Proceedings of the 8th International Conference on Computational Science and Technology

ICCST 2021, Labuan, Malaysia, 28–29 August

AvRayner Alfred,Yuto Lim

Inbunden, Engelska, 2022

Del 835 i serien Lecture Notes in Electrical Engineering

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Beskrivning

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, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.

Produktinformation

Utgivningsdatum:2022-03-29
Mått:155 x 235 x 52 mm
Vikt:1 699 g
Format:Inbunden
Språk:Engelska
Serie:Lecture Notes in Electrical Engineering
Antal sidor:905
Förlag:Springer Verlag, Singapore
ISBN:9789811685149

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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 MachineLearning Approaches to Forecasting the Occurrence of Covid-19 Positive Cases.