2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第7页

What Represents Value and Happiness for the Hungarian Generation Z in 2022-2023? 2022-2023年匈牙利Z世代的价值和幸福是什么?

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158648

K. Jäckel, Mónika Garai-Fodor

{"title":"What Represents Value and Happiness for the Hungarian Generation Z in 2022-2023?","authors":"K. Jäckel, Mónika Garai-Fodor","doi":"10.1109/SACI58269.2023.10158648","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158648","url":null,"abstract":"Our qualitative research was inspired by the 75-year long Harvard University Happiness Survey.In October-November 2022, 65 young marketing undergraduates from Generation Z were asked what value and happiness meant to them. Today’s 20-year-olds were forced to live one tenth of their lives, i.e., 2 years, locked in their homes, isolated from friends and university peers, during the COVID -19 pandemic. Hardly had they recovered from the threat of the pandemic, from their grief, when they were hit by another trauma, as were other members of society. War in neighbouring Ukraine, serious energy crisis, climate crisis, skyrocketing inflation, uncertain future…The focus of the research was therefore on the question of what kind of life they would be satisfied with, and what they would do to achieve the quality of life they want. What goals do they have, what do they want to achieve in their lives? Are human relationships important to them? As our interviewees were marketing students, we asked them if they were happy buying a product or using a service, how important is the experience of buying a product or service to them? How do they think about this topic, what strategy do they want to follow as marketing employees based on their life experiences? Their way of thinking is also decisive at a societal level.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"48 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":"122368369","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

Automotive Scenarios for Trajectory Tracking using Machine Learning Techniques and Image Processing 使用机器学习技术和图像处理的轨迹跟踪的汽车场景

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158549

Delia Moga, I. Filip

引用次数: 0

Indirect supervised fine-tuning of a tumor model parameter estimator neural network 肿瘤模型参数估计神经网络的间接监督微调

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158651

Lilla Kisbenedek, Melánia Puskás, L. Kovács, D. Drexler

{"title":"Indirect supervised fine-tuning of a tumor model parameter estimator neural network","authors":"Lilla Kisbenedek, Melánia Puskás, L. Kovács, D. Drexler","doi":"10.1109/SACI58269.2023.10158651","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158651","url":null,"abstract":"Personalized therapy based on mathematical foundations is a promising method for treating various types of cancer. By identifying the parameters of mathematical equations, we could gain more information about the patients and the tumor. In previous works, a vast number of training data of virtual scenarios has been generated, then used to train a neural network to predict parameters. Besides the fact that in silico experiments have been used, and the actual parameters can differ from them, the algorithm still can be utilized for initial estimation. The main objective of this work is to find the parameters of living mice, by taking advantage of the learning capability of neural networks. As a result, the implementation encompasses two main stages. First, we created another supervised neural network, that is able to solve the applied differential equations faster with fewer algebraic steps, than the traditionally used ODE solvers. Then, we find a better-fitting parameter set for the real measurement, while we retrain the original network with these parameters and the associated error, without forgetting the already learned weights from in silico experiments. The results indicate that the implemented model can be used in further research as an unconstrained optimization technique for parameter fitting.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"4 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":"130003341","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

The impact of age on NBA player’s performances: A Data Mining approach 年龄对NBA球员表现的影响:一种数据挖掘方法

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158605

Bence Richard Hach, Lucian Ionel Gaina, D. Stanescu, Bianca Gusita

引用次数: 0

Options Evaluator With an Artificial Intelligence-Based Volatility Model 基于人工智能波动率模型的期权评估器

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158633

Árpád Rigó, B. Tusor

引用次数: 0

Carpentry software designing and development with pane cutting optimization functionality 木工软件的设计和开发与窗格切割优化功能

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158536

Bence Hodák, Elemér Balázs

引用次数: 0

Pharmacodynamics modeling based on in vitro 3D cell culture experiments 基于体外三维细胞培养实验的药效学建模

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158623

Borbála Gergics, F. Vajda, Alexander Ládi, András Füredi, D. Drexler

{"title":"Pharmacodynamics modeling based on in vitro 3D cell culture experiments","authors":"Borbála Gergics, F. Vajda, Alexander Ládi, András Füredi, D. Drexler","doi":"10.1109/SACI58269.2023.10158623","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158623","url":null,"abstract":"Optimized therapies for the individual patient provide a more cost-effective, more secure method of chemotherapy. Therapy optimization demands a reliable mathematical model of tumor growth, pharmacodynamics, and the effect of the chemotherapeutic agent used during the therapy. Examining these effects and processes in vitro cell culture experiments maintain a cheaper and more ethical method to create tumor growth and pharmacodynamics models and estimate their parameters. In this work, parameter identification was carried out by using cytotoxicity measurements of two- and three-dimensional (spheroid) tumor cell cultures. In vitro experiments were accomplished on mice breast cancer cell line. Four experiments were done: two experiments on two-dimensional cell cultures, with the initial number of 5000 and 10000 cells, and two experiments on three-dimensional spheroid cell cultures, with the initial number of 5000 and 10000 cells. The drug used was Doxorubicin at the same serial dilution in all cases. Parameter identification was performed by fitting to fluorescent intensity confluence data measured by an automatic time-lapse microscope for five days. We compared the results of two- and three-dimensional cell cultures and identified the model parameters in all four cases. The value of the sum square error showed that the fitting and identification performed better in the case of tumor spheroid cultures.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"120 6 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":"128488900","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

Detection of Attacks in Software-Defined Networks (SDN)* : *How to conduct attacks in SDN environments SDN (Software-Defined Networks)攻击检测*:*如何在SDN环境下进行攻击

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158584

Jean Rosemond Dora, L. Hluchý

引用次数: 0

Safe trajectory design for indoor drones using reinforcement-learning-based methods 基于强化学习方法的室内无人机安全轨迹设计

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158591

Dénes Tompos, B. Németh

引用次数: 0

Jaycustomers in the Hungarian healthcare system 匈牙利医疗保健系统的jaycustomer

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI: 10.1109/SACI58269.2023.10158545

K. Jäckel, Mónika Garai-Fodor, Zoltán Gábor Lukács

引用次数: 0