Results 201 to 210 of about 800,918 (265)

Split_ Composite: A Radar Target Recognition Method on FFT Convolution Acceleration. [PDF]

Sensors (Basel)
Li X, He Y, Zhu W, Qu W, Li Y, Li C, Zhu B.   +6 more
europepmc   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

Two-Dimensional Scattering Center Estimation for Radar Target Recognition Based on Multiple High-Resolution Range Profiles. [PDF]

Sensors (Basel)
Lee KI, Kim JH, Chung YS.
europepmc   +1 more source

hkb is required for DIP-α expression and target recognition in the Drosophila neuromuscular circuit. [PDF]

Commun Biol
Wang Y, Salazar RJ, Simonetta LT, Sorrentino V, Gatton TJ, Wu B, Vecsey CG, Carrillo RA.   +7 more
europepmc   +1 more source

A Novel Underwater Acoustic Target Recognition Method Based on MFCC and RACNN. [PDF]

Sensors (Basel)
Liu D, Yang H, Hou W, Wang B.
europepmc   +1 more source

SAR Image Generation Method Using DH-GAN for Automatic Target Recognition. [PDF]

Sensors (Basel)
Oghim S, Kim Y, Bang H, Lim D, Ko J.
europepmc   +1 more source

Target recognition by calmodulin

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Adaptive target recognition

Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99), 2000
Target recognition is a multilevel process requiring a sequence of algorithms at low, intermediate and high levels. Generally, such systems are open loop with no feedback between levels and assuring their performance at the given probability of correct identification (PCI) and probability of false alarm (Pf) is a key challenge in computer vision and ...
Bir Bhanu, Yingqiang Lin, Grinnell Jones, Jing Peng   +3 more
openaire   +2 more sources

Target recognition and tracking

International Journal of Systems Science, 2001
Advances in image and signal processing permit implementation of sophisticated sensor fusion algorithms for tracking and target identification. The polymoprhic estimator (PME) accomplishes these tasks simultaneously. However, it has been observed that there is an identification bias toward more languorous targets.
David D. Sworder, John E. Boyd
openaire   +2 more sources

Detection and recognition of visual targets

Journal of the Optical Society of America A, 1985
To aid the development of detection-based interpretations of visual resolution, we evaluated theorems that (1) relate observers' performance in detection of a single target to that in 1-of-m signal detection and (2) predict recognition performance from measured performance at 1-of-m detection.
T, Benzschawel, T E, Cohn
openaire   +2 more sources