Abstract Classification of Brain Tumor (BT) is a vital assignment for assessing Tumors and
making a suitable treatment. There exist numerous imaging modalities that are utilized to …

Remarkable achievements have been attained with Generative Adversarial Networks
(GANs) in image-to-image translation. However, due to a tremendous amount of parameters …

Technology and the rapid growth in the area of brain imaging technologies have forever
made for a pivotal role in analyzing and focusing the new views of brain anatomy and …

Score-based generative models (SGMs) synthesize new data samples from Gaussian white
noise by running a time-reversed Stochastic Differential Equation (SDE) whose drift …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Typically, the deployment of face recognition models in the wild needs to identify low-
resolution faces with extremely low computational cost. To address this problem, a feasible …

The process of diagnosing brain tumors is very complicated for many reasons, including the
brain's synaptic structure, size, and shape. Machine learning techniques are employed to …

Spike camera, a new type of neuromorphic visual sensor that imitates the sampling
mechanism of the primate fovea, can capture photons and output 40000 Hz binary spike …

Recently, remarkable object detection and facial expression recognition (FER) approaches
have been made by researchers. However, all of these models are trained and tested on …

Object categories inherently form a hierarchy with different levels of concept abstraction,
especially for fine-grained categories. For example, birds (Aves) can be categorized …