Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 (eBook, PDF)

Redaktion: Hassanien, Aboul Ella; Gaber, Tarek; Darwish, Ashraf; Chang, Kuo-Chi; Snásel, Václav

• Format: PDF

Produktbeschreibung

This proceeding book constitutes the refereed proceedings of the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during December 11-13, 2021, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 403
• Erscheinungstermin: 8. November 2021
• Englisch
• ISBN-13: 9783030897017
• Artikelnr.: 62902220

Inhaltsangabe

Deep Learning Based Early Diagnosis for SARS-CoV-2 Using Chest X-Ray Images.- Deep Learning-based Image Captioning using to Recognize Malicious or Emergency Activity in an Image.- Deep Learning Approaches for Personal Identification based on EGG Signals.- Research on Vehicle Detection Algorithm Based on Improved YOLO.- Deep Learning Quantitative-Trading-Models' Performance Assessment: The Egyptian Exchange Stock Market As a Case Study.- Robust Crosswalk Detection Using Deep Learning Approach.- Human Trafficking Solution by Deep Learning with Keras and OpenCV.- Automatic Insulator String and Disk Detection in Aerial Images Based on a Deep Learning Approach.- Reducing Voltage Sag in Electrical Distribution System Through Comparison and Simulation between DVR and DSTATCOM.- Understating Factors Affecting Traveling During Covid-19 using Sentiment Analysis.- Factors Affecting the Adoption of Technology in Education System: Case of GCC Universities.- Comparison between Filtering Estimation with Evidence and Prediction Filtering without Evidence to Predict a Robot localization States.