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10th International Advanced Computing Conference on 05th & 06th December, 2020 at Taj Vivanta Goa, Panaji

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Call For Papers




Track 1

Advances in High Performance Computing

  • Adhoc and Sensor Networks
  • Network Security
  • Social Media and Networking
  • Multi-Core Processing
  • Databases and Data Mining Applications
  • Distributed Databases
  • Query and Search Engine Optimization
  • Software Engineering
  • Software Project Management
  • Algorithms for Numerical Linear Algebra and Data Structures
  • Load Balancing, Scheduling and Resource Management in Networks.
  • Large Scale Graph Analytics
  • High Performance Computing
  • Big Data Computing and its Applications
  • Hardware Acceleration for Parallel Applications
  • Parallelism in Scientific Data Visualization and Visual Analytics
  • Scientific/Engineering/Industrial Applications and Workloads
  • Exascale Computing and Cloud Platforms
  • Data Center Architectures and Services
  • Parallel Languages, Programming Environments and Performance Assessment
  • Hybrid Parallel Programming with GPUs and Accelerators
Track 2

Advances in Data Science

  • Mathematical, Probabilistic and Statistical Models and Theories
  • Machine Learning Theories, Models and Systems
  • Knowledge Discovery Theories, Models and Systems
  • Manifold and Metric Learning
  • Deep Learning and Deep Analytics
  • Scalable Analysis and Learning
  • Heterogeneous Data/Information Integration
  • Data Pre-Processing, Sampling and Reduction
  • Dimensionality Reduction
  • Feature Selection, Transformation and Construction
  • Large Scale Optimization
  • High Performance Computing for Data Analytics
  • Architecture, Management and Process for Data Science
  • Data Analytics, Machine Learning and Knowledge Discovery
  • Data Science Meets Social Science
  • Security, Trust and Risk in Big Data
  • Data Integrity, Matching and Sharing
  • Privacy and Protection Standards and Policies
  • Privacy Preserving Big Data Access/Analytics
  • Social Impact and Social Good
Track 3

Advance of Artificial Intelligence in Interdisciplinary areas

  • Application of hybrid artificial intelligence approaches for hydraulic problems.
  • Using artificial neural networks for estimation of the energy consumption obtained by dams and hydropower plants.
  • Swarm intelligence for optimum weight of the structures.
  • Metaheuristic optimization algorithm in design optimization of 2D and 3D steel or concrete structure.
  • Genetic programming for large-scale civil engineering problems.
  • Application of fuzzy logic in civil engineering problems.
  • Machine learning for mechanical problems in civil engineering.
  • Optimization model for single- and multiobjective solutions for construction management.
  • Application of AI in Traffic Control and Safety.
  • Application of AI in machine design
  • Applications of  AI  in fluid dynamics
  • Modeling  Analysis  CAD/CAM/CAE
  • Applications of AI in  CFD
  • Advances in FEA/FEM
  • eep learning of NC/CNC Machines
  • RF/ Antenna/Microwaves
  • Wireless sensor networks / Ad-hoc sensor networks
  • Cognitive radio
  • Machine type communication (MTC) /Device to Device communication (D2D)
  • MIMO / Massive MIMO/ mmWave communication
  • Cellular IoT / NB- IoT/ LoRa / SigFox
  • Optical signal processing
  • Radar signal processing
  • Signal and image processing
  • Audio signal processing
  • CAD for VLSI
  • Analog VLSI
  • System on Chip (SoC)
  • Network on Chip (NoC)
  • VLSI signal processing
  • Smart grid Systems
  • Energy Storage Technologies and Systems
  • Power Converter Topologies
  • IoT Applications
  • Big Data and Deep learning Applications
  • Computational intelligence and Optimization
  • Information Security and Privacy
  • Industrial Automation
  • Renewable Power Conversion Technologies
  • Smart Electric Vehicles
  • Distributed Generations and Systems
  • Power and Control Systems
  • Restructured PowerSystems
Track 4

Advances in Machine Learning and Deep Learning

  • Active Machine Learning
  • Manifold Learning
  • Fuzzy Learning
  • Kernel Based Learning
  • Genetic Learning
  • Hybrid Models
  • Fuzzy Approaches to Parameter Estimation
  • Bayesian Estimation Approaches
  • Recurrent Neural Networks
  • Large Scale Item Categorization
  • Machine Learning over the Cloud
  • Learning Paradigms
  • Clustering, Classification and Regression Methods
  • Supervised, Semi-Supervised and Unsupervised Learning
  • Algebra, Calculus, Matrix and Tensor Methods in Context of Machine Learning
  • Reinforcement Learning
  • Optimization Methods
  • Parallel and Distributed Learning
  • Recurrent Neural Networks and its Applications
  • Tensor Learning
  • Multi-Scale Learning
  • Unsupervised Feature Learning
  • Recommender Systems
  • Bioinformatics and Biomedical Informatics
  • Healthcare and Clinical Decision Support
  • Collaborative Filtering
  • Computer Vision
  • Human Activity Recognition
  • Information Retrieval
  • Cybersecurity
  • Natural Language Processing
  • tatistical Learning Theory

Authors are cordially invited to submit papers through on line paper submission process ( IACC submission system) before 30th September, 2020.


Instructions For Authors

It is important for the authors to read our ethics website. It is crucial to the quality of the conference and needs to be strictly followed. The website can be found at: https://www.springer.com/gp/authors-editors/journal-author/journal-author-helpdesk/before-you-start/before-you-start/1330.

Style files and Templates are available at: https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines

IACC reserves the right to exclude a paper from distribution after the conference (including its removal from CCIS Proceedings) if the paper is not presented at the conference.Papers are reviewed on the basis that they do not contain plagiarised material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and the Springer will suitable take action. Non-refundable registration fees must be paid prior to the due date of registration.The most common types of papers accepted for publication are full papers (10–20+ pages) and short papers (6+ pages), where a page constitutes 300-400 words. (including tables, figures and references) (it is absolutely necessary to respect the Styleguide for Papers). A blind peer-review process will be used to evaluate all submitted papers. Each full registration for the conference will cover a maximum of one paper; each student registration will cover a single paper only. Extra paper, 2nd paper and onwards, must be registered separately.The format instructions in the template must be followed


Note: Registration fees is non-refundable.

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