191001: Intelligence Computing Paradigms with Remote Sensing Networks in Water Hydrology
Research on intelligence computing models for water quality protection
Remote sensing network to support for water quality monitoring and management
GIS based hydrology and water quality modelling to support sustainable water management
Intelligent decision support system for predictive water quality monitoring
Algorithms and techniques for interpreting urban remote sensing data(e.g., machine learning)
Water quality management using drones and satellites in sustainable environment
Internet of Things, big data and interventions to support sustainable ground water pollution management
Geospatial modelling of in-situ river water conservation systems
Sustainable wastewater treatment and pollution control
Water reclamation and reuse
Sensors for monitoring in hydrology and water resources
191002: Cognitive Computing with Big Data System over Secure Internet of Things
Cognitive computing models and prediction analytics (such as for e-health);
Cognitive semantic collective intelligence (such as in medical applications);
Cognitive computing algorithms (such as for smart healthcare systems);
Cognitive design principles and best practices for IoT application development (such as for human health services);
Cognitive reasoning about IoT smart objects (such as for health care);
Cognitive models for big data systems, theory, and applications (such as in e-health);
Cognitive data models (such as for telemedicine);
Edge/fog/IoT for mobile/wireless/pervasive/proactive/personalized service (such as healthcare);
IoT sensors data management;
IoT data mining and analytics (such as for smart medical devices)
191003: Multimodal Deep Learning Methods for Video Analytics
Object detection and recognition
Action recognition
Event detection
Video highlights, summary and storyboard generation
Segmentation and tracking
Authoring and editing of videos
Scene understanding
People analysis
Security issues in surveillance videos
191004: Smart, Secure and Sustainable (3S) Technologies for IoT Based Healthcare Applications
Pervasive medical care
Machine Learning based non-invasive, secure and sustainable healthcare solutions
Smart IoT for ubiquitous healthcare,
Secure and sustainable mobile healthcare Technologies
Bio-Nano communication for secure healthcare
RF Antenna Design for Body-centric smart and sustainable networks
State-of-the art Frameworks and Architectures for smart, secure and sustainable IoT
Smart, Secure and Sustainable digital healthcare.
Wearable and Secure IoT devices for Smart medical home monitoring
Applications of smart IoT based secure and sustainable medical world
Machine Learning and Deep Learning Algorithms for Clinical Applications
QoS/QoE management and optimization solutions in Internet of Medical Things
Wearable Devices for Clinical and Health Informatics Applications
Telemedicine/Telecare/Telesurgery based frameworks, and solutions for medical media monitoring.
Biometric Security for Healthcare
Smart Decentralized Framework for Health Monitoring
Smart and Energy-aware wearable Healthcare system
Fog computing/edge computing for IoT based Healthcare Applications
191005: Sensor Data Fusion for IoT and Industrial Applications
IoT environments using sensor data fusion
Industrial applications using sensor data fusion
Mathematical algorithms for sensor data fusion
Principles and techniques for sensor data fusion
Data preparation techniques for analysis in sensor data fusion
191006: Mobile and Embedded Devices in Multi-access Edge Computing
MEC (Multi-access edge computing) management and orchestration
MEC for IoT
Mobility management in MEC
SDN/NFV for enabling MEC
Pre-caching of the content at MEC
Distributed optimization for MEC
Data-driven optimization for MEC
Multi Agents based orchestration for MEC
Security management in MEC
Privacy management in MEC
191007: Intelligent Systems in Sensor Networks and Internet of Things
Data Mining for IoT and Sensor Networks
Intelligent Data Analysis in IoT and Sensor Networks
Intelligent Real-Time Data Processing of IoT and Sensor Networks
Soft Computing Applications for IoT and Sensor Networks
Machine-Learning and Artificial Intelligence for IoT and Sensors Networks
Nature-Inspired Evolutionary Algorithms and Systems for Pattern Recognition, Data Analysis, and Modeling in IoT and Sensor Networks
Heuristic Algorithms for IoT and Sensor Networks
Pattern Recognition and Classification for Multivariate Time Series
Intelligent Network Technologies for IoT and Sensor Networks
Intelligent Applications of IoT and Sensor Networks
Intelligent Decision-Making in IoT and Sensor Networks
Algorithms and Optimization Technologies for IoT and Sensor Network Scenarios
Adaptive Heterogeneous Sensor Networks
Cognitive Applications and Intelligence in IoT and Sensor Networks
Intelligent Intrusion Detection Techniques for IoT and Sensor Networks
Disaster Recovery for IoT and Sensor Networks
Learning from Data Streams in IoT and Sensor Networks
Adaptive Quality of Service (QoS) Provisioning in IoT and Sensor Networks
Deep Learning-Based Solutions for IoT Systems and Sensor Networks
Applications and Use-Cases of Smart IoT Systems, and Real-Time Sensor Networks
Distributed Computing Frameworks for IoT and Sensor Networks
Tools and Frameworks for Designing, Deploying and Maintaining Intelligent IoT Infrastructure
19008: Home Automation for the Internet of Things
Smart Sensors for Home Automation and Smart Homes
Wireless Sensor Networks for Smart Homes
Internet of Things-Enabled Home Automation
Green Communication for Smart Homes
Energy Management Systems and Networks for Smart Homes
Smart Environment Monitoring and Control
Smart Management of Home Appliances
19009: Sensing in Difficult Environments: Biomedical, Environmental and Industrial Sensors
biomedical
environmental
industrial
harsh environment
Internet of Things (IoT)
diagnostics
safety
process control
disease diagnosis
electrochemical
optical
miniaturization
19010: AI Enabled Communication on IoT Edge Computing
AI-enabled edge computing architectures, frameworks, platforms, and protocols for IoT;
Machine learning techniques in edge computing for IoT;
Edge network architecture and optimization for AI applications at scale;
AI Algorithms for dynamic and large-scale topology discovery;
AI for wireless network resource management and medium access control;
Energy-efficient edge network operations via AI algorithms;
Deep learning and reinforcement learning in network control and management;
Self-learning and adaptive networking protocols and algorithms;
Novel applications, and case studies with edge computing for IoT;
AI modeling and performance analysis in edge computing for IoT.
19011: All topics related to IT or Computer
All topics related to IT or Computer
