A5101920263- Financial Markets and Investment Strategies
- Corporate Finance and Governance
- Auditing, Earnings Management, Governance
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Agricultural Economics and Practices
- Agricultural risk and resilience
- Smart Agriculture and AI
- Model Reduction and Neural Networks
- Advanced Multi-Objective Optimization Algorithms
- Income, Poverty, and Inequality
- QR Code Applications and Technologies
- Helicobacter pylori-related gastroenterology studies
- Educational Reforms and Innovations
- Computational Physics and Python Applications
- Topology Optimization in Engineering
- Agricultural Innovations and Practices
- Climate change impacts on agriculture
- Financial Risk and Volatility Modeling
- Irrigation Practices and Water Management
- Hydrology and Drought Analysis
- Magnetic Properties and Applications
- Corporate Social Responsibility Reporting
- Economics of Agriculture and Food Markets
- Remote Sensing in Agriculture
University of Southern Queensland
2022-2024
The University of Queensland
2018-2023
Queensland University of Technology
2023
Bond University
2021
Physics-informed neural network (PINN) has recently gained increasing interest in computational mechanics. This work extends the PINN to solid mechanics problems. Our focus will be on investigation of various formulation and programming techniques, when governing equations are implemented. Two prevailingly used physics-informed loss functions for PINN-based implemented examined. Numerical examples ranging from 1D 3D problems presented show performance The programs built via Python with...
Precise navigation in agricultural applications necessitates accurate guidance from the seedling belt, which Global Positioning System (GPS) alone cannot provide. The overlapping leaves of Chinese cabbage (Brassica pekinensis Rupr.) present significant challenges for belt fitting due to difficulties plant identification. This study aims address these by improving You Only Look Once (YOLO) v7 model with a novel approach that decouples its network head deriving Faster-Regions Convolutional...
Abstract This paper aims to estimate the parameters of time-fractional Black-Scholes (TFBS) partial differential equation with Caputo fractional derivative by using real option prices S &P 500 index options. First, numerical solution is obtained developing a high-order scheme order ( $$3-\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>3</mml:mn> <mml:mo>-</mml:mo> <mml:mi>α</mml:mi> </mml:mrow> </mml:math> ) for time discretisation. Some theoretical...
Global coffee production experiences detrimental impacts of climate change. Weather index insurance (WII) offers an opportunity for farmers to mitigate the risks in and motivate them adopt sustainable farming practices. This study explores Vietnamese farmers' willingness participate pay WII schemes coffee. A contingent valuation survey was employed on a sample 151 from two largest areas: Lam Dong Dak Lak provinces. The findings revealed that are willing pay, average, US$92.30 per policy...
Deep learning (DL) relies heavily on data, and the quality of data influences its performance significantly. However, obtaining high-quality, well-annotated datasets can be challenging or even impossible in many real-world applications, such as structural risk estimation medical diagnosis. This presents a significant barrier to practical implementation DL these fields. Physics-guided deep (PGDL) is novel type that integrate physics laws train neural networks. applied any systems are...
This study examines Cambodian farmers’ demand for weather index insurance (WII), an innovative financial product, managing climate change-related risks. Rice and cassava farmers in Battambang Province of Cambodia were interviewed to understand their preferences WII. We applied a binary logistic model quantify the factors that influence WII demand. discovered marital status off-farm labor are crucial impact More importantly, we also investigated gender differences, considering critical role...
Objective: Public interest in marathons has been rising since the Chinese government issued Outline for Building a powerful Sports Country.The purpose of this study is to analyze recent trends public marathon and related online search behavior context construction outline, make forecast analysis future development events.Methods: Baidu Index, massive engine database, was used study.By searching keyword marathon, data marathon.This also extracted trend netizens terms national fitness sports...
This study examines Cambodian rice farmers’ willingness to pay for the weather-indexed insurance (WII) proposed manage financial impact of shifting monsoon rainfall patterns in Battambang Province north-western Cambodia. Detailed interviews are conducted districts Bavel and Thma Koul. We first analyse farmer respondents’ socioeconomic demographic characteristics, climate change perceptions experience, risk attitudes, awareness insurance. The binary logistic model is used identify factors...
Purpose More studies have investigated the relation between option measures and stock returns during scheduled corporate events. This study adds to literature investigates informational role of options concerning following unscheduled news The authors focus on individual analysts' recommendation changes rather than consensus revisions, as might discard a large amount potentially valuable information in aggregation process. Design/methodology/approach Based econometric model, follow Bakshi et...
This pitching research letter presents the reverse-engineering process and personal reflections on a reverse engineered pitch by utilizing template developed Faff (2015Faff ( , 2017)).The is simple useful tool for helping PhD students other academic researchers to develop ideas enhance communication in process.In this letter, I describe steps insights during an existing journal paper into template.In summary, find it very helpful me clearly understand pitched generate my idea through applying temple.