For the application of computer vision, this paper proposes a combination of machine
language coding method and wavelet neural network positioning method to build a robot …

Environmental monitoring should be minimally disruptive to the ecosystems that it is
embedded in. Therefore, the project Robocoenosis suggests using biohybrids that blend …

As the performance of computing devices such as graphics processing units (GPUs) has
improved dramatically, many deep neural network models, especially convolutional neural …

In this paper, we navigate the intricate domain of reviewer rewards in open-access
academic publishing, leveraging the precision of mathematics and the strategic acumen of …

With the ever-cheaper digital equipment and the prevalent digital platforms such as
Facebook and YouTube, more and more human behaviors and activities are digitalized in …

Automatic and precise biometric measures are crucial for diagnosis and supporting
important decisions in medical imaging. For several applications of medical image analysis …

Video violence recognition based on deep learning concerns accurate yet scalable human
violence recognition. Currently, most state-of-the-art video violence recognition studies use …

Effective coordination is crucial for motion control with reinforcement learning, especially as
the complexity of agents and their motions increases. However, many existing methods …

Coding, which targets compressing and reconstructing data, and intelligence, often
regarded at an abstract computational level as being centered around model learning and …

Motion blur removal caused by camera shake and object motion in 3D space has long been
a challenge in computer vision. Although RGB images are commonly used as input data for …