Classifying Human Manual Control Behavior Using LSTM Recurrent Neural Networks

Modelling of kinematic higher pairs by lower pairs

Dimensions of data sparseness and their effect on supply chain visibility

Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions

Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning

BoundED: Neural boundary and edge detection in 3D point clouds via local neighborhood statistics

Classification of clinically significant prostate cancer on multi-parametric MRI: A validation study comparing deep learning and radiomics

An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questions

Cluster-based identification algorithm for in-line recycled concrete aggregates characterization using Laser-Induced Breakdown Spectroscopy (LIBS)

Probabilistic vegetation transitions in dunes by combining spectral and lidar data

Iterative bias estimation for an ultra-wideband localization system

Adjustment and Extension of the Hansen and Rattray Estuarine Classification Diagram

Classification prognostics approaches in aviation

Integrating intensity and context for improved supervised river ice classification from dual-pol Sentinel-1 SAR data

Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep Learning Method

An efficient deep learning approach for ground point filtering in aerial laser scanning point clouds

Automatic change detection of digital maps using aerial images and point clouds

A Large-Scale Evaluation Of Shape-Aware Neighborhood Weights And Neighborhood Sizes

A review and experimental analysis of active learning over crowdsourced data

A unifying approach to subtidal salt intrusion modeling in tidal estuaries