With wearing masks becoming a new cultural norm, facial expression recognition (FER)
while taking masks into account has become a significant challenge. In this paper, we …

This study explores the application of deep learning technologies in software development
processes, particularly in automating code reviews, error prediction, and test generation to …

With the rise of online shopping becoming an integral part of daily life, it has brought
unparalleled convenience, allowing us to purchase anything from daily necessities to luxury …

In usual, the flow of a football game have different phase, and change from one to another,
and the coach is due to observe them, understand and solve the tasks in the game by using …

The detection and classification of programming languages and file formats are crucial in a
variety of contexts, such as software analysis, code management, and cybersecurity. Despite …

Abstract The advent of Large Language Models (LLMs) in mental health applications has
opened new avenues for providing psychological support and interventions. These …

The progression of modern computing systems hinges significantly on advancements in chip
design, which in turn, are influenced by effective management strategies. This paper …

In the digital era, maintaining efficient and reliable network infrastructure is crucial for
organizational success. Network Load Balancing (NLB) plays a pivotal role in this context …

The objective of our project is to capture pictures or videos by surrounding a circle of objects,
such as chairs, tables, cars, and more.[1] Utilizing advanced 3D reconstruction technology …

Our work presents a neural network designed to convert textual descriptions into 3D models.
By leveraging the encoder-decoder architecture, we effectively combine text information with …