Results 51 to 60 of about 3,626 (230)

A Serial Concatenation of Binary-Input Nonbinary-Output Convolutional Code and Recursive Convolutional Lattice Code

IEEE Access, 2018
The recently proposed recursive convolutional lattice code (RCLC) can form a signal with pseudo-Gaussian constellations, and their parallel concatenation is shown to approach the Shannon limit. A practical limitation is that its input symbol is limited to L2-ary quadrature amplitude modulation (QAM), which has non-power-of-two constellation points when
Toshiki Matsumine, Hideki Ochiai
openaire   +3 more sources

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Turbo equalization of serially concatenated systematic convolutional codes and systematic space time trellis codes [PDF]

, 2002
B.L. Yeap, T.H. Liew, Lajos Hanzo
openalex   +1 more source

SFNIC: Hybrid Spatial‐Frequency Information for Lightweight Neural Image Compression

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural image compression (NIC) has shown remarkable rate‐distortion (R‐D) efficiency. However, the considerable computational and spatial complexity of most NIC methods presents deployment challenges on resource‐constrained devices. We introduce a lightweight neural image compression framework designed to efficiently process both local and ...
Youneng Bao, Wen Tan, Mu Li, Jiacong Chen, Qingyu Mao, Yongsheng Liang   +5 more
wiley   +1 more source

IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate genotyping and prognosis of glioma patients present significant clinical challenges, often dependent on subjective judgement and insufficient scientific evidence. This study aims to develop a robust, noninvasive preoperative multi‐modal MRI‐based transformer learning model to predict IDH genotyping and glioma prognosis.
Xuan Yu, Yaping Wu, Yan Bai, Nan Meng, Shuting Jin, Qingxia Wu, Lijuan Chen, Ningli Wang, Xiaosheng Song, Guofeng Shen, Meiyun Wang   +10 more
wiley   +1 more source

A Prior Causality‐Guided Multi‐View Diffusion Network for Brain Disorder Classification

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Functional brain networks have been used to diagnose brain disorders such as autism spectrum disorder (ASD) and attention‐deficit/hyperactivity disorder (ADHD). However, existing methods not only fail to fully consider various levels of interaction information between brain regions, but also limit the transmission of information among ...
Xubin Wu, Yan Niu, Xia Li, Jie Xiang, Yidi Li   +4 more
wiley   +1 more source

V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate medical image segmentation plays a crucial role in improving the precision of computer‐aided diagnosis. However, complex boundary shapes, low contrast and blurred anatomical structures make fine‐grained segmentation a challenging task.
Yang Zhang, Qiang Yang, Tian Li, Fanghong Zhang, Yu Ren, Yinhao Li, Chuanyun Xu   +6 more
wiley   +1 more source

Enhanced image‐splicing classification: A resilient and scale‐invariant approach utilizing edge‐weighted local texture features

Journal of Forensic Sciences, EarlyView.
Abstract The spread of image editing tools demonstrates how modern mixed‐media technology enables changes in digital images. Such easy access raises severe moral and legal concerns around the potential for malicious image editing. Overcoming this difficulty will need the development of innovative approaches for the quick detection of changes in high ...
Arslan Akram, Muhammad Arfan Jaffar, Javed Rashid, Salah Mahmoud Boulaaras, Muhammad Faheem   +4 more
wiley   +1 more source

Digital Response Test in Epilepsy assesses interictal epileptiform discharge effects in real time

Epilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) in people with epilepsy (PWE) can impair cognitive functions and increase reaction time (RT) and the likelihood of missed reactions. These effects are not routinely assessed, because reliable methods for detecting IEDs of variable appearance in real time and suitable tests to measure IED ...
Andreas von Allmen, Diyuan Lu, Caroline Jagella, Yasmina Abukhadra, Rune Markhus, Jochen Triesch, Margaret Gopaul, Lawrence J. Hirsch, Felix Rosenow, Hal Blumenfeld, Heinz Krestel   +10 more
wiley   +1 more source