Results 81 to 90 of about 4,724 (255)
Hierarchical Coding Vectors for Scene Level Land-Use Classification
Remote Sensing, 2016 Land-use classification from remote sensing images has become an important but challenging task. This paper proposes Hierarchical Coding Vectors (HCV), a novel representation based on hierarchically coding structures, for scene level land-use ...
Hang Wu +4 more
doaj +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
An Empirical Investigation of Proposals in Collaborative Dialogues
, 1998 We describe a corpus-based investigation of proposals in dialogue. First, we describe our DR/compliant coding scheme and report our inter-coder reliabilityresults.
Moore, Johanna D. +7 more
core +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Deep joint source-channel coding for semantic communications
, 2023 Semantic communications is considered a promising technology that will increase the efficiency of next-generation communication systems, particularly human-machine and machine-type communications.
Chen, Wei +5 more
core +1 more source
Advanced Science, EarlyView.MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang +15 more
wiley +1 more source
Coding Properties of the Nominative Metaphor in the Title of the Novel “Shutter Island” by D. Lehane
, 2021 This paper addresses semantic analysis of the metaphorical title of Dennis Lehane s novel Shutter Island The nominative metaphor in the strong position of the text its title contains coding properties as it combines two lexical units similar ...
Natalia Alexandrovich
core
A Multi-Hop Semantic Communication System Enhanced by Semantic Importance
IEEE AccessSemantic communication is envisioned as a promising solution for tackling the data transmission challenges in future wireless communication systems. In this paper, we propose a novel semantic importance-enhanced multi-hop semantic communication (SIMSC ...
Xin Huang +5 more
doaj +1 more source
Advanced Science, EarlyView.A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source