Del 1321 i serien Advances in Intelligent Systems and Computing

Computational Intelligence in Information Systems

Proceedings of the Computational Intelligence in Information Systems Conference (CIIS 2020)

Häftad, Engelska, 2021

AvWida Susanty Haji Suhaili,Nor Zainah Siau,Saiful Omar,Somnuk Phon-Amuaisuk

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This book constitutes the Proceeding of the Computational Intelligence in Information Systems conference (CIIS 2020), held in Brunei, January 25–27, 2021. The CIIS conference provides a platform for researchers to exchange the latest ideas and to present new research advances in general areas related to computational intelligence and its applications. The 23 revised papers presented in this book have been carefully selected from 55 submissions.

Produktinformation

Utgivningsdatum2021-01-19
Mått155 x 235 x 15 mm
Vikt400 g
FormatHäftad
SpråkEngelska
SerieAdvances in Intelligent Systems and Computing
Antal sidor244
FörlagSpringer Nature Switzerland AG
ISBN9783030681326

Tillhör följande kategorier

Artificiell intelligens inom Data och IT

Innovation Development and R&D Project Management in Science Organizations and Universities: Data-Driven Model and Analysis.- Knowledge-Based Practices in Disaster Management: Development Towards Digital Humanism.- Destructive Digital Ecosystem of Cyber Bullying Perfective within the Information Technology Age.- A Mobile Application for Mental Health Care during COVID-19 Pandemic: Development and Usability Evaluation with System Usability Scale.- Navigation for the Vision Impaired with Spatial Audio and Ultrasonic Obstacle Sensors.- Smart Navigation Aids for Blind and Vision Impairment People.- Blockchain for the Authentication and Immutability of Academic Credentials Issued in Brunei Darussalam.- Privacy Policy, Training and Adaption of Employee Monitoring Technology to Curtail Workplace Harassment in Organizations: An Application of TAM.- A Comparative Study of Supervised Machine Learning Techniques for Deceptive Review Identification using Linguistic Inquiry and Word Count.- A Robust Ensemble Method for Classification in Imbalanced Datasets in Presence the of Noise.