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Research Challenges in Information Science

Overview of attention for book
Research Challenges in Information Science
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 Transfer Learning for Potato Leaf Disease Detection
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    Chapter 2 Knowledge Graph Multilevel Abstraction: A Property Graph Reification Based Approach
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    Chapter 3 ExpO: Towards Explaining Ontology-Driven Conceptual Models
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    Chapter 4 Translucent Precision: Exploiting Enabling Information to Evaluate the Quality of Process Models
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    Chapter 5 IPMD: Intentional Process Model Discovery from Event Logs
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    Chapter 6 Forensic-Ready Analysis Suite: A Tool Support for Forensic-Ready Software Systems Design
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    Chapter 7 Control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?
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    Chapter 8 Creating a Web-Based Viewer for an ADOxx-Based Modeling Toolkit
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    Chapter 9 Ontology-Based Interaction Design for Social-Ecological Systems Research
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    Chapter 10 Scriptless and Seamless: Leveraging Probabilistic Models for Enhanced GUI Testing in Native Android Applications
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    Chapter 11 Identifying Relevant Data in RDF Sources
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    Chapter 12 Novelty-Driven Evolutionary Scriptless Testing
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    Chapter 13 Strengthening Cloud Applications: A Deep Dive into Kill Chain Identification, Scoring, and Automatic Penetration Testing
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    Chapter 14 Improving Understanding of Misinformation Campaigns with a Two-Stage Methodology Using Semantic Analysis of Fake News
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    Chapter 15 Automated Scriptless GUI Testing Aligned with Requirements and User Stories
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    Chapter 16 Towards a Cybersecurity Maturity Model Specific for the Healthcare Sector: Focus on Hospitals
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    Chapter 17 Towards a Hybrid Intelligence Paradigm: Systematic Integration of Human and Artificial Capabilities
Attention for Chapter 7: Control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?
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