Journal of Artificial Intelligence and Systems最新文献_第3页

Analyzing the Carro Pipa Operation with Geointelligence Techniques 用地球情报技术分析Carro Pipa行动

Journal of Artificial Intelligence and Systems Pub Date : 1900-01-01 DOI: 10.33969/ais.2023050101

Aloísio Vieira, L. Neto, Elias Paulino Medeiros, Filipe Maciel de Moura, Jose Wally, Mendonça Menezes, S. Jagatheesaperumal, Victor Hugo, C. Albuquerque

引用次数: 0

Fuzzy Inference System Modelling of the Mascarenes Anticyclone center Trajectory 马斯卡林反气旋中心轨迹的模糊推理系统建模

Journal of Artificial Intelligence and Systems Pub Date : 1900-01-01 DOI: 10.33969/ais.2023050103

Georgines Jacobsen Rasoarinirina, Harimino Andriamalala Rajaonarisoa, I. P. Ramahazosoa, A. Ratiarison, Georgines Jacobsen, Rasoarinirina, Harimino Andriamalala, I. P. Rajaonarisoa, Ramahazosoa

引用次数: 0

The Legalhood of Artificial Intelligence: AI Applications as Energy Services 人工智能的合法性:作为能源服务的人工智能应用

Journal of Artificial Intelligence and Systems Pub Date : 1900-01-01 DOI: 10.33969/AIS.2021.31006

Lambrini Seremeti, I. Kougias

引用次数: 0

Deep Learning Algorithms based Fingerprint Authentication: Systematic Literature Review 基于深度学习算法的指纹认证:系统文献综述

Journal of Artificial Intelligence and Systems Pub Date : 1900-01-01 DOI: 10.33969/ais.2021.31010

H. Chiroma

{"title":"Deep Learning Algorithms based Fingerprint Authentication: Systematic Literature Review","authors":"H. Chiroma","doi":"10.33969/ais.2021.31010","DOIUrl":"https://doi.org/10.33969/ais.2021.31010","url":null,"abstract":"Deep Learning algorithms (DL) have been applied in different domains such as computer vision, image detection, robotics and speech processing, in most cases, DL demonstrated better performance than the conventional machine learning algorithms (shallow algorithms). The artificial intelligence research community has leveraged the robustness of the DL because of their ability to process large data size and handle variations in biometric data such as aging or expression problem. Particularly, DL research in automatic fingerprint recognition system (AFRS) is gaining momentum starting from the last decade in the area of fingerprint pre-processing, fingerprints quality enhancement, fingerprint feature extraction, security of fingerprint and performance improvement of AFRS. However, there are limited studies that address the application of DL to model fingerprint biometric for different tasks in the fingerprint recognition process. To bridge this gap, this paper presents a systematic literature review and an insightful meta-data analysis of a decade applications of DL in AFRS. Discussion on proposed model’s tasks, state of the art study, dataset, and training architecture are presented. The Convolutional Neural Networks models were the most saturated models in developing fingerprint biometrics authentication. The study revealed different roles of the DL in training architecture of the models: feature extractor, classifier and end-to-end learning. The review highlights open research challenges and present new perspective for solving the challenges in the future. The author believed that this paper will guide researchers in propose novel fingerprint authentication scheme.","PeriodicalId":273028,"journal":{"name":"Journal of Artificial Intelligence and Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An Improved Fuzzy Inventory Model Under Two Warehouses 一种改进的两库模糊库存模型

Journal of Artificial Intelligence and Systems Pub Date : 1900-01-01 DOI: 10.33969/ais.2021.31008

A. Malik, Harish Garg

引用次数: 5