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The study aims to identify the fundamental concept of e-recruitment and intends to collect information regarding e-recruitment methods such as emails, corporate websites, and commercial job boards, among others, through the story of AkzoNobel, Unilever and Cathay Pacific in installing the e-recruitment system in Vietnam and in ASEAN.
7p
viyamanaka
06-02-2025
0
0
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Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced. In this paper, Random Forest (RF) based on two popular resampling techniques, named SMOTE and ADASYN, are used to obtain a banking customer churn prediction model.
6p
viyamanaka
06-02-2025
1
0
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Breastfeeding is the most important and essential practice to help children develop comprehensively, physically, mentally, and intellectually. Therefore, this study aimed to explore the breastfeeding practices among ethnic minority mothers with children under two years old in two communities in Muong Nhe district, Dien Bien province of Northern Vietnam.
7p
viyamanaka
06-02-2025
1
1
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The study aimed to evaluate the accuracy and reliability and of the system with sensor-integrated based on photometry method (PMD-HAM system) compared with the Zero method using a goniometry when measuring the range of motion of the neck joints of healthy volunteers at the Ho Chi Minh City Hospital for Rehabilitation and Occupational Diseases.
7p
viyamanaka
06-02-2025
1
1
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The primary objective of this study was to investigate the connection between temperature variations and the range of motion (ROM) in the neck and shoulder regions following specific joint movements based on Traditional Medicine practices. To accomplish this, a novel infrared measurement method was employed to enhance the accuracy of assessments.
7p
viyamanaka
06-02-2025
1
1
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This study investigates the impact of Green Human Resource Management (GHRM) on Job Performance (JP), with a focus on the mediating roles of perceived green organizational support. Drawing on data collected from employees in Vietnamese enterprises, the research utilizes PLS-SEM to examine the relationships between GHRM and job performance outcomes.
9p
viyamanaka
06-02-2025
0
0
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Natural fiber-reinforced polymer-based composites are proposed as attractive candidates to replace or reduce the use of synthetic fibers because of their many advantages. Water hyacinth fiber (WHF) is a cellulosic material with high absorption and great potential for composite materials used.
10p
viyamanaka
06-02-2025
2
2
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While blockchain ledgers publicly record cryptocurrency transactions, the anonymity of transaction participants presents challenges for forensic investigation. This study concentrates on analyzing android device-based cryptocurrency transactions tethered to hardware wallets: D'cent Biometric Wallet and Ledger Nano S.
9p
viyamanaka
06-02-2025
3
2
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In this paper, we propose a novel facial wrinkle segmentation method based on the Unet++ model, enhanced with dice and focal loss functions. Our approach begins with the construction of an enriched wrinkle dataset sourced from the Flickr-Faces-HQ dataset, ensuring diversity in wrinkle types and complexities.
7p
viyamanaka
06-02-2025
1
1
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This paper presents a lightweight deep learning-based product object classification scheme designed for deployment on edge servers. Leveraging the ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) dataset, six classes relevant to product objects are selected for model training and evaluation.
7p
viyamanaka
06-02-2025
1
1
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The study aims to explore the perspectives of the host community and local government in a CBT village-stay supported by AOP about the transformation from a CBT homestay to a CBT village-stay model.
10p
viyamanaka
06-02-2025
2
2
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Currently, the field of science and technology, particularly Artificial Intelligence (AI), is undergoing significant progress. AI involves the computer-based simulation of human cognitive functions. Within the realm of AI, machine learning, a specialized branch, utilizes mathematical algorithms to enhance computational capabilities.
10p
viyamanaka
06-02-2025
2
2
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This study optimizes ring remote phosphor structures for laser-based white lighting applications; it delves into the pursuit of high-brightness and high-luminance lighting solutions that blue laser diodes (LDs) hold promising potential.
5p
viyamanaka
06-02-2025
2
2
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The study provides empirical insights into the capabilities and limitations of current Blockchain-based voting systems, emphasizing the critical role of machine learning in enhancing system analysis.
9p
viyamanaka
06-02-2025
1
1
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Nghiên cứu này xem xét các đặc điểm Hội Đồng Quản Trị (HĐQT), quy mô công ty, loại công ty kiểm toán, tỷ suất sinh lời trên tài sản (Return on assets), dòng tiền từ hoạt động kinh doanh (Cash flow operating) tác động đến hành vi QTLN dựa trên cơ sở dồn tích (Accrual-based Earnings Management) và liệu mức độ tác động của các nhân tố này có sự khác biệt gì không giữa hai giai đoạn trước và sau dịch.
16p
hoahogxanh11
12-09-2023
9
6
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This paper presents a combined method utilizing FE analysis and MBD simulation for structural analysis in the time domain. The MBD model of the full vehicle is built with the object of the trailer frame transferred from the modal neutral file of the FE model.
11p
viyamanaka
06-02-2025
2
2
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The paper presents a new method based on an Equivalent Severity Score (ESS) to evaluate road traffic safety in an area using a geographic information system (GIS) tool, namely QGIS. The road traffic accident (RTA) data from 2021 to 2023 in Tuyen Quang province, Vietnam, was used to analyze and test this method.
10p
viyamanaka
06-02-2025
3
2
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This paper presents a system that combines torque control algorithms based on a back-propagation neural network (BP-ANN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The BP-ANN uses a multi-layer structure where the input layer processes factors such as load torque, rotational speed, and stator current, hidden layers model complex nonlinear interactions, and the output layer predicts optimal torque for AFPMSM operation.
15p
viyamanaka
06-02-2025
2
2
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This article constructs a convolutional neural network for predicting pressure and velocity fields around a twodimensional aircraft wing model (airfoil model). Training data is computed using the Reynolds-averaged method, and then extracted, focusing on the flow around the wing.
11p
viyamanaka
06-02-2025
2
2
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In this paper, we propose a novel framework for natural language-based trackedvehicle retrieval based on CLIP model, one of the most effective models for image-text matching task. This framework leverages both appearance and motion information to enhance the matching accuracy of vehicle tracklet retrieval.
15p
viyamanaka
06-02-2025
1
1
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