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Method for extraction of airborne LiDAR point cloud buildings based on segmentation.
PloS one
May 29, 2020
The LiDAR technology is a means of urban 3D modeling in recent years, and the extraction of buildings is a key step in urban 3D modeling. In view of the complexity of most airborne LiDAR building point cloud extraction algorithms that need to combine...
Prototype of Robotic Device for Mobility Assistance for the Elderly in Urban Environments.
Sensors (Basel, Switzerland)
May 28, 2020
This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of the elderly in urban environments. Among the achievements presented are the control techniques used for autonomous navigation and the software tools an...
Its2vec: Fungal Species Identification Using Sequence Embedding and Random Forest Classification.
BioMed research international
May 27, 2020
Fungi play essential roles in many ecological processes, and taxonomic classification is fundamental for microbial community characterization and vital for the study and preservation of fungal biodiversity. To cope with massive fungal barcode data, t...
DLPNet: A deep manifold network for feature extraction of hyperspectral imagery.
Neural networks : the official journal of the International Neural Network Society
May 22, 2020
Deep learning has received increasing attention in recent years and it has been successfully applied for feature extraction (FE) of hyperspectral images. However, most deep learning methods fail to explore the manifold structure in hyperspectral imag...
Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles.
PloS one
May 21, 2020
By adopting and extending lessons from the air traffic control system, we argue that a nationwide remote monitoring system for driverless vehicles could increase safety dramatically, speed these vehicles' deployment, and provide employment. It is bec...
Machine Learning Systems Applied to Health Data and System.
European journal of health law
May 19, 2020
The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex problems by discovering associations among different types of information and to generate knowledge for medical decision support. Many regulatory and...
Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive.
F1000Research
May 19, 2020
The Sequence Read Archive (SRA) is a large public repository that stores raw next-generation sequencing data from thousands of diverse scientific investigations. Despite its promise, reuse and re-analysis of SRA data has been challenged by the heter...
Putative cell type discovery from single-cell gene expression data.
Nature methods
May 18, 2020
We present the Single-Cell Clustering Assessment Framework, a method for the automated identification of putative cell types from single-cell RNA sequencing (scRNA-seq) data. By iteratively applying a machine learning approach to a given set of cells...
Automatic Grading System for Diabetic Retinopathy Diagnosis Using Deep Learning Artificial Intelligence Software.
Current eye research
May 15, 2020
: To describe the development and validation of an artificial intelligence-based, deep learning algorithm (DeepDR) for the detection of diabetic retinopathy (DR) in retinal fundus photographs. : Five hundred fundus images, which had detailed labellin...
Quantitative Prediction of Hemolytic Toxicity for Small Molecules and Their Potential Hemolytic Fragments by Machine Learning and Recursive Fragmentation Methods.
Journal of chemical information and modeling
May 15, 2020
Hemolytic toxicity, as one of the key toxicity endpoints for small molecules, can cause lysis of the erythrocyte membrane and subsequent release of hemoglobin into blood plasma, leading to multiple acute and chronic adverse effects. Hence, it is nece...
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