Conference Information

IACC 2020: International Advance Computing Conference

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Submission Date:
2020-08-15 Extended
Notification Date:
2020-10-15
Conference Date:
2020-10-05
Location:
Taj Vivanta Goa, Panaji
Years:
10
Viewed: 22681   Tracked: 8   Attend: 2

Conference Partner Index (CP-I)

47.1 / 100
Ranked #2,134 of 5,647 conferences · Top 38%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
65
Community attention (10%)
29
Public record completeness (15%)
25

Inputs used: Editions on record: 10 · Researchers following it here: 8 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-02

Call For Papers

IACC 2020 (International Advance Computing Conference) is an academic conference held in Taj Vivanta Goa, Panaji on 2020-10-05. The paper submission deadline is 2020-08-15 (extended). Acceptance notifications are sent on 2020-10-15.

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
Last updated by Dou Sun on

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