Topics of Interest  \
AIDML is the premier forum for the presentation of new advances and research results in these fields. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

(1) Algorithms

Analysis of algorithms

Ant colony algorithm

Approximation algorithm

Combinatorial search

Competitive analysis

Computability theory

Computational complexity theory

Embarrassingly parallel problem

Emergent algorithm

Evolutionary algorithm

Genetic algorithm

Graph exploration algorithm

Las Vegas algorithm

Monte Carlo algorithm

Polynomial time approximation scheme

Quantum algorithm

Randomized algorithm

Sorting algorithm

Search algorithm

Super-recursive algorithm

Tree search algorithm

 


(2) Artificial Intelligence

Electrical machines

Electrical materials Electromagnetics

High voltage techniques microwave

Power electronics and applications antennas

Mechatronics Communication theory and systems

Control theory and applications Optoelectronics

Robotics and automation systems Biomedical electronics

Intelligent systems Sensors

Electronics instrumentation

Circuits and systems Manufacture and operation of electrical and electronic systems

QoS Provisioning and Architectures

Embedded System

Multimedia Systems and Applications

Parallel and Distributed Computing

Cryptography

Telecommunication Services and Applications

Wireless Networking

Optical Communications

Multimedia Communications

Network Performance

Innovative Networking Technologies

Network Security

Network Planning and Design


(3) Big Data and Database

Big Data Models and Algorithms

Foundational Models for Big Data

Algorithms and Programming Techniques for Big Data Processing

Big Data Analytics and Metrics

Representation Formats for Multimedia Big Data

Big Data Architectures

Cloud Computing Techniques for Big Data

Big Data as a Service

Big Data Open Platforms

Big Data in Mobile and Pervasive Computing

Big Data Management

Big Data Persistence and Preservation

Big Data Quality and Provenance Control

Big Data Storage and Retrieval

Big Data Security and Privacy

Big Data System Security and Integrity

Big Data Information Security

Privacy Preserving Big Data Analytics

Big Data in Smart Cities

Big Data for Improving Resilient Infrastructures

Big Data Applications such as Healthcare and Transportation

Big Data for Enterprise, Government, and Society

Big Data for Science and Engineering Research

Big Data Search, Mining, and Visualization

Algorithms and Systems for Big Data Search

Distributed, and Peer-to-peer Search

Machine learning based on Big Data

Visualization Analytics for Big Data

 


(4) Machine Learning

Deep and Reinforcement Learning

Machine Learning for Network Slicing Optimization

Machine Learning for 5G system

Machine Learning for User Behavior Prediction

New Innovative Machine Learning Methods

Optimization of Machine Learning Methods

Performance Analysis of Machine Learning Algorithms

Experimental evaluations of machine learning

Machine learning for multimedia

Machine learning for Internet of Things

Machine learning for security and protection

Distributed machine learning algorithms

Intelligent cloud-support communications

Intelligent ressource allocation

Intelligent energy-aware/green communications

Intelligent software defined networks

Intelligent cooperative networks

Intelligent positioning and navigation systems

Intelligent wireless communications

Intelligent wireless sensor networks

Intelligent underwater sensor networks