Results 231 to 240 of about 179,010,438 (302)

A broadband lithium tantalate-on-silicon nitride heterogeneous modulator for optical and terahertz communications and radar sensing. [PDF]

Nat Commun
Su J, Yuan Y, Dai Y, Sun A, Ran S, Gao W, Liu W, Liu Y, Lu L, Zhang J, Zeng C, Dong B, Li Y, Chi N, Xia J, Chen J, Zhou L.   +16 more
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Frequency-Offset-Estimation-Assisted Transformer Neural Equalization for a 4.6 km Optical-Heterodyne RoF-Wireless OFDM Link. [PDF]

Sensors (Basel)
Ou Z, Zhou W, Zhou Y, Chen J, Lu X, Ma H, Xu S, Zhang J, Zhang H, Zhang Y, Yu J.   +10 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

Deep Learning-Based Automatic Modulation Classification for OFDM Signals: From Synthetic Training to OTA Evaluation. [PDF]

Sensors (Basel)
Nelega R, Mezei MM, Polgar ZA, Kovacs G, Puschita E.   +4 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

An Efficient Uplink 3D AoA Positioning Framework for 5G RedCap UEs in Indoor Factory Environments. [PDF]

Sensors (Basel)
Averin I, Pudeev A, Hwang S, Ko H.
europepmc   +1 more source

Successful reinforcement history suppresses explicit and implicit error corrections. [PDF]

PLoS Comput Biol
Buggeln J, Muscara N, Sullivan SR, Calalo JA, Ngo TT, Short M, Roth AM, Carter MJ, Cashaback JGA.   +8 more
europepmc   +1 more source

Joint Estimation of Coherent Signal DOA and Polarization Parameters Based on Improved BSBL. [PDF]

Sensors (Basel)
Du Y, Peng J, Hu D, Wang J, Zeng H.
europepmc   +1 more source

A Cascaded Neural Network for Robust Phase-Only Beamforming Under Covariance Matrix Mismatch. [PDF]

Sensors (Basel)
Zhao Z, Yu Z, Li Y, Yang Y, Wang Z, Liu Q.   +5 more
europepmc   +1 more source