With the rapid increase in the amount and type of malware, traditional methods of malware
detection and family classification for IoT applications through static and dynamic analysis …

Excellent performance has been demonstrated in implementing challenging agricultural
production processes using modern information technology, especially in the use of artificial …

Advancements in machine learning have led to an increased interest in applying deep
reinforcement learning techniques to investment decision-making problems. Despite this …

In deep learning based stock trading strategy models, most of the research just use simple
convolutional neural networks (CNN) to process stock data. But task-specific neural network …

This study aims to enrich the knowledge of the monument Arco della Pace in Milan,
surveying and modelling the sculpture that crowns the upper part of the building. The statues …

Object detection in real-world scenarios with multi-modal inputs is crucial for some safety-
critical systems, such as autonomous driving, security monitoring, and traffic management …

Nowadays, the attack and defense of malware have presented asymmetric characteristic
threats, which has disrupted the pace of IoT research. Traditional detection and family …

ABSTRACT The domain of Computer Vision Algorithms has achieved exemplary
development in the past few years. Owing to its wide range of applications, especially in …

The license plate recognition is an important part of the intelligent traffic management
system, and the application of deep learning to the license plate recognition system can …

Facial expression recognition (FER) is a hot topic in computer vision, especially as deep
learning based methods are gaining traction in this field. However, traditional convolutional …