3D PSwinBTS: an efficient transformer-based Unet using 3D parallel shifted windows for brain tumor segmentation
J Liang, C Yang, L Zeng - Digital Signal Processing, 2022 - Elsevier
Abstract Computer-Aided Decision is a vital component in modern smart medical care. A fast
and accurate automated MRI brain tumor segmentation method is critical for clinical …
and accurate automated MRI brain tumor segmentation method is critical for clinical …
Classification of Low-and High-Entropy File Fragments Using Randomness Measures and Discrete Fourier Transform Coefficients
K Skračić, J Petrović, P Pale - Vietnam journal of computer science, 2023 - World Scientific
This paper presents an approach to improve the file fragment classification by proposing
new features for classification and evaluating them on a dataset that includes both low-and …
new features for classification and evaluating them on a dataset that includes both low-and …
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
File fragment classification (FFC) on small chunks of memory is essential in memory
forensics and Internet security. Existing methods mainly treat file fragments as 1d byte …
forensics and Internet security. Existing methods mainly treat file fragments as 1d byte …
Intra-and inter-sector contextual information fusion with joint self-attention for file fragment classification
File fragment classification (FFC) aims to identify the file type of file fragments in memory
sectors, which is of great importance in memory forensics and information security. Existing …
sectors, which is of great importance in memory forensics and information security. Existing …
Image representation and deep inception-attention for file-type and malware classification
File-type classification aims to recognize the file types of files/fragments without file-system
metadata, which is essential for memory forensics and data recovery. In this paper, we …
metadata, which is essential for memory forensics and data recovery. In this paper, we …
Intelligent phase detection of signals on varying SNR using machine learning algorithms
S Halder, S Sonar - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
The phase detection as a part of phased-locked loop (PLL) circuit is a critical component in
any telecommunication systems. With the advancement of modern-era technologies, the …
any telecommunication systems. With the advancement of modern-era technologies, the …