Advanced Persistent Threat (APT) is a highly targeted, complex, and long-term attack targeting specific organizations or individuals, aimed at stealing sensitive data or disrupting operations. APT is ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

In this article, we propose a novel spectral tensor layer for communication-free distributed deep learning. The overall framework is as follows: first, we represent the data in tensor form (instead of ...

Second, the applied deep learning method is based on an autoencoder where a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) is utilized as the autoencoder ...

CT scanning yields useful information on the internal anatomy or pathology of the human body. Researchers are always working to use low radiation doses to create CT that is both high-quality and ...

CT imaging is critical for medical diagnostics, yet traditional reconstruction methods often struggle with noise and artifact reduction while maintaining image clarity. In this research work, an ...

The exponential increase in generated data as well as the advances in high-performance computing has paved the way for the use of complex machine learning methods. Indeed, the availability of ...

Accurate polyp segmentation in colonoscopy images is crucial for early diagnosis and timely treatment of colorectal cancer. Recently, deep learning-based methods have exhibited distinct advantages in ...

We propose a novel autoencoder framework for FTN transmission to jointly optimize the ISI caused by FTN signaling and the impairments of the physical channel. The feasibility of the framework is ...

This paper presents a lightweight deep learning (DL) model for classifying sleep stages based on single-channel EEG. The DL model was designed to run on energy- and memory-constrained devices for real ...

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...

Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches. One of the ...