Results 31 to 40 of about 112,027 (304)

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports

IEEE Access, 2020
After Action Reports (AARs) provide incisive analysis of cyber-incidents. Extracting cyber-knowledge from these sources would provide security analysts with credible information, which they can use to detect or find patterns indicative of a cyber-attack.
Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak   +5 more
doaj   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source

TAN: a temporal-aware attention network with context-rich representation for boosting proposal generation

Complex & Intelligent Systems
Temporal action proposal generation in an untrimmed video is very challenging, and comprehensive context exploration is critically important to generate accurate candidates of action instances. This paper proposes a Temporal-aware Attention Network (TAN)
Yanyan Jiao, Wenzhu Yang, Wenjie Xing, Shuang Zeng, Lei Geng   +4 more
doaj   +1 more source

Blsnet: a tri-branch lightweight network for gesture segmentation against cluttered backgrounds

Complex & Intelligent Systems, 2023
Hand gesture segmentation is an essential step to recognize hand gestures for human–robot interaction. However, complex backgrounds and the variety of gesture shapes cause low semantic segmentation accuracy in the existing lightweight methods because of ...
Guoyu Zhou, Zhenchao Cui, Jing Qi
doaj   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Manet: motion-aware network for video action recognition

Complex & Intelligent Systems
Video action recognition is a fundamental task in video understanding. Actions in videos may vary at different speeds or scales, and it is difficult to cope with a wide variety of actions by relying on a single spatio-temporal scale to extract features ...
Xiaoyang Li, Wenzhu Yang, Kanglin Wang, Tiebiao Wang, Chen Zhang   +4 more
doaj   +1 more source

Integrity Auditing for Multi-Copy in Cloud Storage Based on Red-Black Tree

IEEE Access, 2021
With the rapid development of cloud storage, cloud users are willing to store data in the cloud storage system, and at the same time, the requirements for the security, integrity, and availability of data storage are getting higher and higher.
Zhenpeng Liu, Yi Liu, Xianwei Yang, Xiaofei Li   +3 more
doaj   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

MAP-GAN: multi-attribute facial privacy protection model without losing identification

Cybersecurity
In recent years, the proliferation of facial image collection systems coupled with significant advancements in machine learning-driven image analysis techniques has posed formidable challenges to protecting individuals’ privacy information, raising ...
Yue Wang, Meng Yue, Zhiqiang Yao, Zheyu Chen, Renyuan Hu, Biao Jin   +5 more
doaj   +1 more source

HRCTNet: a hybrid network with high-resolution representation for object detection in UAV image

Complex & Intelligent Systems, 2023
Object detection in unmanned aerial vehicle (UAV) images has attracted the increasing attention of researchers in recent years. However, it is challenging for small object detection using conventional detection methods because less location and semantic ...
Wenjie Xing, Zhenchao Cui, Jing Qi
doaj   +1 more source