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Intelligent Technologies and Applications : 4th International Conference, INTAP 2021, Grimstad, Norway, October 11-13, 2021, Revised Selected Papers / edited by Filippo Sanfilippo, Ole-Christoffer Granmo, Sule Yildirim Yayilgan, Imran Sarwar Bajwa.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1616
- Communications in Computer and Information Science, 1865-0937 ; 1616
- Language:
- English
- Subjects (All):
- Computer networks.
- Application software.
- Artificial intelligence.
- Data protection.
- Computer vision.
- Computer Communication Networks.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Data and Information Security.
- Computer Vision.
- Local Subjects:
- Computer Communication Networks.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Data and Information Security.
- Computer Vision.
- Physical Description:
- 1 online resource (XIV, 434 pages) : 165 illustrations, 130 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 4th International Conference on Intelligent Technologies and Applications, INTAP 2021, held in Grimstad, Norway, October 11-13, 2021. The 33 full papers included in this book were carefully reviewed and selected from 243 submissions. They were organized in topical sections as follows: Intelligence, Decision support systems, IoT; Robotics; ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management; Smart Electrical Energy Systems, AI and ML in Security; ML and AI for sensing technologies, Social Media Analytics; ML in energy sectors and materials; and Miscellaneous.
- Contents:
- Intelligence, Decision support systems, IoT
- Dense Nearest Neighborhood Query
- Explainable nonlinear modelling of multiple time series with invertible neural networks
- Iterative Learning for Semi-automatic Annotation Using User Feedback
- Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression
- A Novel Group Teaching Optimization Algorithm based Artificial Neural Network for Classification
- On the Effects of Properties of the Minibatch in Reinforcement Learning
- A novel migration simulation and prediction tool
- Development Environment for Software-defined Smart City Networks
- Robotics
- Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems
- A Multi-Modal Auditory-Visual-Tactile e-Learning Framework
- A Perspective on Intervention Approaches for Children with Autism Spectrum Disorder
- framework for hazard identification of a collaborative Plug&Produce system
- ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management
- Future Perspectives on Automated Machine Learning in Biomedical Signal Processing
- DeepFireNet - A Light-Weight Model for Fire-Smoke Classification
- Smart Electrical Energy Systems, AI and ML in Security
- THD Reduction Comparison of Three Phase SPPS via Conventional RC and Novel PRESH Controller
- Artificial Neural Network (ANN) trained by a Novel Arithmetic Optimization Algorithm (AOA) for Short Term Forecasting of Wind Power
- Bode Plot Analysis of PRES and Novel PRESH controller interfaced with three phase GTSPPS
- Energy tracing and blockchain technology: a primary review
- Emulation of IEC 60870-5-104 Communication in Digital Secondary Substations
- ML and AI for sensing technologies, Social Media Analytics
- Point Cloud Instance Segmentation for Automatic Electric Vehicle Battery Disassembly
- Radar-Based Passive Step Counter and its Comparison with a Wrist-Worn Physical Activity Tracker
- Principles for the Arrangement of Social Media Listening Practices in Crisis Management
- AMUSED: An Annotation Framework of Multi-modal Social Media Data
- ML in energy sectors and materials
- An evaluation of predictor variables for photovoltaic power forecasting
- Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
- Detecting the linear and non-linear causal links for disturbances in the power grid
- Machine Learning for PV System Operational Fault Analysis: Literature Review
- Miscellaneous
- An overview of Data Based Predictive Modeling Techniques used in Analysis of Vehicle Crash Severity
- An Evaluation of Autonomous Car Simulators and their applicability for Supervised and Reinforcement Learning
- Classification of Mechanical Fault-Excited Events based on Frequency
- Intelligent Technologies in the Process of Recovering Historical, Cultural, and Heritage Value in Native Communities
- Tensile Experiments on Adhesion between Aluminium Profiles and Glass
- Machine learning for capacity utilization along the routes of an urban freight service.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-10525-8
- 9783031105258
- Access Restriction:
- Restricted for use by site license.
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