Results 111 to 120 of about 11,333,468 (334)
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
Semantic field learning in modern English
European Journal of Literature and Linguistics, 2015 The article deals with the newly-created lexical units that represent semantic field LEARNING. The general principles of this semantic field modeling are determined and examined.
openaire +2 more sources
A Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting
Remote Sensing, 2019 Small unmanned aerial systems (UAS) have emerged as high-throughput platforms for the collection of high-resolution image data over large crop fields to support precision agriculture and plant breeding research.
L. Malambo +5 more
semanticscholar +1 more source
Advanced Science, EarlyView.ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao +12 more
wiley +1 more source
Legilinguistic Features of a Semantic Field: COVID-19 in Written News/Media in Hebrew and Arabic. [PDF]
Int J Semiot Law, 2022 Rosenhouse J.
europepmc +1 more source
Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDeep learning methods, especially Convolutional Neural Networks (CNN) and Vision Transformer (ViT), are frequently employed to perform semantic segmentation of high-resolution remotely sensed images.
Qinfeng Zhu +4 more
semanticscholar +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Advanced Science, EarlyView.Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Semantic field as a method of the system description of vocabulary
Polylinguality and Transcultural Practices, 2012 The article describes the notion «semantic field», its structure and the general semantic features. On revealing different connections between linguistic units the semantic fields adequately and completely reproduce the lexical system of the language ...
M A Bocharova
doaj
OV-NeRF: Open-Vocabulary Neural Radiance Fields With Vision and Language Foundation Models for 3D Semantic Understanding [PDF]
IEEE transactions on circuits and systems for video technology (Print)The development of Neural Radiance Fields (NeRFs) has provided a potent representation for encapsulating the geometric and appearance characteristics of 3D scenes.
Guibiao Liao +4 more
semanticscholar +1 more source