2021 6th International Conference on Computer Science and Engineering (UBMK)最新文献_第4页

Tweet Sentiment Analysis for Cryptocurrencies 加密货币的推特情绪分析

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558914

Emre Sasmaz, F. Tek

引用次数: 15

Hybrid Gray Wolf Algorithm for No Wait Flow Shop Scheduling Problems 无等待流水车间调度问题的混合灰狼算法

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9559033

Cengiz Kına, Serkan Kaya, Berkan Aydilek

引用次数: 0

Covid19 Diagnosis: Comparative Approach Between Chest X-Ray and Blood Test Data covid - 19诊断:胸部x线与血液检查数据的比较方法

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558969

A. Öztaş, Dorukhan Boncukçu, Ege Özteke, M. Demir, A. Mirici, P. Mutlu

{"title":"Covid19 Diagnosis: Comparative Approach Between Chest X-Ray and Blood Test Data","authors":"A. Öztaş, Dorukhan Boncukçu, Ege Özteke, M. Demir, A. Mirici, P. Mutlu","doi":"10.1109/UBMK52708.2021.9558969","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558969","url":null,"abstract":"The Covid-19 virus has made a major impact on the world and is still spreading rapidly. A reliable solution to prevent further damage, early diagnosis of coronavirus patients are incredibly important. While chest X-Ray diagnosis is the easiest and fastest solution for this, an average radiologist has only a 75% to 85% accuracy when evaluating X-Ray data, thus it is desirable to achieve an accurate artificial network for this. Throughout this study, chest X-Ray data and blood routine test data are utilised and compared. X-Ray data consists of 5000 chest X-Ray images which are gathered from an open-source research and from a local hospital in which both have anonymous data. The blood test results were also taken from the same hospital. For the chest X-Ray diagnosis we utilised two of the popular convolutional neural networks, which are Resnet18 and Squeezenet and concluded that Resnet18 provided slightly more accurate results, while both having almost 98% accuracy. For blood test diagnosis, a feed-forward multi layer neural network was used. Even though it was worked on an insufficient dataset, 72% accuracy was obtained, thus making it a feasible option for further research. Hence, we concluded that in general chest X-Ray diagnosis is preferable over routine blood test diagnosis and the usage of AI yields better approximate results than humans.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125270333","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

Features of The Development of Intelligent Scientific and Educational Internet Resources 智能科教网络资源开发的特点

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558999

Zh.B. Sadirmekova, J. Tussupov, M.A. Sambetbaveva, A. Yerimbetova, Y.A. Zaeorulko

{"title":"Features of The Development of Intelligent Scientific and Educational Internet Resources","authors":"Zh.B. Sadirmekova, J. Tussupov, M.A. Sambetbaveva, A. Yerimbetova, Y.A. Zaeorulko","doi":"10.1109/UBMK52708.2021.9558999","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558999","url":null,"abstract":"The purpose of this work is to develop methods, technologies and tools for creating and maintaining intelligent scientific and educational Internet resources (ISEIR) based on a service-oriented approach and Semantic Web technologies. The main purpose of ISEIR is to provide meaningful access to scientific and educational information resources of a given field of knowledge and integrated information processing services. According to the preliminary concept, an intelligent scientific and educational Internet resource will be an information system accessible via the Internet, which provides ontology-based systematization and integration of scientific knowledge, data and information resources into a single information space, meaningful effective access to them, as well as supporting their use in solving various scientific and educational tasks. ISEIR is equipped with an ergonomic web-based user interface and special editors designed to manage the knowledge integrated into it. The proposed approach to the construction of intelligent scientific and educational Internet resources is the basis of the developed technology for creating and maintaining information environments for distributed learning.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"496 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123068586","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: 4

CNN-based Text-independent Automatic Speaker Identification Using Short Utterances 基于cnn的短话语文本独立自动说话人识别

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9559031

Mandana Fasounaki, Emirhan Burak Yüce, Serkan öncül, G. Ince

引用次数: 2

A Comparison of Machine Learning Algorithms on Lithium-ion Battery Cycle Life Prediction 锂离子电池循环寿命预测的机器学习算法比较

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558946

Melike Dokgöz, Y. Yaslan

引用次数: 0

NFT based Fundraising System for Preserving Cultural Heritage: Heirloom 基于NFT的文化遗产保护筹款系统:传家宝

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9559006

Emre Ertürk, Murat Doğan, Ümit Kadiroğlu, Enis Karaarslan

{"title":"NFT based Fundraising System for Preserving Cultural Heritage: Heirloom","authors":"Emre Ertürk, Murat Doğan, Ümit Kadiroğlu, Enis Karaarslan","doi":"10.1109/UBMK52708.2021.9559006","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9559006","url":null,"abstract":"Cultural heritage assets are in danger of extinction or damage due to lack of publicity and financial problems. Technological advances can play a role in their preservation and promotion. This study aims to create a blockchain-based cultural property protection system which we named the Heirloom. The proposed system uses blockchain and IPFS. This system will allow foundations to receive funding to protect cultural assets without using an intermediary. The cultural assets are transformed into unique digital items using the NFT (Non-Fungible Token) technology. The metadata of the created NFTs is stored in the distributed file system IPFS (InterPlanetary File System). An autonomous working system is provided with smart contracts. The supporters give donations to earn their share of protection and maintenance rights. The proof of concept implementation is promising. A case study on protecting old olive trees in Milas has also started with a local foundation. Possible outcomes will be the ease of getting funds for preserving cultural heritage and increasing awareness. Future studies will include working on different methods for decreasing the costs of the system and integrating augmented and virtual reality technologies.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124869159","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: 11

An Exploratory Case Study for Turkish Sentiment Classification Using Graph Convolutional Neural Networks 基于图卷积神经网络的土耳其情感分类探索性案例研究

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558976

Yasir Kilic, Ahmet Büyükeke

引用次数: 0

Utilization of Online Collaborative Tools in Software Engineering: An Empirical Study on Review Meetings 软件工程中在线协作工具的利用:基于评审会议的实证研究

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558995

I. Akman, Ç. Turhan, Tuna Hacaloglu

{"title":"Utilization of Online Collaborative Tools in Software Engineering: An Empirical Study on Review Meetings","authors":"I. Akman, Ç. Turhan, Tuna Hacaloglu","doi":"10.1109/UBMK52708.2021.9558995","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558995","url":null,"abstract":"Software development involves a significant amount of team effort where collaboration and communication of the team members are crucial. The team meetings are core activities in all stages of the software development process. Even though these meetings often are conducted face-to-face (F2F) with a lack of technology utilization, changing global conditions such as the COVID-19 pandemic require other solutions urgently without interrupting the software development schedule. For this purpose, online collaborative tools provide new opportunities for software teams to work together avoiding waste in time and resources and the relevant literature is immature. This study aims to assess the factors affecting the integration of online collaborative tools to SE practices with a special reference to review meetings. For this purpose, a sample of 73 SE sophomore and junior students who are future software professionals participated in experimental review meetings based on predefined scenarios. The findings indicate that the utilization of OCT’s has positive effects on the participants’ actual performance and improves the interaction between team members compared to F2F meetings.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116272336","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

Small Object Detection and Tracking from Aerial Imagery 基于航空图像的小目标检测与跟踪

2021 6th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2021-09-15 DOI: 10.1109/UBMK52708.2021.9558923

M. Aktaş, H. Ateş

{"title":"Small Object Detection and Tracking from Aerial Imagery","authors":"M. Aktaş, H. Ateş","doi":"10.1109/UBMK52708.2021.9558923","DOIUrl":"https://doi.org/10.1109/UBMK52708.2021.9558923","url":null,"abstract":"Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training set of modern-day object detectors, since it is made of images of larger areas compared to the regular datasets and the objects are very small on the contrary. These problems do not allow us to use common object detection models. The main purpose of this paper is to make modifications to the Faster-RCNN (FRCNN) model, then leverage it for small object detection and tracking from the aerial imagery. It is aimed to use both spatial and temporal information from the image sequence, as appearance information alone is insufficient. The anchors in the Region Proposal Network (RPN) stage will be adjusted for small objects. Also, intersection over union (IoU) is optimized for small objects. After improving detection performance, The DeepSORT algorithm is inserted right after the Region of Interest (ROI Head) to track the objects. The results show that the proposed model has good performance on the VisDrone-2019 dataset. Detection performance becomes considerably better than the original FRCNN and the algorithms that are evaluated in the VisDrone-2019 VID challenge. After completing the proposed modifications, the AP-AP50 values reached 14.07-29.41 from 8.08-18.70, which means approximately 75% improvement.","PeriodicalId":106516,"journal":{"name":"2021 6th International Conference on Computer Science and Engineering (UBMK)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114723978","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