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.

Inhalt
Chapter 1: Optimizing the Financial Efficiency of Logistics Companies with Data Envelopment Analysis ModelLee Pei Fun, Lam Weng Siew and Lam Weng Hoe
Chapter 2: T Research Output to Industry Use: A Readiness Study for Topic Modelling with Sentiment AnalysisJih Soong Tan and Wai Chong Chia
Chapter 3: Human Motion Recognition Based on Kinect Sensor and Leap Motion ControllerChun Yung Wong, Giap Weng Ng and Ag Asri Ag Ibrahim
Chapter 4: A Review on the Hyperparameters Used in Machine Learning Approaches for Classifying Paddy Rice FieldLerryson Jomin and Rayner Alfred
Chapter 5: Cloud Database in Mobile Augmented RealityNurul Farahin Hikmatullah Darwisal, Ng Giap Weng and Angeline Lee Ling Sing
Chapter 6: A Brief Comparative of Indoor Positioning SystemMohd Aidil Safwan, Giap Weng Ng and Siti Hasnah Tanalol
Chapter 7: Application of Speech Augmented Reality for Sabah Tourism IndustryRianty Saimon, Giap Weng Ng and Siti Hasnah Tanalol
Chapter 8: Analysis on the Financial Performance of Companies with TOPSIS Model Lam Weng Siew, Lam Weng Hoe and Lee Pei Fun
Chapter 9: Evaluation of the Financial Distress Level of Construction Companies in Malaysia using Z-score ModelLiew Kah Fai, Lam Weng Siew and Lam Weng Hoe
Chapter 10: Mathematical Model for Scheduling Problems: A Compatibility Test on University Course Timetabling ProblemNur Aidya Hanum Aizam, Zuliyana Farahi Ismail, Candy Loh Siew Yen
Chapter 11: Vision-based Dynamic Hand Gesture Recognition Techniques and Applications: A ReviewNurfazlin Muhamad Feizal Franslin and Giap Weng Ng
Chapter 12: A Review on Statistical and Machine Learning Approaches to Forecasting the Occurrence of Covid-19 Positive CasesVelentine Jaulip and Rayner Alfred