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[null,"1.","Record Nr.",null,"UNINA9910767558903321"]
[null,null,"Titolo",null,"Information and Communication Technologies in Education, Research, and Industrial Applications : 18th International Conference, ICTERI 2023, Ivano-Frankivsk, Ukraine, September 18-22, 2023, Proceedings / / Grigoris Antoniou [and seven others], editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"3-031-48325-1"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (373 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science Series ; ; Volume 1980"]
[null,null,"Disciplina",null,"371.33"]
[null,null,"Soggetti",null,"Educational technology"]
[{"$nulls":4},"Information technology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Automated Machine Learning for Knowledge Discovery (Invited Talk Abstract) -- Contents -- Invited Paper -- The Power of Good Old-Fashioned AI for Urban Traffic Control -- 1 Introduction -- 2 Automated Planning -- 3 AI for Traffic Signal Control -- 4 AI for Traffic Routing -- 5 Conclusion -- References -- Main Conference -- Automated Design of a Neuroevolution Program Using Algebra-Algorithmic Tools -- 1 Introduction -- 2 Neuroevolution of Augmenting Topologies -- 3 Facilities for Automated Design of Algorithms and Programs -- 4 Application of the Integrated Toolkit for Designing a Program for Single-Pole Balancing Problem Using the NEAT-Python Library -- 5 Experimental Results -- 6 Conclusion -- References -- On Randomization of Reduction Strategies for Typeless Lambda Calculus -- 1 Introduction -- 2 A Brief Survey of Typeless Lambda Calculus -- 2.1 Lambda Terms Construction Rules -- 2.2 Lambda Calculus Computation Rules -- 3 A Terms Reduction Strategy as Choice Procedure -- 3.1 Deterministic Terms Reduction Strategies -- 3.2 A Deterministic Reduction Strategy as a Choice Procedure -- 3.3 Random Choice and Random Reduction Strategies -- 3.4 Mixed Reduction Strategies -- 4 Complexity of Terms Reduction Strategies -- 5 Simulation of Reduction Processes -- 5.1 Experimental Study of Random Strategies -- 5.2 Experimental Study of Mixed Strategies -- 6 Conclusions -- References -- Solving Sokoban Game with a Heuristic "]
[{"$nulls":4},"for Avoiding Dead-End States -- 1 Introduction -- 2 Models with Irreversible Actions -- 2.1 Sokoban Game -- 3 Related Works -- 4 The Heuristic -- 4.1 Evaluation of the Sokoban Game State -- 4.2 Preparing Data for Model Training -- 4.3 Training of the Network -- 5 Experiments -- 5.1 General Information -- 5.2 Classification Network vs Value Network as a Heuristic for MCTS."]
[{"$nulls":4},"5.3 Attempt to Fine-Tune the Network During Training -- 5.4 Comparison of Heuristics Trained on Different Datasets -- 6 Conclusion -- References -- Information System for Calculating the Shortest Route for a Mobile Robot in a Multilevel Environment Based on Unity -- 1 Introduction -- 2 Review of Existing Information Systems for Calculating Optimal Routes -- 3 Algorithm for Finding the Shortest Path in a Multilevel Environment -- 4 Information System for Calculating the Shortest Path in a Multilevel Space Based on Unity -- 5 Analysis of the Results of Simulation the Operation of the Information System -- 6 Conclusions -- References -- Analysis and Systematization of Vulnerabilities of Drone Subsystems -- 1 Introduction -- 1.1 Motivation and Relevance of Research -- 1.2 Work Related Analysis -- 2 Analysis of Drone's Subsystems Vulnerabilities -- 3 Systematization of Drone's Vulnerabilities by Severities and Cyber-Attacks -- 4 Conclusions -- References -- Helicopters Turboshaft Engines Parameters Identification Using Neural Network Technologies Based on the Kalman Filter -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 4 Experiment -- 5 Results -- 6 Discussions -- 7 Conclusions -- References -- Modification of Fuzzy TOPSIS Based on Various Proximity Coefficients Metrics and Shapes of Fuzzy Sets -- 1 Introduction -- 2 Related Works and Problem Statement -- 3 Modification of Fuzzy TOPSIS to Solve the Problem -- 4 Conclusions -- References -- Development of the Professional Competence of Bachelors in Preschool Education Through Online Interaction -- 1 Introduction -- 2 Analysis of Publications -- 3 Discussion -- 3.1 Students' Readiness to Develop the Play Competence of Preschool Children -- 3.2 Syllabus Outline to Teach Using ICT within the Course Workshop on Children's Play Activities -- 3.3 Research Results -- 4 Conclusion -- References."]
[{"$nulls":4},"Design and Implementation of Didactic Process Based on Simulation -- 1 Introduction -- 1.1 Practical Problems -- 2 The Theoretical Backgrounds -- 2.1 Extended ADDIE Model -- 2.2 Decomposition of the Didactic Process -- 2.3 Bloom's Taxonomy of Didactic Objectives -- 2.4 Design Based on Theory of Multiple Intelligences and Bloom's Taxonomy -- 3 Practical Implementation of the System -- 3.1 Modeling of Activities -- 4 Results and Discussion -- 4.1 Workload and Effects -- 4.2 Predicting the Next Didactic Unit or Activity -- 4.3 Time Gap and Workload -- 5 Conclusions and Prospects for Further Research -- References -- Theoretical Principles of Measuring and Interpreting Levels of Attention, Involvement and Organizing Feedback of Students to the Educational Process Using Automated Software Products -- 1 Introduction -- 2 Peculiarities of Studying Students of the Zoomers Generation -- 2.1 A Theoretical Overview of the Traditional Learning Model and Theories of Cognition -- 2.2 Theoretical Review of the Modern Model of Learning and Theories of Cognition -- 3 Overview of Modern Tools for Determining the Levels of Student Involvement in the Educational Process -- 3.1 EmotionCues -- 3.2 Headroom -- 3.3 MeetingPulse -- 4 A Software Tool for Analyzing the Degree of Involvement and the Degree of Information Perception -- 4.1 Requirements for the Software Product -- 4.2 Characterization and Interpretation of Visual Markers for Measuring Student Attention and Engagement -- 4.3 Use of Machine Learning Technology -- 5 "]
[{"$nulls":4},"Conclusions -- References -- Self-directed Learning in Chemistry Laboratory via Simulations -- 1 Introduction -- 2 Method -- 2.1 Sample -- 2.2 Data Collection Tools -- 2.3 Application Process -- 2.4 Data Analyze -- 3 Results -- 4 Discussion and Conclusion -- References."]
[{"$nulls":4},"The Use of Digital Tools for Mastering Practical Disciplines in the Distance Format of Training Bachelors of Preschool Education -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Literature Review -- 1.3 The Aim of the Research -- 2 Results of the Research -- 2.1 Results of the Formative Stage -- 3 Problems and Prospects -- 4 Conclusions -- References -- A Bot-Based Self-report Diagnostic Tool to Assess Post-traumatic Stress Disorder -- 1 Introduction -- 2 Related Works -- 3 Information Technology of Significant Dependencies Identification -- 3.1 Identification of Significant Dependencies -- 3.2 Bot Description -- 3.3 Analytical System for Dependencies Identification -- 4 Case Study -- 5 Discussion -- 6 Conclusion -- References -- Ph.D. Symposium -- Stock Market Crashes as Phase Transitions -- 1 Introduction -- 2 Literature Review -- 3 Multifractal Detrended Fluctuation Analysis -- 4 Empirical Results -- 5 Conclusions -- References -- Bibliometric Analysis of Adaptive Learning Literature from 2011-2019: Identifying Primary Concepts and Keyword Clusters -- 1 Introduction -- 2 Method -- 3 Results and Discussion -- 4 Limitations -- 5 Conclusions -- 6 Future Work -- References -- Data Analysis for Predicting Stock Prices Using Financial Indicators Based on Business Reports -- 1 Introduction -- 2 Related Works -- 3 Financial Ratios of 10K Report -- 4 Data Analysis -- 5 Conclusions -- References -- Artificial Intelligence Impact on Food Security of States in the World -- 1 Introduction -- 2 Related Works -- 2.1 Agriculture 4.0 and AI Solutions Linkage -- 2.2 AI Role in Addressing Food Security Challenges -- 2.3 The Socio-economic Impact of AI on Food Security -- 3 Main Results: Measuring the Impact of AI on Food Security of States -- 4 Conclusions -- References -- Increasing Investment Portfolio Profitability with Computer Analysis Trading Strategies."]
[{"$nulls":4},"1 Introduction -- 2 Related Works -- 3 Research Methodology -- 3.1 Model -- 3.2 Experimental Part -- 4 Results -- 5 Conclusions -- References -- Quality Assessment and Assurance of Machine Learning Systems: A Comprehensive Approach -- 1 Introduction -- 2 Terminology -- 3 Background -- 3.1 Characteristics of ML Systems -- 3.2 Quality Assessment and Assurance Challenges in ML Systems -- 4 Related Work -- 4.1 Quality Characteristics and Models -- 4.2 Quality Assurance Models and Methods -- 5 Limitations of Existing Software Quality Models and Methods -- 6 Towards a Comprehensive Approach to Quality Assessment and Assurance of ML Systems -- 7 Conclusion -- References -- Vulnerability Detection of Smart Contracts Based on Bidirectional GRU and Attention Mechanism -- 1 Introduction -- 2 Literature Review and the Problem Statement -- 3 Reentrancy Vulnerability -- 4 Methodology of Building a Model for Detecting Vulnerabilities of Smart Contracts -- 4.1 Vector Representation of Smart Contract Code -- 4.2 Recurrent Neural Networks -- 4.3 Dataset for Training -- 4.4 Architecture of the Model for Detecting Smart Contract Vulnerabilities -- 5 Evaluation of the Model -- 5.1 Basic Values -- 5.2 Precision and Recall Metrics -- 5.3 F-Beta Score -- 5.4 Hardware and Software -- 5.5 Evaluation Results -- 6 Conclusion -- References -- Modeling the Resource Planning System for Grocery Retail Using Machine Learning -- 1 Introduction -- 2 Modeling the Resource Planning System -- 2.1 The Data and Business Inputs Layer -- 2.2 Forecast &amp -- Optimization Layer. Building Machine Learning Model -- 2.3 Forecast &amp -- Optimization Layer. Building "]
[{"$nulls":4},"Machine Learning Model -- 2.4 Business Intelligence Layer -- 3 Conclusions -- References -- Poster Papers."]
[{"$nulls":4},"Organization of Independent Work of Students in LMS Moodle Using a Metacognitive Approach (on the Example of Physical and Mathematical Disciplines)."]
[null,"2.","Record Nr.",null,"UNINA9910300082703321"]
[null,null,"Titolo",null,"Decision Tools for Radiation Oncology : Prognosis, Treatment Response and Toxicity / / edited by Carsten Nieder, Laurie E. Gaspar"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-642-37102-7"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (307 p.)"]
[null,null,"Collana",null,"Radiation Oncology, , 2731-4723"]
[null,null,"Disciplina",null,"616.9940642"]
[null,null,"Soggetti",null,"Radiology"]
[{"$nulls":4},"Oncology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Prognosis and Predictive Factors for Tumours and Organs at risk: Background and Purpose -- Specific issues for prognostic factors related to radiotherapy -- Role of ICT in decision models -- Statistics of Prediction of survival and toxicity and Nomogram Development -- Treatment decisions based on Gene Signatures: Methods and Caveats -- Brain tumors -- Head and neck cancer -- Breast cancer -- Lung cancer -- Esophageal cancer -- Gastric cancer -- Pancreas and biliary tract cancer -- Liver cancer and metastases -- Rectal and anal cancer -- Cervix and corpus uteri, vulva and vaginal cancers -- Bladder cancer -- Prostate cancer -- Sarcomas -- Lymphomas -- Brain metastases -- Bone metastases."]
[null,null,null,"Sommario/riassunto","A look at the recent oncology literature or a search of one of the common databases reveals a steadily increasing number of nomograms and other prognostic models, some of which are also available in the form of web-based tools. These models may predict the risk of relapse, lymphatic spread of a given malignancy, toxicity, survival, etc. Pathology information, gene signatures, and clinical data may all be used to compute the models. This trend reflects increasingly individualized treatment concepts and also the need for approaches that achieve a favorable balance between effectiveness and side-effects. Moreover, optimal resource utilization requires prognostic knowledge, for example to avoid lengthy and aggressive treatment courses in patients with a short survival expectation. In order to avoid misuse, it is important to understand the limits and caveats of "]
[{"$nulls":4},"prognostic and predictive models. This book provides a comprehensive overview of such decision tools for radiation oncology, stratified by disease site, which will enable readers to make informed choices in daily clinical practice and to critically follow the future development of new tools in the field."]