Results 51 to 60 of about 5,527 (155)

Boundary Contour System and Feature Contour System [PDF]

, 1995
When humans gaze upon a scene, our brains rapidly combine several different types of locally ambiguous visual information to generate a globally consistent and unambiguous representation of Form-And-Color-And-DEpth, or FACADE.
Grossberg, Stephen
core   +1 more source

Land Use Transformation and Climate Resilience in Smart Cities: Role of ICT in Modern Urban Planning

Land Degradation &Development, EarlyView.
ABSTRACT Modern urban planning is experiencing a transition from traditional planning to the integration of information technology, which defines the concept of a “smart city”. The study analyses the evolution of urban planning practices with an emphasis on the role of engineering and architecture in the process of urbanization, the transition to the ...
Dariusz Cichoń
wiley   +1 more source

Faster and More Robust CK Reaction Rate Estimation at 3T Using Acquisition‐Weighted 31P Cardiac 1D‐MRSI With Compartment‐Based Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of the creatine kinase (CK) forward reaction rate (kf) in the human heart using phosphorus magnetic resonance spectroscopy is clinically important; however, it is limited by long acquisition times, operator subjectivity in analysis, and potential skeletal muscle contamination.
Aaron Axford, Iveta Pajanová, William D. Watson, Andrew C. Tyler, Roshan Xavier, Ferenc E. Mózes, Oliver J. Rider, Damian J. Tyler, Ladislav Valkovič   +8 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source

A Self-Organizing System for Classifying Complex Images: Natural Textures and Synthetic Aperture Radar [PDF]

, 1996
A self-organizing architecture is developed for image region classification. The system consists of a preprocessor that utilizes multi-scale filtering, competition, cooperation, and diffusion to compute a vector of image boundary and surface properties ...
Grossberg, Stephen, Williamson, James
core  

Identification of initial vegetation and habitat changes in small temperate fens using remote sensing

Remote Sensing in Ecology and Conservation, EarlyView.
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý, Patricia Singh, Petra Hájková, Anna Müllerová, Tomáš Peterka, Zuzana Plesková, Karel Prach, Adéla Široká, Kamila Vítovcová, Michal Hájek   +9 more
wiley   +1 more source

Probabilistic modeling and statistical inference for random fields and space-time processes [PDF]

, 1995
Author from publisher's list.

core  

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Urban Heat and Spatial Statistics, Toward Sustainable Cities and Society: A PRISMA‐Based Systematic Review and Empirical Assessment (2020–2025)

Sustainable Development, EarlyView.
ABSTRACT Over the past few decades, the intensification of global warming has brought increased attention to urban thermal dynamics, particularly regarding Land Surface Temperature (LST) and the Urban Surface Heat Island (SUHI) effect. This study conducts a systematic literature review alongside a bibliometric analysis of 123 peer‐reviewed articles ...
David Hidalgo‐García, Hamed Rezapouraghdam, Antonio Jesús Aguilar‐Aguilera, María Luísa de la Hoz‐Torres, Rubén López‐Cantero   +4 more
wiley   +1 more source