Frederick W. Maier

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 7

Top Topics

Human Activity Recognition

Weather Forecasts

Top Venues

Publications

Shrinidhi Adke, Changying Li, Khaled M. Rasheed, Frederick W. Maier
Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery. Sensors 22 (10) (2022)
Jonathan Vance, Khaled Rasheed, Ali Missaoui, Frederick W. Maier, Christian Adkins, Chris Whitmire
Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction. CoRR (2022)
Enas E. Alkhoshi, Khaled M. Rasheed, Hamid R. Arabnia, Frederick W. Maier, Jennifer L. Gay
Comparison of Machine Learning Methods for Human Activity Recognition Using Pseudo Free-Living Data. CSCI (2022)
Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. HEALTHINF (2017)
Sam Sanders, Chris Barrick, Frederick W. Maier, Khaled Rasheed
Solar Radiation Prediction Improvement Using Weather Forecasts. ICMLA (2017)
Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
A Hierarchical Meta-Classifier for Human Activity Recognition. ICMLA (2016)
Delaram Yazdansepas, Anzah H. Niazi, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman
A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. ICHI (2016)