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View article: Can LLMs Play Ô Ăn Quan Game? A Study of Multi-Step Planning and Decision Making
Can LLMs Play Ô Ăn Quan Game? A Study of Multi-Step Planning and Decision Making Open
In this paper, we explore the ability of large language models (LLMs) to plan and make decisions through the lens of the traditional Vietnamese board game, Ô Ăn Quan. This game, which involves a series of strategic token movements and capt…
View article: SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition
SOS: A Shuffle Order Strategy for Data Augmentation in Industrial Human Activity Recognition Open
In the realm of Human Activity Recognition (HAR), obtaining high quality and variance data is still a persistent challenge due to high costs and the inherent variability of real-world activities. This study introduces a generation dataset …
View article: Multi-Perspective Data Augmentation for Few-shot Object Detection
Multi-Perspective Data Augmentation for Few-shot Object Detection Open
Recent few-shot object detection (FSOD) methods have focused on augmenting synthetic samples for novel classes, show promising results to the rise of diffusion models. However, the diversity of such datasets is often limited in representat…
View article: Calponin 3 Regulates Myoblast Proliferation and Differentiation Through Actin Cytoskeleton Remodeling and YAP1-Mediated Signaling in Myoblasts
Calponin 3 Regulates Myoblast Proliferation and Differentiation Through Actin Cytoskeleton Remodeling and YAP1-Mediated Signaling in Myoblasts Open
An actin-binding protein, known as Calponin 3 (CNN3), modulates the remodeling of the actin cytoskeleton, a fundamental process for the maintenance of skeletal muscle homeostasis. Although the roles of CNN3 in actin remodeling have been es…
View article: Essential Role of Cortactin in Myogenic Differentiation: Regulating Actin Dynamics and Myocardin-Related Transcription Factor A-Serum Response Factor (MRTFA-SRF) Signaling
Essential Role of Cortactin in Myogenic Differentiation: Regulating Actin Dynamics and Myocardin-Related Transcription Factor A-Serum Response Factor (MRTFA-SRF) Signaling Open
Cortactin (CTTN) is an actin-binding protein regulating actin polymerization and stabilization, which are vital processes for maintaining skeletal muscle homeostasis. Despite the established function of CTTN in actin cytoskeletal dynamics,…
View article: Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition Open
Unsupervised domain adaptation (UDA) has become increasingly prevalent in scene text recognition (STR), especially where training and testing data reside in different domains. The efficacy of existing UDA approaches tends to degrade when t…
View article: Intrinsic Motivational States Can Be Classified by Non-Contact Measurement of Autonomic Nervous System Activation and Facial Expressions
Intrinsic Motivational States Can Be Classified by Non-Contact Measurement of Autonomic Nervous System Activation and Facial Expressions Open
Motivation is a primary driver of goal-directed behavior. Therefore, the development of cost-effective and easily applicable systems to objectively quantify motivational states is needed. To achieve our goal, this study investigated the fe…
View article: Key Information Extraction and Recognition from Rich Text Images
Key Information Extraction and Recognition from Rich Text Images Open
Key information extraction and recognition from rich text images are crucial for various applications. There are two main tasks involved in this process: Line Item Recognition (LIR) and Key Information Localization and Extraction (KILE). L…
View article: Political corruption and financial statement disaggregation decisions: The role of corporate culture
Political corruption and financial statement disaggregation decisions: The role of corporate culture Open
View article: SignboardText: Text Detection and Recognition in In-the-Wild Signboard Images
SignboardText: Text Detection and Recognition in In-the-Wild Signboard Images Open
Scene text detection and recognition have attracted much attention in recent years because of their potential applications. Detecting and recognizing texts in images may suffer from scene complexity and text variations. Some of these probl…
View article: The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation Open
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camouflaged animals in natural scenes. In this paper, we addres…
View article: Using Machine Learning and Counterfactual Explanations for Financial Distress Prediction
Using Machine Learning and Counterfactual Explanations for Financial Distress Prediction Open
View article: The current status of dietary characteristics of outpatients with chronic obstructive pulmonary disease at Viet Tiep Friendship Hospital, Hai Phong in 2022
The current status of dietary characteristics of outpatients with chronic obstructive pulmonary disease at Viet Tiep Friendship Hospital, Hai Phong in 2022 Open
A cross-sectional descriptive survey on 100 people with chronic obstructive pulmonary disease receiving outpatients at Viet Tiep Friendship Hospital in Hai Phong aims to describe the current status of dietary intake of patients. The study …
View article: Acquisition of Color Reproduction Technique based on Deep Learning Using a Database of Color-converted Images in the Printing Industry
Acquisition of Color Reproduction Technique based on Deep Learning Using a Database of Color-converted Images in the Printing Industry Open
Color-space conversion technology is important to output accurate colors on different devices. In particular, CMYK (Cyan, Magenta, Yellow and Key plate) used by printers has a limited range of representable colors compared with RGB (Red, G…
View article: An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks
An Accurate Platform for Investigating TCP Performance in Wi-Fi Networks Open
An increasing number of devices are connecting to the Internet via Wi-Fi networks, ranging from mobile phones to Internet of Things (IoT) devices. Moreover, Wi-Fi technology has undergone gradual development, with various standards and imp…
View article: Instance-level Few-shot Learning with Class Hierarchy Mining
Instance-level Few-shot Learning with Class Hierarchy Mining Open
Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively utilizing the relationship between categories. I…
View article: The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation Open
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camouflaged animals in natural scenes. In this paper, we addres…
View article: Table of Contents
Table of Contents Open
View article: Issue Information
Issue Information Open
Aims and ScopeAccounting & Finance enjoys an excellent reputation as an academic journal that publishes articles addressing signifi cant research questions from a broad range of perspectives.The journal:• publishes signifi cant contributio…
View article: An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network Open
This paper provides an analysis of state-of-the-art activation functions with respect to supervised classification of deep neural network. These activation functions comprise of Rectified Linear Units (ReLU), Exponential Linear Unit (ELU),…
View article: Signboardtext: Text Detection and Recognition in In-the-Wild Signboard Images
Signboardtext: Text Detection and Recognition in In-the-Wild Signboard Images Open
View article: An Evaluation of Deep Learning Methods for Small Object Detection
An Evaluation of Deep Learning Methods for Small Object Detection Open
Small object detection is an interesting topic in computer vision. With the rapid development in deep learning, it has drawn attention of several researchers with innovations in approaches to join a race. These innovations proposed compris…
View article: Person re-identification with mutual re-ranking
Person re-identification with mutual re-ranking Open
Person re-identification is the problem of identifying people moving across cameras. Traditional approaches deal with this problem by pair-wise matching images recorded from two different cameras. A person in the second camera is identifie…
View article: News Archive Exploration Combining Face Detection and Tracking with Network Visual Analytics
News Archive Exploration Combining Face Detection and Tracking with Network Visual Analytics Open
International audience
View article: When face-tracking meets social networks: a story of politics in news videos
When face-tracking meets social networks: a story of politics in news videos Open
View article: Human Action Recognition from Depth Videos Using Pool of Multiple Projections with Greedy Selection
Human Action Recognition from Depth Videos Using Pool of Multiple Projections with Greedy Selection Open
Depth-based action recognition has been attracting the attention of researchers because of the advantages of depth cameras over standard RGB cameras. One of these advantages is that depth data can provide richer information from multiple p…
View article: Efficient Large Scale Image Classification via Prediction Score Decomposition
Efficient Large Scale Image Classification via Prediction Score Decomposition Open
View article: A Social Network Analysis of Face Tracking in News Video
A Social Network Analysis of Face Tracking in News Video Open
International audience
View article: Transfer AdaBoost SVM for Link Prediction in Newly Signed Social Networks using Explicit and PNR Features
Transfer AdaBoost SVM for Link Prediction in Newly Signed Social Networks using Explicit and PNR Features Open
In signed social network, the user-generated content and interactions have overtaken the web. Questions of whom and what to trust has become increasingly important. We must have methods which predict the signs of links in the social networ…