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Intelligent Technologies and Applications : Third International Conference, INTAP 2020, Gjøvik, Norway, September 28-30, 2020, Revised Selected Papers / edited by Sule Yildirim Yayilgan, Imran Sarwar Bajwa, Filippo Sanfilippo.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1382
- Communications in Computer and Information Science, 1865-0937 ; 1382
- 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, 418 pages) : 134 illustrations, 113 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed post-conference proceedings of the Third International Conference on Intelligent Technologies and Applications, INTAP 2020, held in Grimstad, Norway, in September 2020. The 30 revised full papers and 4 revised short papers presented were carefully reviewed and selected from 117 submissions. The papers of this volume are organized in topical sections on image, video processing and analysis; security and IoT; health and AI; deep learning; biometrics; intelligent environments; intrusion and malware detection; and AIRLEAs.
- Contents:
- Image, Video Processing and Analysis
- Classification and Segmentation Models for Hyperspectral Imaging- An Overview
- Exploring Circular Hough Transforms for Detecting Hand Feature Points in Noisy Images from Ghost-Circle Patterns
- Occupancy Flow Control - Case Study: Elevator Cabin
- Security and IoT
- Protecting IoT Devices with Software-defined Networks
- Digital Forensic Readiness in IoT - a risk assessment model
- System Requirements of Software-defined IoT Networks for Critical Infrastructure
- An Optimized IoT-based Waste Collection and Transportation Solution: A Case Study of a Norwegian Municipality
- Health and AI
- Machine Learning based methodology for Depressive Sentiment Analysis
- Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis
- A Statistical Study to Analyze the Impact of External Weather on Chronic Pulmonary Infection in South Norway with Machine Learning Algorithms
- Deep Learning
- Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders
- Evaluating Predictive Deep Learning Models
- Pre-trained CNN based deep features with hand-crafted features and patient data for skin lesion classification
- Data-Driven Machine Learning Approach for Human Action Recognition Using Skeleton and Optical Flow
- Biometrics
- Multilingual Voice Impersonation Dataset and Evaluation
- A Survey on Unknown Presentation Attack Detection for Fingerprint
- Hierarchical Interpolation of Imagenet features for Cross-dataset Presentation Attack Detection
- Cross-lingual Speaker Verification: Evaluation On X-Vector Method
- Fusion of Texture and Optical Flow using Convolutional Neural Networks for Gender Classification in Videos
- Intelligent Environments
- A PM 2.5 Forecasting Model Based on Air Pollution and Meteorological Conditions in Neighboring Areas
- The Aquatic Surface Robot (AnSweR), a lightweight, low cost, multipurpose unmanned research vessel
- Intrusion and Malware Detection
- Empirical Analysis of Data Mining Techniques in Network Intrusion Detection Systems
- Deep Neural Network based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks
- Towards Low Cost and Smart Load Testing as a Service using Containers
- Security Guard: An Automated Secure Coding Framework
- The multi-objective feature selection in Android malware detection system
- AIRLEAs
- Border Management Systems: How can they help against pandemics
- Translating Ethical Theory into Ethical Action: An Ethic of Responsibility Approach to Value-Oriented Design
- An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE
- Unsupervised Single Image Super-Resolution using Cycle Generative Adversarial Network
- Criminal Network Community Detection in Social Media Forensics
- Data Privacy in IoT Equipped Future Smart Homes
- Machine Learning and the Legal Framework for the Use of Passenger Name Record Data
- Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-71711-7
- 9783030717117
- Access Restriction:
- Restricted for use by site license.
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