Results 81 to 90 of about 1,578 (183)

A Novel Full‐Chain Loop Tracking Auditing Framework for Obtaining Audit Evidence With Reasonable Assurance

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley   +1 more source

Performance analysis of concatenated Reed-Solomon and next generation polar codes for 6G communication systems. [PDF]

Sci Rep
Wondimu E, Annamalai P, Gared F.
europepmc   +1 more source

Edge‐Channel Aggregation Network and Two‐Stage Fine Tuning Scheme for Handwritten Dongba Character Recognition

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li, Yang Xiao, Xiaojun Bi, Yanlong Luo   +3 more
wiley   +1 more source

Blind recognition of channel codes based on dual-branch feature fusion convolutional neural networks. [PDF]

Sci Rep
Ma Y, Lei Y, Liu C, Wang W, Teng F, Peng C, Jin H, Feng H, Zhang M, Pan Y.   +9 more
europepmc   +1 more source

A Lightweight Hybrid Network for Medical Image Segmentation With Adaptive Feature Selection

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate medical image segmentation with low model complexity remains difficult because lesions are often small in scale and boundary cues are easily corrupted by noise. Although recent segmentation methods have achieved strong performance, many of them rely on increasingly complex architectures with high computational costs, limiting their ...
Zhouwei Lin, Yudong Xia, Pingping Wu, Han Lin, Qingsong Xu, Zheng Fan, Juan Tu, Jun Wu   +7 more
wiley   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Bandwidth-efficient and reliable communication in smart grid systems for modern energy networks using Trellis and Turbo Trellis Coded Modulation. [PDF]

Sci Rep
Ghallab R, Shaheen M, Elkorany AS, El-Feshawy SA.   +3 more
europepmc   +1 more source

Topic classification of synchrotron experiment proposals using the OpenAlex model: enhancing metadata granularity and assessing live service feasibility

Journal of Synchrotron Radiation, EarlyView.
This paper validates the OpenAlex model for real‐time topic classification of synchrotron proposals. The proposed live service architecture incorporates user verification, providing a scalable solution for introducing enhanced topic metadata into scientific workflows without sacrificing precision.Experiment proposals at synchrotron facilities serve as ...
Terence Tan, Oliver J. Clark, Matthew J. Derry, Renaud Duyme, Guilherme Abreu Faria, Robert Farla, Ralf Flaig, Yogal Prasad Ghimirey, Anushka Ghosh, Miguel A. Gomez-Gonzalez, Ellen L. Heeley, Anna Herlihy, Annette Kleppe, Paul Millar, Melanie Nentwich, Josh Pickston, Nick Terrill, Armin Wagner, Andrew C. Walters, Matthew Watson, Philippe Rocca-Serra, Susanna-Assunta Sansone, Stephen P. Collins   +22 more
wiley   +1 more source

DNA StairLoop: enabling high-fidelity data recovery and robust error correction in DNA-based data storage. [PDF]

Nat Commun
Yan Z, Qu G, Chen X, Zheng G, Wu H.
europepmc   +1 more source

SMAXI: a machine‐learning‐powered open‐source software for multidimensional full‐field X‐ray image analysis

Journal of Synchrotron Radiation, EarlyView.
SMAXI is a fully open‐source, GPU‐accelerated software platform that integrates state‐of‐the‐art machine learning and large language model techniques into a unified workflow for X‐ray image analysis. SMAXI simplifies high‐throughput data processing workflows and overcomes manual image analysis bottlenecks.Full‐field X‐ray imaging techniques using ...
Dukyong Kim, Tao Sun
wiley   +1 more source