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Neural Networks and Applications

Neural Networks and Applications

94 faculty research Neural Networks and Applications on GradNova.

B
Advanced MIMO Systems Optimization
Face and Expression Recognition
Indoor and Outdoor Localization Technologies
Neural Networks and Applications
+1
R
Advanced Chemical Sensor Technologies
Anomaly Detection Techniques and Applications
Neural Networks and Applications
Sparse and Compressive Sensing Techniques
+1
A
Complex Network Analysis Techniques
Data Stream Mining Techniques
Metaheuristic Optimization Algorithms Research
Multi-Agent Systems and Negotiation
+1
S
Data Stream Mining Techniques
Evolutionary Algorithms and Applications
Face and Expression Recognition
Neural Networks and Applications
+1
N
Neural Networks and Applications
Statistical Mechanics and Entropy
I
Blind Source Separation Techniques
EEG and Brain-Computer Interfaces
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
Y
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Metaheuristic Optimization Algorithms Research
Neural Networks and Applications
+1
A
Hydrological Forecasting Using AI
Hydrology and Watershed Management Studies
Model Reduction and Neural Networks
Neural Networks and Applications
+1
J
Advanced Memory and Neural Computing
Advanced Vision and Imaging
Medical Image Segmentation Techniques
Neural Dynamics and Brain Function
+1
M
Computational Neuroscience & Neuroengineering
Data Mining
Machine Learning
EEG and Brain-Computer Interfaces
+4
S
Explainable AI (xai)
Graph Neural Networks (gnns) and Graph Representation Learning
Large Language Models (llms) Toward Artificial General Intelligence (agi)
Reinforcement Learning (rl) for Reasoning
+5
S
Artificial Intelligence (ml: Theory and Modeling, Physics-Informed Machine Learning)
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Tensor Decomposition and Applications
+2
R
Heterogeneous Computing
Re-Configurability
Network Packet Processing and Optimization
Genomics and Phylogenetic Studies
+3
P
Fluid Dynamics and Turbulent Flows
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Neural Networks and Applications
+1
K
EEG and Brain-Computer Interfaces
Motor Control and Adaptation
Neural Dynamics and Brain Function
Neural Networks and Applications
+1
E
Cell Image Analysis Techniques
EEG and Brain-Computer Interfaces
Functional Brain Connectivity Studies
Neural Dynamics and Brain Function
+1
P
Face and Expression Recognition
Neural Networks and Applications
Remote Sensing in Agriculture
Smart Agriculture and AI
+1
P
Functional Brain Connectivity Studies
Medical Image Segmentation Techniques
Natural Language Processing Techniques
Neural Networks and Applications
+1
Z
Advanced Neural Network Applications
Financial Literacy, Pension, Retirement Analysis
Housing Market and Economics
Neural Networks and Applications
+1
P
Prasad Calyam

Co-Director of Cybersecurity Center at Mizzou Director of Cyber Education, Research and Infrastructure (Mizzou CERI) Greg L. Gilliom Professor of Cyber Security Curators’ Distinguished Professor

Computer Science

University of Missouri

Carbon Nanotubes in Composites
Computational Drug Discovery Methods
Machine Learning in Materials Science
Neural Networks and Applications
+1
O
Blind Source Separation Techniques
Neural Dynamics and Brain Function
Neural Networks and Applications
Visual Attention and Saliency Detection
+1
D
Image and Video Quality Assessment
Interconnection Networks and Systems
Network Traffic and Congestion Control
Neural Networks and Applications
+1
M
Biomolecular and Distributed Computing
Data Mining
DNA and Biological Computing
Advanced Biosensing and Bioanalysis Techniques
+3
C
Blind Source Separation Techniques
Face and Expression Recognition
Neural Networks and Applications
2

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