Proceedings of the 3rd International Conference on Advances in Artificial Intelligence最新文献

Security Improvement in Mobile Banking Using Hybrid Authentication 使用混合认证提高移动银行的安全性

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369151

Milad Joudaki Zadeh, H. Barati

引用次数: 2

An Ensemble Method with Cost Function on Churn Prediction 基于成本函数的客户流失预测集成方法

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369135

M. K. Awang, M. Makhtar, M. A. Mohamed

{"title":"An Ensemble Method with Cost Function on Churn Prediction","authors":"M. K. Awang, M. Makhtar, M. A. Mohamed","doi":"10.1145/3369114.3369135","DOIUrl":"https://doi.org/10.1145/3369114.3369135","url":null,"abstract":"Accurate customer churn classification is vital in any business organisation due to the higher cost involved in getting new customers. In telecommunication businesses, companies have used various types of single classifiers to classify customer churn, but the classification accuracy is still relatively low. However, the classification accuracy can be improved by integrating decisions from multiple classifiers through an ensemble method. Despite having the ability to produce higher classification accuracy, the ensemble method tends to produce similar or redundant classifiers. Therefore, this paper aims to achieve higher classification accuracy and at the same time, minimising ensemble classifiers by constructing a new ensemble method based on dimensionality reduction in soft set theory. The combination of ensemble classifier is calculated based on the simple majority voting algorithm. The performance measure used in determining the optimal subset of classifiers is the combination of Accuracy (ACC), True Negative Rate (TNR) and True Positive Rate (TPR). The proposed soft set ensemble methods (SSPN and SSSC) are systematically evaluated using customer churn data set taken from one of the local Telco companies in Malaysia. The selection and combination algorithm (SSSC) has proven its supremacy by producing accuracy (ACC) of 87.0% for local Telco data set and 94.0% for UCI data set, which is better than any other single classifier. This work proved that the proposed soft ensemble method could search for the minimum number of classifiers in the ensemble repository while at the same time improving the classification performance. In conclusion, the proposed soft ensemble method not only reduces the number of members of the ensemble but is also able to produce the highest classification accuracy.","PeriodicalId":262468,"journal":{"name":"Proceedings of the 3rd International Conference on Advances in Artificial Intelligence","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392283","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

Laughter Classification Using 3D Convolutional Neural Networks 使用3D卷积神经网络进行笑声分类

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369142

Faramarz Ataollahi, M. Suarez

引用次数: 2

A Novel Fishing Finder Technique Based on VMS Data in Indonesia 一种基于印尼VMS数据的新型寻鱼技术

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369161

P. Yugopuspito, Samuel Lukas, I. M. Murwantara, Steven Albert, Hery

{"title":"A Novel Fishing Finder Technique Based on VMS Data in Indonesia","authors":"P. Yugopuspito, Samuel Lukas, I. M. Murwantara, Steven Albert, Hery","doi":"10.1145/3369114.3369161","DOIUrl":"https://doi.org/10.1145/3369114.3369161","url":null,"abstract":"Indonesian waters are very wide and have very high fisheries potential. This clearly benefits the Indonesian fishing industry. Tuna is a primary trading commodity in this industry, but catching this fish is not easy. In addition, the movement of tuna follows the pattern of changes in Earth's temperature, so determining its position clearly requires adequate equipment. The original purpose of Vessel Monitoring System (VMS) is for enforcement and control of vessel sailing. In this paper, we use VMS to find the position of tuna to reduce fishing costs for Indonesia tuna fishermen such as fuel and labor costs. This study does three things. Firstly, conduct tracking modeling of the movements of each type of fishing vessel in Indonesian waters, and use cross-reference with weather data and earth conditions, then filtering the data for fishing tuna vessel only. Secondly, develop visualization techniques resulting from algorithms by programming Python Dash. Finally, develop fish position prediction techniques using the Machine Learning ensemble by Support Vector Machine technology. It concludes that system can predict the location of tuna correctly 97.6%.","PeriodicalId":262468,"journal":{"name":"Proceedings of the 3rd International Conference on Advances in Artificial Intelligence","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121539032","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: 2

Inter Session Communication in a Reactive Web Application for the IoT System 物联网系统响应式Web应用程序中的会话间通信

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369154

Soetrisno, Frans Panduwinata, P. Yugopuspito

引用次数: 0

Any Angle Path Finding in Stochastic Obstacle Scenes 随机障碍场景中的任意角度寻径

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369140

Ufuk Aslan, A. F. Alkaya, Serkan Yildirim, V. Aksakalli

引用次数: 0

Comparing the Behaviour of Human Face Capturing Attention of Autistic & Normal Developing Children Using Eye Tracking Data Analysis Approach 用眼动追踪数据分析方法比较自闭症与正常发育儿童的人脸捕捉行为

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369122

M. B. Almourad, Emad Bataineh

引用次数: 5

Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning 启发式优化技术在机器人路径规划中的性能比较研究

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369138

Mohammed Baziyad, A. B. Nassif, T. Rabie, R. Fareh

引用次数: 5

Automatic Recognition and Classification of Granite Tiles Using Convolutional Neural Networks (CNN) 基于卷积神经网络的花岗岩瓷砖自动识别与分类

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369124

M. A. Iqbal, Babar Khan, Zhijie Wang, Guangxiao Song

{"title":"Automatic Recognition and Classification of Granite Tiles Using Convolutional Neural Networks (CNN)","authors":"M. A. Iqbal, Babar Khan, Zhijie Wang, Guangxiao Song","doi":"10.1145/3369114.3369124","DOIUrl":"https://doi.org/10.1145/3369114.3369124","url":null,"abstract":"In recent years, the manual recognition and classification of natural stones have become a multifaceted challenge due to the similar patterns and visual appearance. Therefore in the current study, a robust and more effective system has been developed for an automatic classification of natural stones i.e. granite tiles using the Convolutional Neural Networks (CNNs). This approach is based on fine-tuning pre-trained networks such as AlexNet and VGGNet. The techniques of data augmentation such as reflection and rotation are incorporated to reduce the probability of overfitting. Efforts have been made to distinguish the performance of training from scratch and fine-tuning pre-trained models. It is observed that the classification, based on CNNs incorporating color and texture both at the same time, is highly reliable, effective and better than the other conventional methods using visual features separately. The research findings also demonstrated that transfer learning based on fine-tuning a network produced better results in accuracy for the classification task of granite tiles.","PeriodicalId":262468,"journal":{"name":"Proceedings of the 3rd International Conference on Advances in Artificial Intelligence","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123613611","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: 5

PAPR Reduction Based on Genetic Algorithm for PTS Wavelet-OFDM Systems 基于遗传算法的PTS小波ofdm系统PAPR降低

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence Pub Date : 2019-10-26 DOI: 10.1145/3369114.3369144

Sameh A. Fathy, M. El-Mahallawy, S. Gasser, E. Hagras

引用次数: 2