International journal of artificial intelligence & applications最新文献_第8页

A Novel Feature Engineering Framework in Digital Advertising Platform 一种新的数字广告平台特征工程框架

International journal of artificial intelligence & applications Pub Date : 2019-07-31 DOI: 10.5121/IJAIA.2019.10403

Saeid Soheily-Khah, Yiming Wu

引用次数: 2

MIXTURES OF TRAINED REGRESSION CURVESMODELS FOR HANDRITTEN ARABIC CHARACTER RECOGNITION 混合训练回归曲线模型用于手写阿拉伯字符识别

International journal of artificial intelligence & applications Pub Date : 2019-05-30 DOI: 10.5121/IJAIA.2019.10305

Abdullah A. Al-Shaher

引用次数: 1

MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION 基于多层次特征融合的迁移学习用于人的再识别

International journal of artificial intelligence & applications Pub Date : 2019-05-30 DOI: 10.5121/IJAIA.2019.10302

Yingzhi Chen, Tianqi Yang

{"title":"MULTI-LEVEL FEATURE FUSION BASED TRANSFER LEARNING FOR PERSON RE-IDENTIFICATION","authors":"Yingzhi Chen, Tianqi Yang","doi":"10.5121/IJAIA.2019.10302","DOIUrl":"https://doi.org/10.5121/IJAIA.2019.10302","url":null,"abstract":"Most of the currently known methods treat person re-identification task as classification problem and used commonly neural networks. However, these methods used only high-level convolutional feature or to express the feature representation of pedestrians. Moreover, the current data sets for person reidentification is relatively small. Under the limitation of the number of training set, deep convolutional networks are difficult to train adequately. Therefore, it is very worthwhile to introduce auxiliary data sets to help training. In order to solve this problem, this paper propose a novel method of deep transfer learning, and combines the comparison model with the classification model and multi-level fusion of the convolution features on the basis of transfer learning. In a multi-layers convolutional network, the characteristics of each layer of network are the dimensionality reduction of the previous layer of results, but the information of multi-level features is not only inclusive, but also has certain complementarity. We can using the information gap of different layers of convolutional neural networks to extract a better feature expression. Finally, the algorithm proposed in this paper is fully tested on four data sets (VIPeR, CUHK01, GRID and PRID450S). The obtained re-identification results prove the effectiveness of the algorithm.","PeriodicalId":93188,"journal":{"name":"International journal of artificial intelligence & applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42815244","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: 0

A SURVEY ON DIFFERENT MACHINE LEARNING ALGORITHMS AND WEAK CLASSIFIERS BASED ON KDD AND NSL-KDD DATASETS 基于KDD和nsl-kdd数据集的不同机器学习算法和弱分类器综述

International journal of artificial intelligence & applications Pub Date : 2019-05-30 DOI: 10.5121/IJAIA.2019.10301

Rama Devi Ravipati, Munther Abualkibash

引用次数: 6

A COMPARATIVE ANALYSIS OF DIFFERENT FEATURE SET ON THE PERFORMANCE OF DIFFERENT ALGORITHMS IN PHISHING WEBSITE DETECTION 不同特征集的比较分析不同算法在钓鱼网站检测中的性能

International journal of artificial intelligence & applications Pub Date : 2019-05-30 DOI: 10.5121/IJAIA.2019.10304

H. Musa, Bala Modi, Ismail Abdulkarim Adamu, Ali Ahmad Aminu, H. Adamu, Yahaya Ajiya

引用次数: 4

Modelling of Intelligent Agents Using A–Prolog 基于A-Prolog的智能体建模

International journal of artificial intelligence & applications Pub Date : 2019-03-31 DOI: 10.5121/IJAIA.2019.10205

Fernando Zacaŕias, Rosalba Cuapa, Luna Jimenez, N. Vazquez

引用次数: 5

Extractive Summarization with Very Deep Pretrained Language Model 基于超深度预训练语言模型的提取式摘要

International journal of artificial intelligence & applications Pub Date : 2019-03-31 DOI: 10.5121/IJAIA.2019.10203

Yang Gu, Yanke Hu

引用次数: 7

An Obnoxious Lacuna on Discourses and Counter Discourses Over Artificial Intelligence 关于人工智能的对话和反对话的令人讨厌的拉卡纳

International journal of artificial intelligence & applications Pub Date : 2019-03-31 DOI: 10.5121/IJAIA.2019.10202

Atindra Dahal

{"title":"An Obnoxious Lacuna on Discourses and Counter Discourses Over Artificial Intelligence","authors":"Atindra Dahal","doi":"10.5121/IJAIA.2019.10202","DOIUrl":"https://doi.org/10.5121/IJAIA.2019.10202","url":null,"abstract":"Artificial intelligence is the highest form of human development and sound outcome of human conscience till the date. But the very development seems to be devastating to human future ahead and has been heavily projected accordingly. More than it may be to decay and destroy the world, the negative and chilling views on the prospective damages of AI that scholars are percolating to public are costing many times on humans; and that is plunging human mindset into irreparable pessimism and negativity. This article explores the way that AI is being depressingly explored and investigated to browbeat public. In addition, this write-up highlights the serious lacuna, which the advanced academic engagement has still grossly failed to fill up, of a great deal in course of mainstreaming views and discussions for noble cause of human development and societal well-belling . Further, it unmasks the dire need in making constructive, encouraging and optimistic mind-set building academic pursuits and writings then makes an alarming call to the all prominent scholars to engage with due compliance of it\u0000\u0000Method and Hypothesis\u0000As a doctrinal qualitative research based on extensive survey of secondary data and literature, methodologically, with adoption of paradigm of descriptive interpretation, this research hypothesizes that the discussions and discourses over AI are biased, hold a serious lacuna thus need to be reconstructed to make it balanced and build better world than to browbeat people.","PeriodicalId":93188,"journal":{"name":"International journal of artificial intelligence & applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5121/IJAIA.2019.10202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42160018","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: 1

Multi-Agent Based Smart Metering and Monitoring of Power Distribution System: An Extended Framework 基于多Agent的配电系统智能计量与监控：一个扩展框架

International journal of artificial intelligence & applications Pub Date : 2019-01-31 DOI: 10.5121/IJAIA.2019.10107

M. Ahmed, Bala Modi, S. Oladejo

引用次数: 0

A Case Study of Research Improvements in an Service Industry Upgrading the Knowledge Base of the Information System and the Process Management: Data Flow Automation, Association Rules and Data Mining 服务业研究改进:信息系统知识库升级与流程管理:数据流自动化、关联规则与数据挖掘

International journal of artificial intelligence & applications Pub Date : 2019-01-31 DOI: 10.5121/IJAIA.2019.10103

A. Massaro, Palo Lisco, A. Lombardi, A. Galiano, Nicola Savino

{"title":"A Case Study of Research Improvements in an Service Industry Upgrading the Knowledge Base of the Information System and the Process Management: Data Flow Automation, Association Rules and Data Mining","authors":"A. Massaro, Palo Lisco, A. Lombardi, A. Galiano, Nicola Savino","doi":"10.5121/IJAIA.2019.10103","DOIUrl":"https://doi.org/10.5121/IJAIA.2019.10103","url":null,"abstract":"In this paper is analyzed a case study of an upgrade of an industry communication system developed by following ‘Frascati’ research guidelines. The goal of the proposed model is to enhance the industry knowledge Base –KB- by acting directly on information communication system improvements and data system integration, enabling automated process and data processing. The paper follow all the steps performed during the project development: the preliminary data infrastructure design, the information infrastructure improvements, and data processing. Data processing is performed by a calculus engine embedding data mining association rules and Artificial Neural Network –ANN- predictive algorithms thus improving the research. The calculus engine has been implemented by a multiple variables model where the contract data are preliminary processed in order to define functions classifying the operation processes and activating automatically the service process management. The business intelligence –BI- operations are performed mainly by the calculus engine optimizing industry performances. The goal of the paper is to show how research and development –R&D- can be applied by gaining and optimizing the knowledge and processes of an Italian industry working in car services. The project has been developed with the collaboration of the industry ACI Global working in roadside assistance services. By means of a research project resources, the information technology –IT- infrastructure has been improved by new solutions of the communication system and of the data transfer. The proposed case of study provides a model and a guideline to follow in order to apply research in industry acting directly on data and information network.","PeriodicalId":93188,"journal":{"name":"International journal of artificial intelligence & applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5121/IJAIA.2019.10103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47076834","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: 10