An Optimized Approach to Vehicle-Type Classification Using a Convolutional Neural Network

作     者：Shabana Habib Noreen Fayyaz Khan 

作者机构：Department of Information TechnologyCollege of ComputerQassim UniversityBuraidah51452Saudi Arabia Department of Computer ScienceIslamia College UniversityPeshawarPakistan 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第69卷第12期

页      面：3321-3335页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work is supported by the Information Technology Department College of Computer Qassim University 6633 Buraidah 51452 Saudi Arabia 

主　　题：Machine learning intelligent data management similarities of process models structural metrics dataset graph edit distance process matching artificial intelligence 

摘      要：There are numerous application areas of computing similarity between process *** includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process *** similarity between two process models is computed based on their similarity between labels,structures,and execution *** attempts have been made to develop similarity techniques between activity labels,as well as their execution ***,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between ***,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural *** that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the ***,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label ***,we have evaluated the proposed approach using our generated collection of process models.