Loh, Wing Son Tan, Wei Lun Chin, Ren Jie Ling, Lloyd Phoon, Sheong Wei Seah, Choon Sen
Published in
ITM Web of Conferences
Rainfall data plays a vital role in various fields including agriculture, hydrology, climatology, and water resource management. Stakeholders had raised concerns over the issue of missing rainfall data as it presents a huge obstacle in achieving reliable climate forecasts. Therefore, it is necessary to perform accurate estimation for the missing da...
Pang, Sook Theng Liew, How Hui Khor, Wei Sheng
Published in
ITM Web of Conferences
The universal portfolio is a portfolio investment strategy which theoretically achieves good return. Brownian motion is a stochastic process which is heavily applied in various financial derivative pricing. The goal of this study aims to investigate the performance of finite order Brownian motion process generated universal portfolio (BMPGUP) using...
Chia, Xin Ying Kuang, Kee Seng Lee, Hui Shan Phoon, Sheong Wei Tan, Choon Peng
Published in
ITM Web of Conferences
There are numerous universal portfolios generated in different studies using various divergence functions to achieve one goal, which is to maximize wealth. To extend the exploration, through this study, we have generated a new universal portfolio using the Hellinger distance. We conducted a comprehensive performance evaluation of our newly develope...
Rosli, Siti Nur Idara Zulkifly, Mohammad Izat Emir
Published in
ITM Web of Conferences
The problem of gathering data with uncertainty is difficult to address since certain values are eliminated owing to noise. Thus, the fundamental gap revealed is that fuzzy and intuitionistic fuzzy sets cannot deal with indeterminacy problems as compared to neutrosophic sets. This research demonstrates how to use a neutrosophic set to approximate th...
Sultan, Hasnain Chan, Lee-Kwun Siew, Pei-Hwa Lee, Chen Kang
Published in
ITM Web of Conferences
The integration of cloud computing and business intelligence enables analytics solutions through cloud environments. Despite the fears about issues such as security, privacy, and loss of data control issue, many enterprises are increasingly adopting cloud business intelligence (cloud BI). The interest in cloud BI is greatest among businesses and or...
Lim, Huai Tein Yong, Irene-Seok Ching Ng, Peh Sang Song, Poh Choo
Published in
ITM Web of Conferences
Developing an effective nurse shifts assignment system, that considers diverse nurse preferences and fairness as well as ward coverage in practical operational scenarios, is a complex and time-consuming task. Failing to address various constraints with different levels of precedence can lead to undesirable nurse schedules. The efficiency of such a ...
Mohd Azhar, Ahmad Faiz Kamarudin, Adina Najwa
Published in
ITM Web of Conferences
Time-dependent receiver operating characteristic (ROC) curve is useful to measure the accuracy performance over time. In this paper, we have shown how to determine the accuracy trend using proportional hazard model with continuous skewed normal biomarker and skewed normal time-to-event. Bayesian inference and adaptive multivariate integration over ...
Othman, Ainin Zakiah Zainal Abidin, Nur Balqishanis
Published in
ITM Web of Conferences
In response to the dynamic changes in the contemporary world, innovation has become imperative for Private Higher Education Institutions (HEIs) to keep pace with evolving institutions. While Total Quality Management (TQM) practices have been extensively examined in the context of determining factors supporting innovation performance, conflicting re...
Oh, Sing Yee Hang, See Pheng Wang, Jasmine Thye Wei
Published in
ITM Web of Conferences
Residential property prices prediction is essential for evaluating market value and identifying over-pricing or under-pricing. This study investigates the performance of various machine learning algorithms, including Decision Tree (DT), Random Forest (RF), and Multilayer Perceptron (MLP) in predicting residential property prices. The study performs...
Yeoh, Hong Beng Yap, Zhi Hui
Published in
ITM Web of Conferences
Recently, ChatGPT is widely leveraged as information searching and drilling natural language processing tool to facilitate academic learning. However, a comprehensive framework is indeed lacking for its effective deployment in educational institutions. Thus, this research aims to analyse technological performance-related variables while using ChatG...
