Search
Now showing items 1-6 of 6
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)
In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ...
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, ...
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 ...
Affordable Autonomous Vehicles for Deployment after Disastrous Events
(2022-05-18)
In disastrous events such as hurricanes and tornadoes, it has been observed that people get stranded and helpless without a feasible way to escape during those emergency situations. This became very evident during hurricanes, ...
Wart Treatment Decision Support Using Support Vector Machine
(MECS (http://www.mecs-press.org/index.html), 2020-02)
**Please note that the full text is embargoed** ABSTRACT: Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The success rates of cryotherapy and immunotherapy, two common treatment methods for ...
Predicting the Performance of Cryotherapy for Wart Treatment Using Machine Learning Algorithms
(2019)
**Please note that the full text is embargoed** ABSTRACT: Warts are non-cancerous tumors that can appear on the top layer of skin of different parts of the human body. For the treatment of warts, cryotherapy, a method of ...