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COMPARISON OF MACHINE LEARNING ALGORITHMS IN SUGGESTING CANDIDATE EDGES TO CONSTRUCT A QUERY ON HETEROGENEOUS GRAPHS
(2016-05-11)
Querying graph data can be difficult as it requires the user to have knowledge of the underlying schema and the query language. Visual query builders allow users to formulate the intended query by drawing nodes and edges ...
EVALUATION OF DECISION-MAKING PREDICTION MODELS FOR SEWER PIPES ASSET MANAGEMENT
(2022-08-16)
Wastewater collection systems deteriorate over time, requiring continuous adjustments and the development of asset management frameworks on the part of utility owners to maintain the performance of their assets. Any asset ...
MACHINE LEARNING FOR TARGET DETECTION USING UWB RADAR SENSOR NETWORKS
(2022-12-05)
Machine learning (ML) has recently been used to solve critical problems. This dissertation focuses on developing systems using Ultra-Wideband (UWB) wireless sensor networks and machine learning to solve critical tasks such ...
DWRELU : DOUBLE WEIGHTED RECTIFIER LINEAR UNIT AN ACTIVATION FUNCTION WITH TRAINABLE SCALING PARAMETER
(2018-11-14)
Deep Neural Network have become very popular for computer vision application in recent years. At the same time, it remains important to understand the different implementation choices that need to be made when designing a ...
Ensemble and Consensus Species Distribution Modeling Approaches Applied to Freshwater Fish
(2020-05-19)
The field of species distribution modeling has expanded rapidly over the past two decades along with increasing computing capability and the introduction of novel analytical techniques. SDMs relate species occurrence to ...
Machine Learning Methods for Statistical Analysis and Representation Learning on Neuroimaging Data
(2022-05-17)
With the recent advance and widespread adoption of imaging technological innovations, clinical practitioner and scientists can easily acquire and store a large amount of various neuroimaging modalities, such as Diffusion ...
Deep Reinforcement Learning-based Portfolio Management
(2019-05-16)
Machine Learning is at the forefront of every field today. The subfields of Machine Learning called Reinforcement Learning and Deep Learning, when combined have given rise to advanced algorithms which have been successful ...
Learning Representations Using Reinforcement Learning
(2019-05-09)
The framework of reinforcement learning is a powerful suite of algorithms that can learn generalized solutions to complex decision making problems. However, the applications of reinforcement learning algorithms to traditional ...
HEALTH MONITORING OF ATLAS DATA CENTER CLUSTERS AND FAILURE ANALYSIS
(2018-12-06)
Monitoring the health of data center clusters is an integral part of any industrial facility. ATLAS is one of the High Energy Physics experiments at the Large Hadron Collider (LHC) at CERN. ATLAS DDM (Distributed Data ...
A TWO STAGE EVENT BASED DATA DRIVEN CONTROLLER FOR IMPROVED GRASPING OF AN ARTIFICIAL HAND
(2019-07-09)
The human hand is one of the greatest (if not the greatest) tool known to mankind for grasping objects. So much so, that researchers have been investigating the development of artificial biomimetic hands in an effort to ...