Browsing by Subject "Machine learning"
Now showing items 1-12 of 12
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Applying machine learning approach in recycling
(Springer Nature, 2021-02-17)Waste generation has been increasing drastically based on the world’s population and economic growth. This has signifcantly afected human health, natural life, and ecology. The utilization of limited natural resources, ... -
Comparison of machine learning and deep learning models for network intrusion detection systems
(MDPI AG, 2020-09-30)The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is ... -
DeepQA: improving the estimation of single protein model quality with deep belief networks
(BioMed Central Ltd, 2016-12-05)Background: Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality ... -
Health diagnostics using multi-attribute classification fusion
(Elsevier Ltd., 2014-06)This paper presents a classification fusion approach for health diagnostics that can leverage the strengths of multiple member classifiers to form a robust classification model. The developed approach consists of three ... -
Ibeaconmap: Automated indoor space representation for beacon-based wayfinding
(Springer, 2020-09)Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users equipped with smartphones to interact ... -
Image analysis with machine learning algorithms to assist breast cancer treatment
(Springer, Cham, 2021-06-06)Real-time imaging technology has the potential to be applied to many complex surgical procedures such as those used in treating people with breast cancer. Key delaying factors for the successful development of real-time ... -
Image analysis with machine learning algorithms to assist breast cancer treatment
(Springer, Cham, 2021-06-06)Real-time imaging technology has the potential to be applied to many complex surgical procedures such as those used in treating people with breast cancer. Key delaying factors for the successful development of real-time ... -
Machine learning applied to programming quantum computers
(American Institute of Aeronautics and Astronautics, 2019-01-06)We apply machine learning to “program” quantum computers, both in simulation and in experimental hardware. A major difficulty in quantum computing is developing effective algorithms that can be programmed on a quantum ... -
A machine-learning based approach to privacy-aware information-sharing in mobile social networks
(Elsevier B.V., 2016-01)Contextual information about users is increasingly shared on mobile social networks. Examples of such information include users' locations, events, activities, and the co-presence of others in proximity. When disclosing ... -
Prediction of airline delays based on machine learning algorithms
(Association for Information Systems, 2019)Every year around 20% of all flights are delayed or canceled. The costs of these events to the airline companies and passengers are in billions of dollars each year. According to a report published in 2010 by UC Berkeley, ... -
Supervised machine learning approach for effective supplier classification
(IEEE, 2019-12)Supplier assessment plays a critical role in the supply chain management, which involves the flow of goods and services from the initial stage (raw material procurement) to the final stage (delivery). Supplier assessment ... -
A survey of biometric and machine learning methods for tracking students' attention and engagement
(IEEE, 2021-02-23)The skills of focusing and paying attention are critical to student learning. According to Piontkowski et al. [40], "Educators often talk about attention as a general mental state in which the mind focuses on some special ...