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BDIOT 2021 : The 5th International Conference on Big Data and Internet of Things

Singapore
Event Date: Aug 13, 2021 - Aug 15, 2021
Submission Deadline: Apr 01, 2021
Notification of Acceptance: Apr 20, 2021

About

Internet of Things (IOT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organizations and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, quickly and intelligently through advanced algorithms, techniques, models and tools. This new paradigm is enabled by the maturity of several different technologies, including the internet, wireless communication, cloud computing, sensors, big data analytics and machine learning algorithms.
Big Data is another paradigm to describe processing of data to make it 'make sense' to people using IoT. Big Data has five characteristics: volume, velocity, variety, veracity and value. There are reports that businesses and research communities equipped with Big Data skills can provide additional incentives, opportunities, funding and innovation to their long-term strategies. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, earth science, security and risk analysis.

Call For Paper

BIG DATA RESEARCH

  • Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
  • Modeling, Experiments, Sharing Technologies & Platforms
  • SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
  • Analytics, Intelligence and Knowledge Engineering
  • Data Center Enabled Technologies
  • Sensor, Wireless Technologies, APIs
  • Networking and Social Networks
  • Data Management for Large Data
  • Security, Privacy and Risk
  • Software Frameworks (MapReduce, Spark etc) and Simulations
  • Modern Architecture
  • Volume, Velocity, Variety, Veracity and Value
  • Social Science and Implications for Big Data
  • Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
  • Big Data Algorithm, Methodology, Business Models and Challenges
  • Wireless Systems and Applications
  • New Service Models
  • Software Engineering for Big Data Analytics
  • Smart City and Transportation
  • Education and Learning
  • Business, Finance and Management
  • Large-scale Information Systems and Applications
  • Energy, Environment and Natural Science Applications
  • Social Networks Analysis, Media and e-Government
  • Proofs-of-concepts and Large-scale Experiments
  • Risk Modeling, Simulation, Legal Challenges
  • Open data: Issues, Services and Solutions
  • Earth Science Simulation and Processing
  • GPUs and Visualization
  • Case Studies of Real Adoption
  • Biomedical Experiments and Simulations
  • Healthcare Services and Health Informatics
  • Cancer and Tumor Studies with Big Data
  • DNA Sequencing, Organ Simulations and Processing
  • Volume, Velocity, Variety and Veracity
  • HCI and Gaming

INTERNET OF THINGS (IOT)  

  • Network Design and Architecture
  • Software Architecture and Middleware
  • Mobile Services
  • Data and Knowledge Management
  • Context-awareness and Location-awareness
  • Security, Privacy and Trust
  • Performance Evaluation and Modeling
  • Networking and Communication Protocols
  • Machine to Machine Communications
  • Intelligent Systems for IOT and Services Computing
  • Energy Efficiency
  • Social Implications for IOT
  • Future of IOT and Big Data
  • Technological focus for Smart Environments
  • Next Generation Networks
  • Smart City Examples and Case Studies
  • Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
  • Architecture for secure and interactive IOT
  • Intelligent Infrastructure and Guidance Systems
  • Traffic Theory, Modeling and Simulation
  • Sensor Networks, Remote Diagnosis and Development
  • Transportation Management
  • Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
  • 3D printing
  • Artificial Intelligence
  • Biotechnology
  • Communication
  • Data Processing
  • Electronic Technologies for in-vehicle
  • Internet of Things
  • Mode-to-Mode Systems
  • Nanotechnology
  • Sensors
  • Transport Safety and Mobility
  • Vehicle-to-Infrastructure
  • Vehicle-to-Vehicle 

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