Results 81 to 90 of about 25,441 (258)
DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATION [PDF]
, 2018 Department of Computer Science and EngineeringThe goal of semantic image segmentation is to partition the pixels of an image into semantically meaningful parts and classifying those parts according to a predefined label set.
Tousi, Ali
core
Advanced Science, EarlyView.Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
Remote SensingInfrared small-target detection encounters significant challenges due to a low image signal-to-noise ratio, limited target size, and complex background noise.
Jingcui Ma +4 more
doaj +1 more source
SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification
Remote Sensing, 2022 Biotic and abiotic plant stress (e.g., frost, fungi, diseases) can significantly impact crop production. It is thus essential to detect such stress at an early stage before visual symptoms and damage become apparent.
Wijayanti Nurul Khotimah +6 more
doaj +1 more source
G3BP1 Succinylation at K413 is Critical for Cardiac Function by Modulating PI3K‐AKT‐mTOR Signal Axis
Advanced Science, EarlyView.Schematic illustrating the impact of G3BP1 succinylation at K413 on cardiac function. In the healthy human heart, G3BP1 succinylation maintains homeostatic mTOR signaling. In patients with dilated cardiomyopathy (DCM) and heart failure (HF), G3BP1 de‐succinylation induces RagA expression and disrupts the binding of the TSC1/2 complex, leading to the ...
Yuan Zhang +9 more
wiley +1 more source
DISCRETE MELLIN CONVOLUTION WITH DILATION AND ITS APPLICATIONS
Mathematical Modelling and Analysis, 1998 The analysis of the discrete Mellin convolution is given. A generalization of rezults from [4,5] is presented. Some applications illustrate the efficiency of proposed methods.
openaire +5 more sources
Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
Advanced Science, EarlyView.This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen +10 more
wiley +1 more source
Ship-Radiated Noise Separation in Underwater Acoustic Environments Using a Deep Time-Domain Network
Journal of Marine Science and EngineeringShip-radiated noise separation is critical in both military and economic domains. However, due to the complex underwater environments with multiple noise sources and reverberation, separating ship-radiated noise poses a significant challenge ...
Qunyi He +3 more
doaj +1 more source
Advanced Science, EarlyView.In AKI, initial kidney injury upregulates the expression of Cav‐1, which subsequently binds to and stabilizes SERCA2 via its scaffolding domain and through deubiquitination, thereby regulating Ca2+ homeostasis and ER stress. Conversely, Cav‐1 deficiency accelerates SERCA2 degradation, triggering Ca2+ overload and ER stress, and ultimately exacerbating ...
Yan Zhang +19 more
wiley +1 more source