Data science and algorithms in systems : proceedings of 6th Computational Methods in Systems and Software 2022. Vol. 2 /

This book offers real-world data science and algorithm design topics linked to systems and software engineering. Furthermore, articles describing unique techniques in data science, algorithm design, and systems and software engineering are featured. This book is the second part of the refereed proce...

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Bibliographic Details
Corporate Author: Computational Methods in Systems and Software Online)
Other Authors: Silhavy, Radek, (Editor), Silhavy, Petr, (Editor), Prokopova, Zdenka, (Editor)
Format: eBook
Language: English
Published: Cham : Springer, [2023]
Series: Lecture notes in networks and systems ; v. 597.
Subjects:
Software engineering > Congresses.
System design > Congresses.
elektronické knihy
electronic books
ISBN: 9783031214387
9783031214370
Physical Description: 1 online zdroj (xviii, 1022 stran) : ilustrace.

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Table of contents

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020 |a 9783031214387  |q (electronic bk.) 
020 |z 9783031214370 
024 7 |a 10.1007/978-3-031-21438-7  |2 doi 
035 |a (OCoLC)1356891271  |z (OCoLC)1357016305 
111 2 |a Computational Methods in Systems and Software  |n (6th :  |d 2022 :  |c Online) 
245 1 0 |a Data science and algorithms in systems :  |b proceedings of 6th Computational Methods in Systems and Software 2022.  |n Vol. 2 /  |c Radek Silhavy, Petr Silhavy, Zdenka Prokopova, editors. 
264 1 |a Cham :  |b Springer,  |c [2023] 
264 4 |c ©2023 
300 |a 1 online zdroj (xviii, 1022 stran) :  |b ilustrace. 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Lecture notes in networks and systems ;  |v volume 597 
500 |a Conference proceedings. 
500 |a Includes author index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book offers real-world data science and algorithm design topics linked to systems and software engineering. Furthermore, articles describing unique techniques in data science, algorithm design, and systems and software engineering are featured. This book is the second part of the refereed proceedings of the 6th Computational Methods in Systems and Software 2022 (CoMeSySo 2022). The CoMeSySo 2022 conference, which is being hosted online, is breaking down barriers. CoMeSySo 2022 aims to provide a worldwide venue for debate of the most recent high-quality research findings. 
505 0 |a Intro -- Preface -- Organization -- Contents -- Understanding the General Framework for Teaching Semantics and Syntaxes of Visual Languages to Computer Education Students Based on Notion of Abstract Visual Syntax Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Syntax of Visual Languages -- 2.2 Semantics of Visual Languages -- 2.3 Graph Representation -- 2.4 Abstract Visual Syntax Graph and Graph Grammar -- 2.5 Logical Semantics -- 3 The three Notable Visual Languages -- 3.1 Euler Diagrams (Circle) -- 3.2 VEX -- 3.3 Show and Tell -- 4 Conclusions and Future Work -- References 
505 8 |a A Prediction System Using AI Techniques to Predict Students' Learning Difficulties Using LMS for Sustainable Development at KFU -- 1 Introduction -- 1.1 Practitioner Notes -- 2 Related Work -- 3 Machine Learning -- 3.1 Logistics Regression (LR) -- 3.2 K-Nearest Neighbor (KNN) -- 3.3 Decision Tree (DT) -- 3.4 Naive Bayes Algorithm (NB) -- 3.5 Random Forest (RF) -- 3.6 Stochastic Gradient Descent (SGD) -- 3.7 Ridge Classifier -- 3.8 Nearest Centroid -- 4 Dataset Description -- 5 Methodology -- 6 Data Transformation -- 7 Data Partitioning -- 8 Performance Evaluation -- 9 Results -- 10 Conclusion 
505 8 |a 11 Discussion -- References -- COVID-19 Detection from Chest X-Ray Images Using Detectron2 and Faster R-CNN -- 1 Introduction -- 2 Deep Learning Based Object Detection -- 2.1 R-CNN -- 2.2 Fast R-CNN -- 2.3 Faster R-CNN -- 2.4 YOLO -- 3 Methodology -- 3.1 Dataset -- 3.2 Baseline Models -- 3.3 Evaluating Object Detection Models -- 3.4 Training Process for Different Models -- 4 Results and Discussion -- 5 Conclusion -- References -- Effective SNOMED-CT Concept Classification from Natural Language using Knowledge Distillation -- 1 Introduction -- 2 Related work 
505 8 |a 2.1 SNOMED-CT (Systemized Nomenclature of Medicine Clinical Term) -- 2.2 Medical Natural Language Document -- 2.3 Methods for Inferring Terms for Binding SNOMED-CT -- 2.4 Knowledge Distillation -- 2.5 BioBert ch4ref11 -- 3 Methodology -- 3.1 Problem statement -- 3.2 Proposed Model -- 3.3 Data Preprocessing -- 3.4 Learning Method and Architecture -- 4 Results and Discussions -- 5 Conclusion -- References -- Analyze Mental Health Disorders from Social Media: A Review -- 1 Introduction -- 2 Methodology -- 3 Result 
505 8 |a 3.1 RQ1: What Technique Is Most Commonly Used in the Mental Health Analysis in the Last Five Years? -- 3.2 RQ2: What Data Sources or Applications Are Widely Used to Retrieve Test Data? -- 3.3 Synthetic Result -- 4 Conclusion -- References -- Methods of Solution to the Task on Early Detection of Fire Outbreaks Based on Images and Video Streams from Controlled Territories -- 1 Introduction -- 2 Review of Existing Methods -- 3 Set up of the Task -- 4 Realization of Experiments -- 4.1 Task of Binary Classification -- 4.2 Extraction of Places with Fire Based on YOLO -- 5 Conclusion -- References 
590 |a eBooks on EBSCOhost  |b All EBSCO eBooks 
650 0 |a Software engineering  |v Congresses. 
650 0 |a System design  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Silhavy, Radek,  |e editor. 
700 1 |a Silhavy, Petr,  |e editor. 
700 1 |a Prokopova, Zdenka,  |e editor. 
776 0 8 |i Print version:  |z 3031214374  |z 9783031214370  |w (OCoLC)1347695597 
830 0 |a Lecture notes in networks and systems ;  |v v. 597. 
856 4 0 |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3516486&authtype=ip,shib&custid=s3936755  |y Plný text 
992 |c EBOOK-TN  |c EBSCO 
993 |x NEPOSILAT  |y EIZ 
999 |c 111599  |d 111599 

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