A5010667167- Software Reliability and Analysis Research
- Software Engineering Research
- Software Engineering Techniques and Practices
- Digital Marketing and Social Media
- Diverse Aspects of Tourism Research
- Microfinance and Financial Inclusion
- Sentiment Analysis and Opinion Mining
- Quality Function Deployment in Product Design
- Environmental Education and Sustainability
- FinTech, Crowdfunding, Digital Finance
- Software Testing and Debugging Techniques
- Advanced Technologies in Various Fields
- Environmental Sustainability in Business
- Blockchain Technology Applications and Security
- Technology Assessment and Management
- Industrial Vision Systems and Defect Detection
- Virtual Reality Applications and Impacts
- Product Development and Customization
- Advanced Multi-Objective Optimization Algorithms
- Machine Learning and Data Classification
- Technology Adoption and User Behaviour
- Forecasting Techniques and Applications
Tomas Bata University in Zlín
2019-2024
Ho Chi Minh City University of Foreign Languages-Informatics Technology
2022-2023
Institute of Public Enterprise
2023
Instituto de Desenvolvimento Sustentável Mamirauá
2023
Van Lang University
2022
Union of Czech Mathematicians and Physicists
2022
This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Linear Regression in terms software effort estimations based on function point analysis. investigates Adjusted Function Points, Point Categories, Industry Sector, and Relative Size. The ISBSG dataset (version 2020/R1) is used as historical dataset. estimation compared among multiple models by evaluating a prediction level 0.30 standardized accuracy. According to findings, Network...
This study focuses on improving the accuracy of effort estimation by employing ensemble, deep learning, and transfer learning techniques. An ensemble approach is utilized, incorporating XGBoost, Random Forest, Histogram Gradient Boost as generators to enhance predictive capabilities. The performance method compared against both PFA-IFPUG technique. Statistical criteria including MAE, SA, MMRE, PRED(0.25), MBRE, MIBRE, relevant information related MMRE PRED(0.25) are employed for evaluation....
Objective: The advancement of Internet technology brought up the tourism industry towards new development and opportunities. With application comprises a vast range virtual communities such as Trip Advisor, Agoda, Travelocity so on. Existing research concentrated on evaluating factors influencing communities’ behaviour with limited evaluation tourist perception. This paper focused examining tourists' perception tour through sentimental analysis model based eWOM for sustainable development....
Abstract Due to the ongoing global debate regarding relationship between fintech and banks, including developing countries, this study aims investigate in case of Vietnam, an emerging nation. The analyzes search bank stock returns, which are measures respectively. time series data for returns were obtained from Google Trends Vietstock, Exploratory factor analysis was utilized derive variables, while return variable calculated using a basket eight listed banks 2017w46 2021w46. results...
The prediction level at x (PRED(x)) and mean magnitude of relative error (MMRE) are measured based on the between real predicted values. They standard metrics that evaluate accurate effort estimates. However, these values might not reveal over-/under-estimation. This study aims to define additional information associated with PRED(x) MMRE help practitioners better interpret those We propose formulas express scatters predictive versus actual left (sigLeft), right (sigRight), (sig). depict...
The main purpose of this study is to capture key pro-environmental behaviours that are triggered when individuals subjected a virtual environment simulation pristine tourism destination. made use reality headsets gauge potential predictors behaviour. Pre and post intervention response differentials were recorded through structured questionnaire on 100 individuals. was divided into two stages. first stage comprised the PLS-SEM algorithm which empirically tested postulations anchored...
Over the last few years, more and people have been using YouTube videos to experience virtual reality travel. Many individuals utilize comments voice their ideas or criticize a subject on YouTube. The number of replies 360-degree unidirectional is enormous might differ between two kinds videos. This presents problem efficiently evaluating user opinions with respect which type video will be appealing viewers, positive comments, interest. paper aims study SentiStrength-SE SenticNet7 techniques...