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- Description:
- The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...
- Keyword:
- Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,
- Subject:
- Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning
- Creator:
- Ezana N. Beyenne
- Owner:
- Ezana Negga Beyenne
- Publisher:
- Data Science Masters Theses
- Date Uploaded:
- 03/15/2023
- Date Modified:
- 03/15/2023
- Resource Type:
- Dissertation and Masters Thesis
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- Description:
- Cite this article: Shen, J., McFarland, A.G., Blaustein, R.A. et al. An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics. Microbiome 10, 206 (2022). https://doi.org/10.1186/s40168-022-01412-x and Background: Effective surveillance of microbial communities in the healthcare environment is increasingly important in infection prevention. Metagenomics-based techniques are promising due to their untargeted nature but are currently challenged by several limitations: (1) they are not powerful enough to extract valid signals out of the background noise for low-biomass samples,...
- Keyword:
- Quantification, Quantitative metagenomics, Low biomass, Viability, Machine learning, Environmental surveillance, Sequencing depth prediction, and Infection prevention
- Subject:
- Metagenomics, Quantitative research, Nosocomial infections--Prevention, Machine learning, and Environmental monitoring
- Creator:
- K. Allison Perry-Dow, Jiaxian Shen, Vincent B. Young, Ryan A. Blaustein, Mary K. Hayden, Alexander G. McFarland, Anahid A. Moghadam, Laura J. Rose, and Erica M. Hartmann
- Contributor:
- Centers for Disease Control and Prevention (funding agency)
- Owner:
- Jiaxian SHEN
- Publisher:
- Microbiome
- Language:
- English
- Date Uploaded:
- 12/19/2022
- Date Modified:
- 12/19/2022
- Date Created:
- 2022-12-02
- Resource Type:
- Research Paper
- Alternate Identifier:
- DOI 10.1186/s40168-022-01412-x, PMCID PMC9716758, and PMID 36457108
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- Description:
- Attitude control in quadrotor Unmanned Aerial Vehicle (UAV) systems is traditionally managed by optimal control loops tuned to minimize errors in performance. While robust, these loops perform sub-optimally in dynamic and unpredictable environments which inspire new interest in sophisticated solution and approaches such as reinforcement learning (RL) approaches which should...
- Keyword:
- Intelligent Systems, Reinforcement Learning, Quadcopters, Learning and Adaptive Systemsons, Aerial Systems: Mechanics and Control, Proximal Policy Optimization, Drones, and Attitude Control
- Subject:
- Space vehicles--Attitude control systems, Proximal Policy Optimization, Reinforcement learning, Policy Gradient, Drone aircraft, and Machine learning
- Creator:
- Stephen Kleppinger,
- Contributor:
- Bharadwaj, Shreenidhi (advisor)
- Owner:
- Stephen Michael Kleppinger
- Publisher:
- Northwestern University
- Language:
- English
- Date Uploaded:
- 04/05/2022
- Date Modified:
- 04/05/2022
- Date Created:
- 12-2021
- Resource Type:
- Masters Thesis
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- Description:
- This is an attempt to recreate a reference architecture with the intention of completing a data engineering capstone project and also learning the services and technologies along the progress. The objective of the project is to use aws cloud managed services to build at scale solution to process, parse and...
- Keyword:
- ml, data engineering, lambda, serverless, nlp, machine learning, cloud, aws, ai, python, artificial intelligence, comprehend, and capstone
- Subject:
- Natural language processing (Computer science), Artificial intelligence, Data Engineering, and Machine learning
- Creator:
- Shankar Sundarakumar
- Contributor:
- Noah Gift ( Advisor)
- Owner:
- Shankar Sundarakumar
- Language:
- English
- Date Uploaded:
- 06/16/2020
- Date Modified:
- 06/16/2020
- Date Created:
- 2020-06-10
- Resource Type:
- Project