Full Description
The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings.
As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of problems more effectively. This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for an international conference as a venue for reporting on the latest innovations and trends.
This book collects both theory and application based chapters on virtually all aspects of artificial intelligence; presenting state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision for future research, it represents a unique and valuable asset.
Contents
Can Human Evidence Accumulation be Modeled using the Set-Theoretic Nature of Dempster-Shafer Theory?.- Emotional Speech Recognition using SMILE Features and Random Forest Tree.- A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations.- A Novel Algorithm for Dynamic Student Profile Adaptation based on Learning Styles.- Exploring Transfer Learning for Low Resource Emotional TTS.- Emotional Speech Datasets for English Speech Synthesis Purpose : A Review.- HORUS: An Emotion Recognition Tool.- Explanatory AI for Pertinent Communication in Autonomic Systems.- Bitcoin: A Total Turing Machine.- Agent-based Turing-Complete Transactions Integrating Feedback within a Blockchain System.- Decentralized Autonomous Corporations.- Validity Evaluation for the Data used for Artificial Intelligence System.- Who has Better Driving Style: Let Data Tell Us.- Visual Ontology Sketching for Preliminary Knowledge Base Design.- Shape Reconstruction from a Monocular Defocus Image using CNN.- ROM-based Deep Learning Inference for Sleep Stage Classification.- Fuzzy Control Techniques for Energy Conversion Systems.- Design and Implementation of the IMU Human Body Motion Tracking System.- Using Low-level Sensory Data to Recognize Events in a Smart Home.- The Role of Corporate Ontology in the IT Support of Processes Management.
