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Advanced Neural Network Applications

Advanced Neural Network Applications

327 faculty research Advanced Neural Network Applications on GradNova.

R
Bayesian Learning
Machine Learning
Neural Networks
Neural Networks and Applications
+4
S
Computer Vision
Machine Learning
Generative Adversarial Networks and Image Synthesis
Advanced Neural Network Applications
+3
J
Deep Learning
Deep Reinforcement Learning
Machine Learning
Neural Networks
+6
P
Priyadarshini Panda

Lloyd F. Hunt Early Career Chair of Electrical & Computer Engineering and Associate Professor of Electrical & Computer Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Ferroelectric and Negative Capacitance Devices
+1
R
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Parallel Computing and Optimization Techniques
+1
Z
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Hate Speech and Cyberbullying Detection
Robotics and Sensor-Based Localization
+1
U
The Philosophical and Technical Differences Between AI-Generated and Human-Generated Content
Generative Adversarial Networks and Image Synthesis
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
+2
L
Advanced Neural Network Applications
EEG and Brain-Computer Interfaces
Emotion and Mood Recognition
Face Recognition and Perception
+1
J
Advanced Data Storage Technologies
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Interconnection Networks and Systems
+1
A
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Advanced Vision and Imaging
Medical Image Segmentation Techniques
+1
Y
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Digital Transformation in Industry
Ferroelectric and Negative Capacitance Devices
+1
N
Interplay Between Advanced Hardware Design and Real-Time/low-Power Machine Learning Applications
Advanced Memory and Neural Computing
Physical Unclonable Functions (pufs) and Hardware Security
Ferroelectric and Negative Capacitance Devices
+2
X
Advanced Neural Network Applications
Marine Bivalve and Aquaculture Studies
Water Quality Monitoring Technologies
W
Advanced Neural Network Applications
Hvdc Systems and Fault Protection
Image and Video Quality Assessment
Parallel Computing and Optimization Techniques
+1
B
Advanced Data Storage Technologies
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Interconnection Networks and Systems
+1
Y
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
A
Advanced Neural Network Applications
Embedded Systems Design Techniques
IoT and Edge/fog Computing
Low-Power High-Performance VLSI Design
+1
Q
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Network Security and Intrusion Detection
+1
Y
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Ferroelectric and Negative Capacitance Devices
+1
Z
Advanced Neural Network Applications
Embedded Systems Design Techniques
Interconnection Networks and Systems
Low-Power High-Performance VLSI Design
+1
P
Pei Zhang

Associate Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

"structures as Sensors," Which Utilizes the Physical Properties of Devices and Structures (e.g. Cars, Buildings, Rooms) as a Sensor to Discover Physical Information That Surrounds Them (e.g. People, Roads, Animals)
Remote-Sensing Image Classification
Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
+2
Z
Advanced Neural Network Applications
Ccd and CMOS Imaging Sensors
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
Y
Yu Cao

Professor; Director, UMass Center for Digital Health (CDH)

Computer Science

University of Massachusetts Lowell

Computer Vision
Digital Health
Machine Learning
Medical Imaging
+6
P
Prashant Shenoy

Distinguished Professor (On leave through Spring 2027)

Computer Science

University of Massachusetts Amherst

Networking and Distributed Systems
Age of Information Optimization
IoT and Edge/fog Computing
Smart Grid Energy Management
+2
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