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1. Prediction and Estimation of Human Motion using Generative-Adversarial Network

open_access
Open Access
Author:
Subbakrishna Adishesha, Amogh
Title:
Prediction and Estimation of Human Motion using Generative-Adversarial Network
Graduate Program:
Electrical Engineering
Keywords:
GANs
LSTM
Motion Prediction
Deep Learning
Neural Networks
AI
Prediction Error
File:
Download PS-Thesis-AmoghFinal.pdf
Committee Members:
Robert Collins, Thesis Advisor/Co-Advisor
David Jonathan Miller, Committee Member
Mehdi Kiani, Committee Member

2. Processing In-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks

open_access
Open Access
Author:
Chandran, Makesh Tarun
Title:
Processing In-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks
Graduate Program:
Computer Science and Engineering
Keywords:
Neural Networks
ReRAM
Processing-in-memory
Transformer
BERT
LSTM
CNN
Systolic
File:
Download Makesh_Thesis.pdf
Committee Members:
Vijaykrishnan Narayanan, Thesis Advisor/Co-Advisor
John Morgan Sampson, Committee Member
Chitaranjan Das, Program Head/Chair

3. Frontiers in Data-driven Learning via Probabilistic Finite State Automata

open_access
Open Access
Author:
Bhattacharya, Chandrachur
Title:
Frontiers in Data-driven Learning via Probabilistic Finite State Automata
Graduate Program:
Mechanical Engineering (PHD)
Keywords:
Data-driven
Machine Learning
Time-series analysis
Combustion Instablity
Thermoacoustic Instability
Pattern Recognition
Reduced Order Modeling
Rijke tube
Probabilisitc Finite State Automata
Symbolic Time Series Analysis
Combustion dynamics
Combustion
Hidden Markov Model
LSTM
Projection PFSA
Chaos
Natural Circulation Loop
Crack detection
Online Learning
Transfer Learning
DDDAS
PFSA
STSA
File:
Download Dissertation_ChandrachurBhattacharya_Final.pdf
Committee Members:
Minghui Zhu, Outside Unit Member
Shashi Phoha, Outside Field Member
Daniel Haworth, Major Field Member
Achintya Mukhopadhyay, Special Member
Asok Ray, Chair & Dissertation Advisor
Daniel Haworth, Professor in Charge/Director of Graduate Studies

4. Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks

open_access
Open Access
Author:
Schuessler, Joseph
Title:
Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks
Graduate Program:
Electrical Engineering (MS)
Keywords:
Adversarial Attacks
Data Poisoning
Recurrent Neural Networks
LSTM
Deep Learning
Machine Learning
File:
Download SchuesslerThesis.pdf
Committee Members:
Kultegin Aydin, Program Head/Chair
David Jonathan Miller, Thesis Advisor/Co-Advisor
George Kesidis, Committee Member
Carina Pamela Curto, Committee Member

5. AI in Education: Effective Machine Learning Methods To Improve Data Scarcity and Knowledge Generalization

open_access
Open Access
Author:
Shen, Jia Tracy
Title:
AI in Education: Effective Machine Learning Methods To Improve Data Scarcity and Knowledge Generalization
Graduate Program:
Information Sciences and Technology (PHD)
Keywords:
AI
machine learning
education
BERT
nlp
Deep Generative models
time series
model generalization
transfer learning
knowledge generalization
transformer
LSTM
File:
Download AIinED_Dissertation_final_submission.pdf
Committee Members:
Dongwon Lee, Chair & Dissertation Advisor
C Lee Giles, Major Field Member
Amulya Yadav, Major Field Member
Rebecca Passonneau, Outside Unit & Field Member
Jeffrey Bardzell, Program Head/Chair

7. A Vision Towards Developing a Spatially And Temporally Robust Data-Driven Modeling Framework To Predict Continuous Stream Nitrate Concentration At Data-Scarce Locations

restricted_to_institution
Restricted (Penn State Only)
Author:
Saha, Gourab
Title:
A Vision Towards Developing a Spatially And Temporally Robust Data-Driven Modeling Framework To Predict Continuous Stream Nitrate Concentration At Data-Scarce Locations
Graduate Program:
Agricultural and Biological Engineering (PHD)
Keywords:
LSTM
stream nitrate modeling
deep learning
machine learning
water quality
c-Q relationship
File:
Login to Download
Committee Members:
Suat Irmak, Program Head/Chair
Long He, Major Field Member
Cibin Raj, Chair & Dissertation Advisor
Chaopeng Shen, Outside Field Member
Jonathan Duncan, Outside Unit & Field Member

8. Statistical and Deep Learning Time Series Forecasting for Inventory Optimization of Agricultural Products

open_access
Open Access
Author:
Dighe, Snehal Machhindra
Title:
Statistical and Deep Learning Time Series Forecasting for Inventory Optimization of Agricultural Products
Graduate Program:
Industrial Engineering (MS)
Keywords:
Time Series Forecasting
Demand Forecasting
SARIMA
MLP
LSTM
Inventory Optimization
Newsvendor Model
Exploratory Data Analysis
User Interface
Seasonality Study
File:
Download Thesis_MSIE_Snehal_Machhindra_Dighe.pdf
Committee Members:
Steven Landry, Program Head/Chair
Soundar Kumara, Thesis Advisor/Co-Advisor
Kamesh Madduri, Committee Member
Paul Griffin, Thesis Advisor/Co-Advisor