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

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