Proceedings of the 8th International Conference on Computational Science and Technology ICCST 2021, Labuan, Malaysia, 28–29 August / edited by Rayner Alfred, Yuto Lim.

Proceedings of the 8th International Conference on Computational Science and Technology ICCST 2021, Labuan, Malaysia, 28–29 August /

This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology (ICCST 2021), held in Labuan, Malaysia, on 28–29 August 2021. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, iden...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Alfred, Rayner (Editor), Lim, Yuto (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture notes in electrical engineering ; 835.
Subjects:
Computational intelligence.
Artificial intelligence.
Computer networks.
Quantitative research.
Online Access: Full text (Wentworth users only)
Table of Contents:
  • Optimizing the Financial Efficiency of Logistics Companies with Data Envelopment Analysis Model
  • T Research Output to Industry Use: A Readiness Study for Topic Modelling with Sentiment Analysis
  • Human Motion Recognition Based on Kinect Sensor and Leap Motion Controller
  • A Review on the Hyperparameters Used in Machine Learning Approaches for Classifying Paddy Rice Field
  • Cloud Database in Mobile Augmented Reality
  • A Brief Comparative of Indoor Positioning System
  • Application of Speech Augmented Reality for Sabah Tourism Industry
  • Analysis on the Financial Performance of Companies with TOPSIS Model. Evaluation of the Financial Distress Level of Construction Companies in Malaysia using Z-score Model
  • Mathematical Model for Scheduling Problems: A Compatibility Test on University Course Timetabling Problem
  • Vision-based Dynamic Hand Gesture Recognition Techniques and Applications: A Review
  • A Review on Statistical and Machine Learning Approaches to Forecasting the Occurrence of Covid-19 Positive Cases.

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