Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Maryam Aghamohammadghasem
Affiliation
Department of Industrial Engineering, University of Arkansas, Fayetteville, AR, USA
Topic
Anderson-Darling,Anderson-Darling Test,Autocorrelation Plots,Candidate Distributions,Class Instances,Deep Learning,Deep Reinforcement Learning,Discrete Distribution,Discrete Event Simulation,Discrete Event Simulation Model,Distribution Models,Distribution Of Rates,Environmental Assessment,Estimation Process,Family Of Distributions,Fit Quality,Gamma Distribution,Geographic Information System,Geographic Information System Data,Goodness Of Fit,Goodness-of-fit Test,Graphical Analysis,Heuristic Techniques,Histogram,Inland Waterways,Kolmogorov-Smirnov Test,Maintenance Activities,Maintenance Optimisation,Mississippi River,Model Input,Multi-agent,Navigation System,Optimal Maintenance,Overview Of Functions,Parameter Estimates,Preventive Actions,Probabilistic Model,Proprietary Software,Repair Actions,Reward Function,Score Model,Sequence Of Actions,Shift Parameter,Simulation Model,Simulation Optimization,Simulation Tool,Spatiotemporal Model,Statistical Distribution,Statistical Tests,Stochastic Simulations,
Biography
MARYAM AGHAMOHAMMADGHASEM is a Ph.D. student in the Department of Industrial Engineering at the University of Arkansas. She received her M.S. in Industrial Engineering from Sharif University in 2016. Her main research interests are centered around network optimization, deep learning, deep reinforcement learning, and simulation. Her email address is [email protected].