Search
Now showing items 11-20 of 20
Exploring Deep Learning in Finance
(2022-05-20)
Financial market analysis is process of analyzing market closely and predict the next move of market whether it will go up or down using historical data. Financial market is stochastic and has rapid changes over time, ...
One Step at a Time: Improving the Fidelity of Geospatial Agent-Based Models Using Empirical Data
(2021-11-18)
Agent-based modeling is frequently used to produce geospatial models of transportation systems. However, reducing the computational requirements of these models can require a degree of abstraction that can compromise the ...
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 ...
Assessing the impact of Principal Component Analysis on accurately predicting melanoma diagnosis applied on different classification models
(2019-11-26)
With huge amounts of data at our disposal in the medical field, mathematical models are built to diagnose diseases. This study focuses on melanoma because it’s the type of skin cancer that accounts for most deaths, up to ...
Design and Development of a Virtual Reality Training Platform for Fiber-reinforced Composite Manufacturing
(2023-05-04)
This study presents the design and development of a virtual reality (VR) training platform for manufacturing fiber-reinforced composites, a sophisticated and high-demand material in various industries. Due to the high costs ...
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)
As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ...
Productivity Improvement and Cost Optimization of Small and Medium Scale Enterprises
(2017-05-11)
Productivity improvement and cost optimization have been a topic of discussion for at least a century. The publication of Fredrick Taylor’s book ‘The Principles of Scientific Management’ in 1911 can be considered as the ...
Evaluating The Economic Impacts Of Pipeline Useage On The Indian Oil and Gas Supply Chain.
The objective of this dissertation is to find the minimum supply chain cost for the Indian oil and gas industry. The problem is solved by introducing a mixed – integer programming model which will avail in taking the ...
Evaluating The Economic Impacts Of Pipeline Usage On Texas Oil & Gas Supply Chain
The objective of this dissertation is to find the minimum supply chain cost for the Texas oil and gas industry, when pipeline is used as the major mode of transporting oil. The problem is solved, by introducing a mixed – ...
IMPLEMENTATION PROCESS FOR AUTOMATED DATA ANALYSIS IN MINERAL EXTRACTION COMPANIES
(2015-11-24)
The need to determine knowledge from increasing amounts of information and raw data is a current and ongoing goal [1]. As technology continues to advance in the ability to collect and save more and more data, companies ...