(The following topics include but are not limited to)
Topic 1: Sensing Cloud
Design of Sensor Network Protocol
Data Fusion Algorithm
Real time data processing
Low power sensor technology
Data quality assessment
Heterogeneous Sensor Networks
Sensor node positioning
Self-organizing sensor network
Data Encryption in Sensor Networks
Fault tolerance in sensor networks
Simulation and Modeling of Sensor Networks
mobile sensor network
data compression
Machine Learning in Sensor Networks
data transmission protocol
Energy Management in Sensor Networks
Fault detection and recovery
Cross disciplinary applications of sensor networks
Event Detection in Sensor Networks
Topic 2: Medical Imaging
Image, video, and 3D object detection
image segmentation
GAN/Generative/Adversarial
target tracking
Three-dimensional vision
Neural Network Architecture
model compression
Transfer learning/domain/adaptive
Visual reasoning
Topic 3: edge computing
Intelligent perception algorithm of edge computing
Deep Learning Application of edge computing
Adaptive Learning Technology of edge computing
Data mining in edge computing
Reinforcement Learning of edge computing
Integration method of edge intelligent algorithms
Prediction model of edge computing
Automatic Decision Making in edge computing
Optimization algorithm of edge computing
Feature extraction of edge computing scene
Image processing technology of edge computing
Natural Language Processing in edge computing
Real time analysis of edge computing data
Heterogeneous Intelligent Algorithms in edge computing
Edge computing and Distributed Learning
Sensor Fusion in edge computing
Image recognition in edge computing
Anomaly detection in edge computing
Emotional Analysis in edge computing
Multimodal learning in edge computing