
Novelties in Intelligent Digital Systems
Description
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This book presents the proceedings of the 1st International Conference on Novelties in Intelligent Digital Systems (NIDS2021), held in Athens, Greece, from 30 September to 1 October 2021. The conference took place as a virtual event due to COVID-19 restrictions. The NIDS conference lays special emphasis on the novelties of intelligent systems and on the interdisciplinary research which enables, supports, and enhances Artificial Intelligence (AI) in software development. It promotes high-quality research, creating a forum for the exploration of challenges and new advances in AI, and addresses experts, researchers and scholars in the fields of artificial and computational intelligence in systems and in computer sciences in general, enabling them to learn more about pertinent, strongly related and mutually complementary fields. The conference promotes an exchange of ideas, reinforcing and expanding the network of researchers, academics, and market representatives.
The 30 accepted papers included here have each been reviewed rigorously by two or three reviewers through a double-blind process which reflects the commitment of the IIS academic community to make NIDS a top-flight, selective and high-quality conference. They are grouped in 6 sections, and cover the topics of Learning; Extended Reality; Data Mining and Machine Learning; Health and Environment; Brain Assessment and Reasoning; and Computer Vision
Describing some very significant research and reflecting many interesting new ideas, the book will be of interest to all those working in the field.
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Content
- Intro
- Title Page
- Preface
- Organization
- Contents
- Learning
- An Alternative Educational Tool Through Interactive Software over Facebook in the Era of COVID-19
- Forced epsilon-Greedy, an Expansion to the epsilon-Greedy Action Selection Method
- A Methodology for Assessing the Impact of Error Components in Gait Analysis Using Closed-Loop Testing on a Biomimetic Rig
- Development of an Innovative Learning Methodology Aiming to Optimise Learners' Spatial Conception in an Online Mechanical CAD Module During COVID-19 Pandemic
- Enhancing the Effectiveness of Intelligent Tutoring Systems Using Adaptation and Cognitive Diagnosis Modeling
- Ambient Intelligence and Smart Environments: A Preliminary Overview
- Extended Reality
- Virtual Reality Tool for Rehabilitation of Patients with Parkinson's Disease: A Conceptual Design Review
- Toward Personalizing Alzheimer's Disease Therapy Using an Intelligent Cognitive Control System
- On the Development of a Personalized Augmented Reality Spatial Ability Training Mobile Application
- Zoo Therapy for Alzheimer's Disease with Real-Time Speech Instruction and Neurofeedback System
- A Framework for Personalized Fully Immersive Virtual Reality Learning Environments with Gamified Design in Education
- A Novel Framework Incorporating Augmented Reality and Pedagogy for Improving Reading Comprehension in Special Education
- GunitaHu: A VR Serious Game with Montessori Approach for Dementia Patients During COVID-19
- Intelligence and Intelligent Simulation
- Data Mining and Machine Learning
- Creating a Metamodel for Predicting Learners' Satisfaction by Utilizing an Educational Information System During COVID-19 Pandemic
- Evaluating the Usefulness of Unsupervised Monitoring in Cultural Heritage Monuments
- Implementing Hierarchical Indoor Semantic Location Identity Classification: A Case Study for COVID-19 Proximity Tracking in the Philippines
- Data Mining for Improving Online Higher Education Amidst COVID-19 Pandemic: A Case Study in the Assessment of Engineering Students
- Visual Analytics in Process Mining for Supporting Business Process Improvement
- ActiveCrowds: A Human-in-the-Loop Machine Learning Framework
- A Fuzzy C-Means-Based Algorithm for the Surveillance of Dengue Cases Distribution in Local Communities
- Application Programming Interface for a Customer Experience Analysis Tool
- Health and Environment
- An Introduction to the euPOLIS Project
- Assessing the Lockdown Effects on Air Quality During COVID-19 Era
- Smart Technologies and the Case of People with Disabilities: A Preliminary Overview
- Designing Personalisation in a Environmental Recommendation System: Differences of AHP and Fuzzy AHP
- Brain Assessment and Reasoning
- Prediction of Amusement Intensity Based on Brain Activity
- Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work
- Computer Vision
- Real-Time Face Mask Detector Using Convolutional Neural Networks Amidst COVID-19 Pandemic
- Unsupervised Man Overboard Detection Using Thermal Imagery and Spatiotemporal Autoencoders
- Subject Index
- Author Index
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