RICE 2023

AboutCall for Papers

The Eighth International Conference on Research in Intelligent Computing in Engineering (RICE-2023) is a premier venue for bringing together a computer, electronics and associated area researchers, professionals and practitioners from both academia and industry, who are engaged in the different research domain. The conference encourages innovative research contribution providing the recent significant developments and promising future trends based applications, systems, tools, environments and infrastructure in the field of computation and related area.

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Artificial Intelligence & Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Semi-supervised Learning
  • Reinforcement Learning
  • Reasoning, Problem-solving
  • Knowledge Representation
  • Planning

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Communication Network

  • Communication Theory
  • Information & Coding Theory
  • Communication Quality, Reliability & Modelling
  • Wireless Communications
  • Machine Learning for Digital Communications
  • Deep Learning and Applications in Communications Systems
  • B5G/6G

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Natural Language Processing and Applications

  • Named Entity Recognition
  • Parsing/Chunking
  • Machine Translation
  • Text Classification
  • Language Models
  • Information Extraction/retrieval
  • Text Summarization/Generation
  • Automatic Text Correction
  • Question Answering/Machine Reading Comprehension
  • NLP Applications: Healthcare, Legal, Patent, Manufacturing, etc.

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Signal Processing and Embedded Computing

  • Signal, Image and Video Processing
  • Signal Processing for Communications
  • Signal Processing for Big Data
  • Signal Processing for the IoTs
  • Bio-Imaging and Biomedical Signal Processing
  • Telemedical and E-hospital
  • Biomechanics
  • VLSI
  • Embedded Computing

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Internet of Things (IoT) and Big Data Analytics

  • IoT Network Design and Architecture
  • IoT Services and Applications
  • IoT Monitoring & Controlling
  • IoT Mining Analysis & Sensors Data Handling
  • Smart Healthcare, Smart Homes and Cities
  • Energy Efficient Resource Utilization
  • Storage Systems of Scalable for Big Data
  • Massive Big Data Processing of Software and Tools
  • Techniques and Data Mining Tools for Big Data
  • Big Data Adoptation and Analytics of Cloud Computing Platforms
  • Scalable Architectures for Parallel Data Processing
  • Applications of IoT and Big Data

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Smart Manufacturing Technology

  • Applications of AI
  • Big Data
  • Blockchain and IoT
  • Digital Twin
  • Collaborative Robots (Cobots)
  • Additive Manufacturing
  • Fault Detection
  • Parameter Identification and Optimation
  • Uncertainty
  • Data-driven Optimization of Manufacturing Process
  • Mass Personalization
  • Robotics and Mechatronics
  • Mechanical and Automotive Engineering
  • Electronics and Communication Engineering
  • Automation and Control Engineering
  • Advanced Sustainable Materials
  • Computational Mechanic Model

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