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TOPOLOGICAL AND FEATURE BASED IDENTIFICATION OF HOLE BOUNDARIES IN POINT CLOUD DATA AND DIFFERENTIATION BETWEEN SURFACE AND PHYSICAL HOLES
(2018-12-13)
With the advent of autonomous agents becoming prominent in everyday lives, the importance of processing the surroundings into understandable features becomes more and more important. 3D point clouds play a major role in ...
CLASSIFICATION OF CLINICAL NARRATIVES USING CONVOLUTIONAL NEURAL NETWORK
(2018-12-10)
Patient safety is a key aspect for good consumer care. When an individual is hospitalized or receives medication the family wants the patient safety to be above all factors. For instance, a drug can do both either cure the ...
FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)
Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ...
Randomized and Evolutionary Approaches to Dataset Characterization, Feature Weighting, and Sampling in K-Nearest Neighbors
(2020-06-05)
K-Nearest Neighbors (KNN) has remained one of the most popular methods for supervised machine learning tasks. However, its performance often depends on the characteristics of the dataset and on appropriate feature scaling. ...
MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS
(2019-12-16)
In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two ...
SHAPE MODELING, ATTITUDE ESTIMATION, AND CLASSIFICATION OF ARTIFICIAL RESIDENT SPACE OBJECTS (RSO) USING PHOTOMETRIC LIGHT CURVES
(2021-06-28)
Light curve inversion (LCI) has proven valuable in using photometric measurements to optimize various physical parameters of a resident space object (RSO) such as rotational period about its own spin axis, pole orientation ...
A NOVEL SUPERVISED DIMENSIONALITY REDUCTION METHOD: INTEGRATING PCA WITH SVM
(2021-07-06)
Data curation and storage methods have changed over the past few decades with the use of new technologies, and gathering data on a huge number of features (dimensions) is now very common among diverse scientific and ...
A Novel Regularized Orthonormalized Partial Least Squares Model for Multi-view Learning
(2023-08-15)
Over the past few years, the size of data dimensions or features has been increasing in various fields of science and engineering, owing to the rapid pace of data collection and the development of more advanced storage ...