2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第2页

Bounding Box Supervision Benefits Lung Pathology Classification in Pulmonary X-Rays 围合盒监督有利于肺x线病理分类

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158637

Cristian Avramescu, A. Tenescu, B. Bercean, Marius Marcu

{"title":"Bounding Box Supervision Benefits Lung Pathology Classification in Pulmonary X-Rays","authors":"Cristian Avramescu, A. Tenescu, B. Bercean, Marius Marcu","doi":"10.1109/SACI58269.2023.10158637","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158637","url":null,"abstract":"Classification and object detection are computer vision tasks with successful, clinical applications in medical imaging. Yet, the increased effort required of expert readers in order to annotate bounding boxes on medical images has yet to be quantitatively justified in terms of added value to identifying pathologies. In this study, we show preliminary results on the classification and localization of 17 most common chest pathologies on a private dataset of 15,000 radiographs from two Romanian public hospitals. Next, we quantitatively compare the extra added value of the bounding box information at training time, concerning classification performance improvements. Two types of architectures were trained on publicly available and private data, classification architectures (i.e., InceptionNet V3), tasked with identifying pathologies in chest radiographies and object detection architectures (i.e., Faster R-CNN), tasked with localizing the regions of interest on the image. Both achieved high classification performance (i.e., 90.52 and 88.94 mean AUROC, respectively). The object detector, however, reached superior classification performance, thus proving the additional bounding box information available at training time, benefits patient-level pathology identification as well.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365787","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

Food recognition using neural network on mobile device 在移动设备上使用神经网络识别食物

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158575

Ámon Kiss, András Kovács

引用次数: 0

Motion planning and modeling for isothermal parallel chemical reactions 等温平行化学反应的运动规划与建模

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158663

Eszter Virágh, D. Drexler, B. Kiss

引用次数: 0

Generation-Specific Analysis of Adaptive Self-Driving Technology in Hungary 匈牙利自适应自动驾驶技术的代际分析

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158544

Patrik Viktor, Mónika Garai-Fodor

引用次数: 0

Educational robots in higher education -findings from an international survey 高等教育中的教育机器人——一项国际调查的结果

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158668

Eniko Nagy, Ildikó Holik

{"title":"Educational robots in higher education -findings from an international survey","authors":"Eniko Nagy, Ildikó Holik","doi":"10.1109/SACI58269.2023.10158668","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158668","url":null,"abstract":"Today’s technological developments are also having an impact on education. In higher education, there are more and more innovations in content and methodology, such as educational robots, which can be used not only for teaching programming, but also as teaching assistants and pedagogical assistants. Tutor robots offer new opportunities for curriculum development, motivating students, stimulating interest and developing soft skills, while preparing young people to use the latest technological tools. In our online survey, conducted in summer 2022, we explored the views of educators in 14 countries on the characteristics of robot-supported innovation in higher education. The results of the survey show that educators are open to educational innovations. Educational robots are mainly used for teaching programming. They believe that the use of social robots significantly improves students’ creativity and self-expression. The results of this research have shown that the use of educational social robots is an excellent opportunity for methodological innovation and provides scope for experimental teaching.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133988264","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

The advancing role of digitalisation through the example of the Perlmutter project from the user side 通过用户方面的Perlmutter项目的例子说明数字化的推进作用

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158552

Ágnes Csiszárik-Kocsir, J. Varga

{"title":"The advancing role of digitalisation through the example of the Perlmutter project from the user side","authors":"Ágnes Csiszárik-Kocsir, J. Varga","doi":"10.1109/SACI58269.2023.10158552","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158552","url":null,"abstract":"The events of recent years have shed new light on the crisis and change management practices of economic actors. It has been a truism that actors who are more receptive to change can be more successful and efficient than their peers in business markets. Perhaps the most significant changes in recent years have confirmed this even more. One only has to think of the impact of pandemic COVID-19, the energy crisis or the Russian-Ukrainian conflict. In a very short period of time, these events have brought about very significant changes and their impact has been largely negative for most economic actors. If it has not been sufficiently understood so far why it can be important to adapt to changes in a timely and appropriate way, or why good crisis management practices can be important, perhaps everyone will now. Meanwhile, other trends are shaping the global economy and will have an impact on the future state of the economy and society. Examples include sustainability (or the green transition) and digitalisation. Two global changes that will certainly have a long-term impact on society and business processes. No one can afford the luxury of ignoring these changes. What is more, the most competitive economic players are seeking to turn them to their advantage and to reap the benefits of sustainability or digitalisation. It is clear that our world has become faster and more complex than ever before. More and more things are changing around us, with ever more intense consequences. We need to recognise in time how we can respond to changing environmental conditions or circumstances. This is the subject of the present paper, which, after a brief literature review, draws on research findings to illustrate the importance and relevance of digitalisation.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125217488","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

Single Cell Position Determination and Transformation from Static High-resolution Digital Image to Laser-microdissector Coordinate System Using Image Processing Techniques 单细胞位置确定及从静态高分辨率数字图像到激光显微解剖坐标系的图像处理技术

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158647

M. Kucarov, A. Várkonyi-Kóczy, B. Molnár, M. Kozlovszky

引用次数: 1

Investigation of reward functions for controlling blood glucose level using reinforcement learning 应用强化学习控制血糖水平的奖励函数研究

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158621

Lehel Dénes-Fazakas, M. Siket, László Szilágyi, G. Eigner, L. Kovács

引用次数: 0

Wind System Control at Time-Varying Wind Speeds Using the Perturb and Observe Method 用摄动和观测方法控制时变风速下的风系统

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158538

Florin Butaru, Mihaela-Codruta Ancuti, G. Erdodi, C. Șorândaru, S. Musuroi, R. Ancuti

引用次数: 0

Benchmarking Photonic Quantum Machine Learning Simulators 对标光子量子机器学习模拟器

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158603

Henrik Varga, A. Kiss, Zoltán Kolarovszki

引用次数: 0