{"title":"Automatic Detection of Stop Words for Texts in Uzbek Language","authors":"Khabibulla Madatov, Shukurla Bekchanov, Jernej Vičič","doi":"10.31449/inf.v47i2.3788","DOIUrl":"https://doi.org/10.31449/inf.v47i2.3788","url":null,"abstract":"","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77671817","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}
Chang Su, Ziqiang Li, Zhongliang Wei, Naizhong Xu, Quan Yuan
{"title":"Clarity Method of Low-illumination and Dusty Coal Mine Images Based on Improved Amef","authors":"Chang Su, Ziqiang Li, Zhongliang Wei, Naizhong Xu, Quan Yuan","doi":"10.31449/inf.v47i7.4799","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4799","url":null,"abstract":"","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78567521","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}
{"title":"K-CAE: Image Classification Using Convolutional AutoEncoder Pre-Training and K-means Clustering","authors":"Aida Chefrour, Samia Drissi","doi":"10.31449/inf.v47i7.4499","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4499","url":null,"abstract":"The work presented in this paper is in the general framework of classification using deep learning and, more precisely, that of convolutional Autoencoder. In particular, this last proposes an alternative for the processing of high-dimensional data, to facilitate their classification. In this paper, we propose the incorporation of convolutional autoencoders as a general unsupervised learning data dimension reduction method for creating robust and compressed feature representations for better storage and transmission to the classification process to improve K-means performance on image classification tasks. The experimental results on three image databases, MNIST, Fashion-MNIST, and CIFAR-10, show that the proposed method significantly outperforms deep clustering models in terms of clustering quality.","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88243976","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}
{"title":"Analysis Implementation of the Ensemble Algorithm in Predicting Customer Churn in Telco Data: A Comparative Study","authors":"R. Sari, Ferdy Febriyanto, Ahmad Cahyono Adi","doi":"10.31449/inf.v47i7.4797","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4797","url":null,"abstract":"Globalization and technological advancements in the telecommunication industry have led to a significant rise in the number of operators, leading to intense market competition. This sector has become crucial in developed countries, and companies strive to increase profits by acquiring new customers, up-selling existing ones, and extending the retention period of current clients. In the traditional method of defect prediction, a single classifier is used to build a model on a pre-labeled dataset. However, this approach has limitations in predicting defects accurately under certain circumstances. To overcome these limitations, boosting is applied to combine multiple weak classifiers and create a robust classification model. Among many algorithms used for churn prediction, ensemble techniques have demonstrated greater accuracy than simpler approaches. This study aims to overcome these limitations by experimenting with five ensemble algorithms, including Adaboost, Gradient Boost, XGBoost, CatBoost, and LightGBM. The results indicate that XGBoost outperforms other techniques and is the most suitable algorithm to build the predictive model. Additionally, the study achieves higher accuracy by performing a Grid Search CV hyper-parameter setting with XGBoost, resulting in an accuracy of 81.2%. Povzetek: Študija je primerjala pet ansambelskih algoritmov za napovedovanje prekinitve naročniškega razmerja. Rezultati kažejo, da je XGBoost najboljši algoritem z natančnostjo 81,2 %.","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73968810","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}
Tito Pinandita, S. Mohamad, F. N. Azman, Hidayatulah Himawan
{"title":"An Analysis of Technology Issues in Mobile Augmented Reality","authors":"Tito Pinandita, S. Mohamad, F. N. Azman, Hidayatulah Himawan","doi":"10.31449/inf.v47i7.4615","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4615","url":null,"abstract":"Augmented reality technology is currently increasingly modern and growing rapidly, this research is a summary of the popularity of augmented reality technology to the present. augmented reality application is increasingly being used in the fields of education, health and even used for the military. other research describes combining augmented reality with other technologies. This study is to discover challenges and opportunities for future augmented reality applications. some studies illustrate that there are still some flaws in augmented reality technology. Hopefully in the future the deficiencies found in previous studies can be corrected","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84893794","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}
{"title":"Derivation of Optimized Threshold of Semantic Alignment Metrics for Intepretation of Interoperability and Reusability of Cross-enterprise Vehicle Service Interface Models","authors":"Sangita De, Přemek Brada, Juergen Mottok","doi":"10.31449/inf.v47i7.4739","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4739","url":null,"abstract":"","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75016356","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}
{"title":"Tradeoffs In Using Blockchain Technology For Security, Privacy, And Decentralization:theoretical And Empirical Perspectives","authors":"Aleksandar Tošić","doi":"10.31449/inf.v47i2.4965","DOIUrl":"https://doi.org/10.31449/inf.v47i2.4965","url":null,"abstract":"","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"119 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77948899","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}
Tahar Gherbi, A. Zeggari, Z. A. Seghir, F. Hachouf
{"title":"Entropy-Guided Assessment of Image Retrieval Systems: Advancing Grouped Precision as an Evaluation Measure for Relevant Retrievability","authors":"Tahar Gherbi, A. Zeggari, Z. A. Seghir, F. Hachouf","doi":"10.31449/inf.v47i7.4661","DOIUrl":"https://doi.org/10.31449/inf.v47i7.4661","url":null,"abstract":"The performance evaluation of Content Based Image Retrieval systems (CBIR), can be considered as a challenging and overriding problem even for human and expert users regarding the important numbers of CBIR systems proposed in the literature and applied to different image databases. The automatic measures widely used to assess CBIR systems are inspired from the general Text Retrieval (TR) domain such as precision and recall metrics. This paper proposes a new quantitative measure adapted to the CBIR particularity of relevant images grouping, which is based on the entropy of the returned relevant images. The proposed performance measure is easy to understand and to implement. A good discriminating power of the proposed measure is shown through a comparative study with the existing and well-known CBIR evaluation measures","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72875574","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}
{"title":"Detecting Temporal and Spatial Anomalies in Users' Activities for Security Provisioning in Computer Networks","authors":"Aleks Huč","doi":"10.31449/inf.v47i2.4933","DOIUrl":"https://doi.org/10.31449/inf.v47i2.4933","url":null,"abstract":"","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77979928","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}
{"title":"A Two Phase Ultrasound Image De-speckling Framework by Nonlocal Means on Anisotropic Diffused Image Data","authors":"Nivediia Thakur, N. U. Khan, Sunil Sharma","doi":"10.31449/inf.v47i2.4378","DOIUrl":"https://doi.org/10.31449/inf.v47i2.4378","url":null,"abstract":"","PeriodicalId":35802,"journal":{"name":"Informatica (Slovenia)","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82656477","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}