AIMC Topic: Spatial Analysis

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Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning.

eLife Jan 18, 2019
The highly organized spatial arrangement of sensory hair cells in the organ of Corti is essential for inner ear function. Here, we report a new analytical pipeline, based on optical clearing of tissue, for the construction of a single-cell resolution...
Organ of Corti Immunohistochemistry Cochlea Hair Cells, Auditory Animals Age Factors Mice, Inbred C57BL Microscopy, Fluorescence Spatial Analysis Pattern Recognition, Automated Machine Learning
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A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States.

International journal of environmental research and public health Jan 8, 2019
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB inci...
Humans Geographic Information Systems Tuberculosis Neural Networks, Computer United States Spatial Analysis Cluster Analysis Linear Models
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What is a cognitive map? Unravelling its mystery using robots.

Cognitive processing Dec 11, 2018
Despite years of research into cognitive mapping, the process remains controversial and little understood. A computational theory of cognitive mapping is needed, but developing it is difficult due to the lack of a clear interpretation of the empirica...
Computer Simulation Cognition Robotics Humans Artificial Intelligence Algorithms Spatial Navigation Orientation Spatial Analysis Models, Psychological
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A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data.

Accident; analysis and prevention Nov 1, 2018
The primary objective of this study is to investigate how the deep learning approach contributes to citywide short-term crash risk prediction by leveraging multi-source datasets. This study uses data collected from Manhattan in New York City to illus...
Spatial Analysis Built Environment New York City Accidents, Traffic Weather Humans Risk Assessment Deep Learning Logistic Models Automobiles
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Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks.

Medical image analysis Jun 15, 2018
Surgical guidance and decision making could be improved with accurate and real-time measurement of intra-operative data including shape and spectral information of the tissue surface. In this work, a dual-modality endoscopic system has been proposed ...
Endoscopes Fiber Optic Technology Spectrum Analysis Spatial Analysis Image Processing, Computer-Assisted Intraoperative Period Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional
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Intelligent judgements over health risks in a spatial agent-based model.

International journal of health geographics Mar 20, 2018
BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adap...
Humans Artificial Intelligence Machine Learning Algorithms Communicable Diseases Waste Disposal Facilities Health Behavior Cholera Spatial Analysis Risk Factors Ghana Bayes Theorem
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Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network.

International journal of environmental research and public health Dec 26, 2017
Soil pollution by metal(loid)s resulting from rapid economic development is a major concern. Accurately estimating the spatial distribution of soil metal(loid) pollution has great significance in preventing and controlling soil pollution. In this stu...
Spatial Analysis Soil Pollutants Arsenic Neural Networks, Computer Cadmium Algorithms Cities Soil Environmental Monitoring
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Qualitative spatial logic descriptors from 3D indoor scenes to generate explanations in natural language.

Cognitive processing Jun 24, 2017
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative descriptors to use and how these qualitative descriptors must be organized to produce a suitable cogn...
User-Computer Interface Natural Language Processing Spatial Analysis Humans Pattern Recognition, Automated Machine Learning Logic Space Perception
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Spatial interpolation and radiological mapping of ambient gamma dose rate by using artificial neural networks and fuzzy logic methods.

Journal of environmental radioactivity May 4, 2017
The aim of this study was to determine spatial risk dispersion of ambient gamma dose rate (AGDR) by using both artificial neural network (ANN) and fuzzy logic (FL) methods, compare the performances of methods, make dose estimations for intermediate s...
Fuzzy Logic Neural Networks, Computer Gamma Rays Models, Statistical Spatial Analysis Radiation Monitoring Background Radiation
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Semi-supervised learning for ordinal Kernel Discriminant Analysis.

Neural networks : the official journal of the International Neural Network Society Aug 25, 2016
Ordinal classification considers those classification problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or difficult to obtain in this type of problems because, in many cases, ordinal labels...
Supervised Machine Learning Algorithms Spatial Analysis Discriminant Analysis
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