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All Journal International Journal of Electrical and Computer Engineering Binus Business Review
Ali Vafaei-Zadeh
Universiti Sains Malaysia
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

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Realtime face matching and gender prediction based on deep learning Thongchai Surinwarangkoon; Vinh Truong Hoang; Ali Vafaei-Zadeh; Hayder Ibrahim Hendi; Kittikhun Meethongjan
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i4.pp4068-4075

Abstract

Face analysis is an essential topic in computer vision that dealing with human faces for recognition or prediction tasks. The face is one of the easiest ways to distinguish the identity people. Face recognition is a type of personal identification system that employs a person’s personal traits to determine their identity. Human face recognition scheme generally consists of four steps, namely face detection, alignment, representation, and verification. In this paper, we propose to extract information from human face for several tasks based on recent advanced deep learning framework. The proposed approach outperforms the results in the state-of-the-art.
Customers’ Purchase Intentions on Herbal Products and Supplements During the COVID-19 Pandemic Syafrizal Syafrizal; Idris Gautama So; Ali Vafaei-Zadeh
Binus Business Review Vol. 15 No. 1 (2024): Binus Business Review
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/bbr.v15i1.10447

Abstract

The research aimed to extend the Theory of Planned Behavior (TPB) by including health consciousness and health value as predictors of purchase intention on herbal products and supplements. The research applied quantitative hypothesis testing. Then, the convenience sampling technique was used in collecting research data. The survey was conducted on 260 herbal and supplement customers in West Sumatra. The research instrument was adapted from previous studies. Then, the research data were analyzed using Structural Equation Modelling (SEM) techniques with the software SmartPLS 3.0. The testing of extended TPB in the research finds that health consciousness and health value have a positive and significant effect on customers’ attitudes and purchase intentions. Among the three main predictors of purchase intention in TPB (customer attitude, subjective norm, and behavioral control), only control behavior positively and significantly affects purchase intention. This extended TPB contributes to the theory of purchase intention by including health consciousness and health value as new predictors in customers’ purchase intentions, especially for herbal products and supplements. The research implications are that marketers and other stakeholders need to carry out effective marketing communications about products and events that support the development of healthy patterns and lifestyles and spend some effort to facilitate consumers' access to herbal products and supplements.
Co-Authors Hayder Ibrahim Hendi Idris Gautama So Kittikhun Meethongjan Syafrizal Syafrizal Thongchai Surinwarangkoon Vinh Truong Hoang