Tags: Machine Learning

All Categories (1-20 of 29)

  1. Deep Machine Learning for Machine Performance and Damage Prediction

    08 Aug 2018 | Contributor(s):: Elijah Reber, Nickolas D Winovich, Guang Lin

    Deep learning has provided opportunities for advancement in many fields. One such opportunity is being able to accurately predict real world events. Ensuring proper motor function and being able to predict energy output is a valuable asset for owners of wind turbines. In this paper, we look at...

  2. Is More Data Better Than Better Algorithms in Machine Learning?

    08 Jun 2018 | Posted by Cogito Tech LLC

    Yes in machine learning more data is always better than better algorithms. Actually, the quality of data defines how the inputs will work in machine learning training and output would be exactly...

    http://nanohub.org/members/200897/blog/2018/06/is-more-data-better-than-better-algorithms-in-machine-learning

  3. Jeremy Seiji Marquardt

    Sophomore going on Junior in Nuclear Engineering Bachelors, with interest in extreme nuclear materials and a minor in math. Currently participating in SURF at nanoHUB with Prof. Koslowski's group.

    http://nanohub.org/members/199533

  4. Patrick Heney

    I started programming on a TI‑99/4A when I was about 8 years old.I learned how to build computers during an internship with a technology company in Washington DC.I started my career in the...

    http://nanohub.org/members/194443

  5. Muhammad Bilal

    Bilal’s research focuses on data-driven solutions for the environmental and health impact assessment of engineered nanomaterials (ENMs) using advanced machine learning/data mining and simulation...

    http://nanohub.org/members/179709

  6. Applying Machine Learning to Computational Chemistry: Can We Predict Molecular Properties Faster without Compromising Accuracy?

    14 Aug 2017 | Contributor(s):: Hanjing Xu, Pradeep Kumar Gurunathan

    Non-covalent interactions are crucial in analyzing protein folding and structure, function of DNA and RNA, structures of molecular crystals and aggregates, and many other processes in the fields of biology and chemistry. However, it is time and resource consuming to calculate such interactions...

  7. Predicting Locations of Pollution Sources using Convolutional Neural Networks

    07 Aug 2017 | Contributor(s):: Yiheng Chi, Nickolas D Winovich, Guang Lin

    Pollution is a severe problem today, and the main challenge in water pollution controls and eliminations is detecting and locating pollution sources. This research project aims to predict the locations of pollution sources given diffusion information of pollution in the form of array or...

  8. S Kiran Kadam

    http://nanohub.org/members/172030

  9. IPython Notebooks for Machine Learning

    Collections | 21 May 2017 | Posted by Tanya Faltens

    http://nanohub.org/groups/ncnure2017/collections/technical-resources

  10. Dedy Farhamsa

    http://nanohub.org/members/170299

  11. Claire Battye

    "Research is creating new knowledge."Neil Armstrong

    http://nanohub.org/members/169180

  12. Marius Stan

    http://nanohub.org/members/156713

  13. Model Selection Using Gaussian Mixture Models and Parallel Computing

    20 Jul 2016 | | Contributor(s):: Tian Qiu, Yiyi Chen, Georgios Karagiannis, Guang Lin

    Model Selection Using Gaussian Mixture Models

  14. Lukasz Burzawa

    http://nanohub.org/members/147258

  15. Juan Sebastian Martinez

    I am a senior in Electronic Engineering and Systems and Computer Engineering at Universidad de los Andes in Bogotá. Throughout my learning, I have gained experience with different programming...

    http://nanohub.org/members/145729

  16. Gaussian process regression in 1D

    26 Nov 2014 | | Contributor(s):: Ilias Bilionis, Alejandro Strachan, Benjamin P Haley, Martin Hunt, Rohit Kaushal Tripathy, Sam Reeve

    Use Gaussian processes to represent x-y data

  17. Ilias Bilionis

    Dr. Ilias Bilionis is an Assistant Professor at the School of Mechanical Engineering, Purdue University. His research is motivated by energy and material science applications and it focuses on the...

    http://nanohub.org/members/107467

  18. Rohit Kaushal Tripathy

    http://nanohub.org/members/106614

  19. German Felipe Giraldo

    http://nanohub.org/members/85538

  20. Andrew Ferguson

    http://nanohub.org/members/84967