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Now showing items 11-20 of 26
Multistep Electricity Price Forecasting for Deregulated Energy Markets: GAN-Based Reinforcement Learning
Electricity Price Forecasting (EPF) plays a vital role in smart grid applications for deregulated electricity markets. Most of the studies tend to investigate the electricity market influencers using forecasting techniques, ...
Novel Semi-Automatic Method to Optimize Multi-Lamp High Flux Solar Simulators
(2019-04-23)
For multi-lamp high flux solar simulators (HFSS), it is often difficult to obtain a required flux distribution by manipulating the lamp position of multiple lamps at once. Each lamp has three degree of freedom. Thus manual ...
Habitat-Lab Quadruped Embodied AI Research
With the rise of reinforcement learning, a number of physics engines and frameworks have been used to simulate virtual environments. Additionally, various benchmarks have been popularized in order to assess the ability of ...
Benchmarking the Performance of Machine Learning Algorithms for Record Linkage at Different Heterogeneity Rates in a New Setting
Record linkage is used to identify and link the same entity from one or more databases when a unique identifier is absent. As the amount of data increases largely every day, machine learning has become effective in integrating ...
Lane Detection using Computer Vision and Machine Learning for Self-Driving Cars
Self-Driving Cars are not only a reality today but a glimpse into how advanced and complex technology is going to be in the next century. The best and the brightest have been brought together by industry and academia ...
Monte Carlo Denoising Using Implicit Neural Representation
Monte Carlo path tracing is a popular 3D rendering technique in computer graphics, but it often requires a costly tradeoff between the amount of noise in the image and computation time. Therefore, it is useful to attempt ...
FPGA Acceleration for Random Forest Inference
Random forest algorithm has been used broadly in both the research field and in the industry due to its ability to tackle both categorical and numerical dataset. FPGAs also have the highest growing potential and can be ...
Recognizing Seatbelt-Fastening Activity Using Wearable Sensor Technology
(2017-04-27)
Many fatal car accidents involve victims who were not wearing a seatbelt, even though systems for detecting such behavior and intervening to correct it already exist. Activity recognition using wearable sensors has been ...
Clustering Events Based On Common Subevents
(2020-04-23)
The objective of this project is to create a methodology to find communities of similar events based on their context, which is represented by their subevents. The similarity is measured through a new metric we propose, ...
Few Shot Learning to Improve Deep Medical Model Transfer
The advent of machine learning has changed the way healthcare providers care for their patients. Utilizing data driven models, healthcare workers are now able to predict and account for symptoms in patients before they ...