info.gsrd@gmail.com
 

Important Dates

You may submit the paper for the conference. The Paper must be in the format specified on the website.

  • Early Bird registration :
    03rd Aug 2023
  • Paper submission deadline :
    16th Aug 2023
  • Last date of registration :
    20th Aug 2023
  • Date of Conference :
    02nd - 03rd Sep 2023

 Paper Submission

Submit your conference paper online

Global Society for Research and Development

Call For Paper

International conference on Machine learning Big data management Cloud and Computing provides a leading forum for the presentation of new advances and research results in the fields of Machine learning Big data management Cloud and Computing. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Accordingly, Topics of interest for submission include, but are not limited to: 

Machine learning

  • Deep and Reinforcement learning
  • Pattern recognition and classification for networks
  • 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
  • Data mining in heterogeneous networks
  • Machine learning for multimedia
  • Machine learning for Internet of Things
  • Machine learning for security and protection
  • Distributed and decentralized 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

Big data management

  • Big Data Analytics
  • Data Science Models and Approaches
  • Algorithms for Big Data
  • Big Data Search and Information Retrieval Techniques
  • Data Mining and Knowledge Discovery Approaches
  • Machine Learning Techniques for Big Data
  • Big Data Acquisition, Integration, Cleaning, and Best Practices
  • Big Data and Deep Learning
  • Scalable Computing Models, Theories, and Algorithms
  • In-Memory Systems and Platforms for Big Data Analytics
  • Big Data and High Performance Computing
  • Cyber-Infrastructure for Big Data
  • Performance Evaluation Reports for Big Data Systems
  • Storage Systems (including file systems, NoSQL, and RDBMS)
  • Resource Management Approaches for Big Data Systems
  • Many-Core Computing and Accelerators
  • Big Data Applications for Internet of Things
  • Mobile Applications of Big Data
  • Big Data Applications for Smart City
  • Healthcare Applications such as Genome Processing and Analytics
  • Scientific Application Case Studies on Cloud Infrastructure
  • Big Data in Social Networks
  • Data Streaming Applications
  • Fault Tolerance and Reliability
  • Scalability of Big Data Systems
  • Energy-Efficient Algorithms
  • Big Data Privacy and Security
  • Big Data Archival and Preservation
  • Visual Analytics Algorithms and Foundations
  • Graph and Context Models for Visualization
  • Analytics Reasoning and Sense-making on Big Data
  • Visual Representation and Interaction
  • Big Data Transformation, and Presentation

Cloud and Computing

  • Cloud as a Service
  • Cloud Infrastructure
  • Cloud Management
  • Cloud Security
  • Cloud Applications
  • Cloud Computing Technologies
  • How to manage big data in cloud computing?