Results 271 to 280 of about 2,602,398 (316)

Correction: A Real Network Environment Dataset for Traffic Analysis. [PDF]

Sci Data
Jiang W, Zhang B, Zhu Q, Liao C, Wang W.
europepmc   +1 more source

Knee crepitus and osteoarthritis features in young adults following traumatic knee injury

Arthritis Care &Research, Accepted Article.
Objective This study explored the association between knee crepitus and the presence, and worsening, of structural osteoarthritis features and self‐reported outcomes in young adults following traumatic knee injury. Methods One‐year following anterior cruciate ligament reconstruction (ACLR), 112 participants (41 female participants; median age 28 years)
Jamon L Couch, Brooke E Patterson, Kay M Crossley, Ali Guermazi, Matthew G King, Danilo De Oliveira Silva, Jackie L Whittaker, Michael A Girdwood, Adam G Culvenor   +8 more
wiley   +1 more source

A two-stage multi-scale attention-based network for weakly supervised cataract fundus image enhancement. [PDF]

Sci Rep
Fang X, Wang Y, Li X, Fan W, Zhou D.
europepmc   +1 more source

Evaluating the computer networks

Academic Medicine, 1987
openaire   +4 more sources

WSNs data acquisition by combining expected network coverage and clustered compressed sensing. [PDF]

PLoS One
Liu Z, Zhang Y, Bi Y, Wang J, Hou Y, Liu C, Jiang G, Li S.   +7 more
europepmc   +1 more source

A novel and secure artificial intelligence enabled zero trust intrusion detection in industrial internet of things architecture. [PDF]

Sci Rep
Laghari AA, Khan AA, Ksibi A, Hajjej F, Kryvinska N, Almadhor A, Mohamed MA, Alsubai S.   +7 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules. [PDF]

Sci Rep
Gu Y, Bai H, Chen M, Yang L, Zhang B, Wang J, Lu X, Li J, Liu X, Yu D, Zhao Y, Tang S, He Q.   +12 more
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source