AT VINH UNIVERSITY A SIMPLE DESIGN OF WATER-BASED BROADBAND METAMATERIAL ABSORBER FOR BROADBAND THZ APPLICATIONSMETAL-DIELECTRIC PHASE TRANSITION OF VO2 ASSISTED BROADBAND AND HIGH-EFFICIENCY BIFUNCTIONAL METASURFACE IN THE TERAHERTZ FREQUENCYRESEARCHING DEEP LEARNING TECHNIQUESIN FACE RECOGNITION APPLICATION TECHNIQUES FOR LANGUAGE RECOGNITIONRESEARCH AND EVALUATE SOME CLASSIFICATION ALGORITHMS ON THE GAME DATASET CARO A SIMPLE DESIGN OF BROADBAND CROSS-POLARIZATION CONVERTER FOR THE THz FREQUENCY RANGESUPPORT VECTOR MACHINES CLASSIFICATION TECHNIQUE IN SPEECH RECOGNITION