Advances in Computing Systems and Applications

Proceedings of the 4th Conference on Computing Systems and Applications
Herausgegeben:Senouci, Mustapha Reda; Boudaren, Mohamed El Yazid; Sebbak, Faouzi; Mataoui, M'hamed

• Broschiertes Buch

Produktbeschreibung

This proceedings book gathers selected papers presented at the 4th Conference on Computing Systems and Applications (CSA2020) held on December 14, 2020, at the Ecole Militaire Polytechnique, Algiers, Algeria. The proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics. The proceedings are a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics.

Benefits:

- Explores the latest research trends and their applications in a broad range of computer science disciplines

- Presents a collection of contributions in emerging topics in computer science and information technology

- Covers artificial intelligence,data science, computer networks and security, information systems, software engineering, and computer graphics

Produktdetails

• Lecture Notes in Networks and Systems 199
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-69417-3
• 1st ed. 2021
• Seitenzahl: 380
• Erscheinungstermin: 21. Februar 2021
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 575g
• ISBN-13: 9783030694173
• ISBN-10: 3030694178
• Artikelnr.: 60929858

Inhaltsangabe

3D Face Identication using HOG Features and Collaborative Representation.- A Study of Dimensionality Reduction for Facial Expression Recognition.- How Would Image Down-sampling and Compression Impact Object Detection in the Context of Self-driving Vehicles?.- Extreme Subject Targeting for Deep Learning Based Action Recognition.- Medium Term Electricity Load Forecasting using Machine Learning Techniques.