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Anomaly Detection Techniques and Applications

Anomaly Detection Techniques and Applications

167 faculty research Anomaly Detection Techniques and Applications on GradNova.

A
Anomaly Detection Techniques and Applications
Gastrointestinal Bleeding Diagnosis and Treatment
IoT and Edge/fog Computing
IoT-Based Smart Home Systems
+1
A
Advanced Manufacturing, Sustainable Production & AI for Engineering
Anomaly Detection Techniques and Applications
Time Series Analysis and Forecasting
Metaheuristic Optimization Algorithms Research
+2
J
Anomaly Detection Techniques and Applications
Electronic Packaging and Soldering Technologies
Electrowetting and Microfluidic Technologies
Industrial Vision Systems and Defect Detection
+1
M
Advanced Control Systems Optimization
Advanced Statistical Process Monitoring
Anomaly Detection Techniques and Applications
Fault Detection and Control Systems
+1
S
Anomaly Detection Techniques and Applications
Energy Load and Power Forecasting
Optimal Power Flow Distribution
Power System Optimization and Stability
+1
J
Anomaly Detection Techniques and Applications
Autonomous Vehicle Technology and Safety
Human Pose and Action Recognition
Time Series Analysis and Forecasting
+1
J
3D Surveying and Cultural Heritage
Advanced Vision and Imaging
Anomaly Detection Techniques and Applications
Remote-Sensing Image Classification
+1
M
Power
Software and Machine Intelligence
Topic Modeling
Statistical Methods and Inference
+3
Z
Ziquan Deng, Ph.D.

Assistant Professor | Mechanical & Nuclear Engineering

Computer Science

Virginia Commonwealth University

Teach Mechanical Engineering Courses, Contribute to Departmental and Professional Service, and Conduct Interdisciplinary Research.
Anomaly Detection Techniques and Applications
Advanced Neural Network Applications
Fault Detection and Control Systems
+2
J
Control Theory
Machine Learning
Optimization
Fault Detection and Control Systems
+4
Y
Advanced Malware Detection Techniques
AI in Cancer Detection
Anomaly Detection Techniques and Applications
Human Pose and Action Recognition
+1
M
Artificial Intelligence and Deep Learning Models to Analyze Multimodal Electronic Health Records (ehrs)
Biological Data
Clinical Notes
Imaging
+5
H
Computer Vision
Data Mining
Deep Learning
Machine Learning
+5
A
Ai/ml Safety
Cooperative AI Systems
Generative AI for Social Media Harm Mitigation
Multimodal Generative AI
+5
B
Anomaly Detection Techniques and Applications
COVID-19 Digital Contact Tracing
Human Mobility and Location-Based Analysis
Indoor and Outdoor Localization Technologies
+1
Y
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
G
Algorithmic Fairness
Blueai
Deep Learning
Education+ai
+9
H
Anomaly Detection Techniques and Applications
Human Pose and Action Recognition
Human-Automation Interaction and Safety
Traffic Control and Management
+1
B
Anomaly Detection Techniques and Applications
Autonomous Vehicle Technology and Safety
Human Pose and Action Recognition
Traffic Prediction and Management Techniques
+1
Q
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Network Security and Intrusion Detection
+1
C
Clayton D Scott

Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Statistics

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning Theory, Methods, and Applications
Machine Learning Theory, Methods, and Applications.
Machine Learning and Algorithms
Machine Learning and Data Classification
+3
A
Alexander Rodríguez

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computational Epidemiology
Machine Learning
Multi-Agent Systems
Public Health
+5
E
Machine Learning
Advanced Malware Detection Techniques
Anomaly Detection Techniques and Applications
Adversarial Robustness in Machine Learning
N
Anomaly Detection Techniques and Applications
Distributed Control Multi-Agent Systems
Distributed Systems and Fault Tolerance
IoT and Edge/fog Computing
+1
2

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