With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …

Autoencoders are a self-supervised learning system where, during training, the output is an
approximation of the input. Typically, autoencoders have three parts: Encoder (which …

In the past decade, wired and wireless computer networks have substantially evolved
because of the rapid development of technologies such as the Internet of Things (IoT) …

Schizophrenia (SZ) is a mental disorder whereby due to the secretion of specific chemicals
in the brain, the function of some brain regions is out of balance, leading to the lack of …

Deep learning-based machine learning models have shown significant results in speech
recognition and numerous vision-related tasks. The performance of the present speech-to …

Aiming at the problem of low accuracy of traditional brain tumor detection, in this paper, a
combination of multimodal information fusion and convolution neural network detection …

The continuous development in Automatic Speech Recognition has grown and
demonstrated its enormous potential in Human Interaction Communication systems. It is …

Cycle life testing in battery development is crucial for the selection of a formulation, but it is
time-consuming and costly for battery enterprises. A test optimization approach for different …

Gravity inversion is a process that obtains the spatial structure and physical properties of
underground anomalies using surface collected gravity anomaly data. In recent years, the …

The model interpretability refers to the ability to express the real system behavior in an
understandable way. With the increasing of reliability requirements in engineering practice …