Results 51 to 60 of about 1,631,931 (302)

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Advanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris, Johannes Hellwig, Hugh Greatorex, Clemens Wittberg, Panagiotis Koutsogiannis, César Magén, Elisabetta Chicca, Regina Dittmann   +7 more
wiley   +1 more source

LGAS-UNet: A Lightweight Network for Building Extraction from Remote Sensing Imagery in Complex Urban Scenes

Sensors
Accurate extraction of the spatial distribution of buildings from remote sensing imagery in complex urban environments is essential for urban planning and development.
Yaoyu Lu, Gang Cheng, Guosheng Cai, Baoquan Huang, Xiaonan Yu, Xinxu Guan, Xiangrong Fu   +6 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Multi-Feature Driver Variable Fusion Downscaling TROPOMI Solar-Induced Chlorophyll Fluorescence Approach

Agronomy
Solar-induced chlorophyll fluorescence (SIF), as a direct indicator of vegetation photosynthesis, offers a more accurate measure of plant photosynthetic dynamics than traditional vegetation indices.
Jinrui Fan, Xiaoping Lu, Guosheng Cai, Zhengfang Lou, Jing Wen   +4 more
doaj   +1 more source

Spatio-temporal population modelling for enhanced assessment of urban exposure to flood risk [PDF]

, 2016
There is a growing need for high resolution spatio-temporal population estimates which allow accurate assessment of population exposure to natural hazards.
David Martin, Alan Smith, Smith, Alan, Martin, David J., Cockings, Samantha, Samantha Cockings   +5 more
core   +1 more source

Spatio-temporal features of dataset.

, 2023
BackgroundAccurately predicting mobile network traffic can help mobile network operators allocate resources more rationally and can facilitate stable and fast network services to users.
Shuhui Gong (16954607), Zhiwei Zhang (12077), Zhaoyu Liu (3823318), Da Chen (585723)   +3 more
core   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

On the spatio-temporal analysis of hydrological droughts from global hydrological models [PDF]

, 2011
The recent concerns for world-wide extreme events related to climate change have motivated the development of large scale models that simulate the global water cycle.
G. A. Corzo Perez, F. Voß, M. H. J. van Huijgevoort, Lanen, H.A.J., van, Huijgevoort, M.H.J., van, Voss, F., van Huijgevoort, M.H.J., van Lanen, H.A.J., Corzo Perez, G., H. A. J. van Lanen   +9 more
core   +2 more sources

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Spatio-temporal ecological models

Ecological Informatics, 2011
Abstract An ecological model is a mathematical statement of the rules governing ecosystem changes. Traditional models based on system dynamics approach provide a useful way to represent and comprehend changing behaviors in time, but it does not adequately represent spatial processes. Although Geographic Information System (GIS) and Remote Sensing (RS)
Qiuwen Chen, Rui Han, Fei Ye, Weifeng Li 0006   +3 more
openaire   +2 more sources