Intelligent Technologies and Applications (eBook, PDF)

Third International Conference, INTAP 2020, Gjøvik, Norway, September 28-30, 2020, Revised Selected Papers
Redaktion: Yildirim Yayilgan, Sule; Sanfilippo, Filippo; Bajwa, Imran Sarwar

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 418
• Erscheinungstermin: 14. März 2021
• Englisch
• ISBN-13: 9783030717117
• Artikelnr.: 62300440

Inhaltsangabe

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 usingDeep 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 PassengerName Record Data.- Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content.