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BIG DATA
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MACHINE LEARNING
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DEEP LEARNING
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About |
Cyber-Physical Systems (CPSs) and the Internet of Things (IoT) are an increasingly important class of systems that integrate computation and communication with physical processes. CPSs usually monitor and control physical processes in a feedback loop where physical elements affect computation and vice versa. Modern society now relies on CPSs to perform critical operations in sectors ranging from assisted living, power generation and distribution, building design and automation, transportation, manufacturing, health monitoring, and emergency management, all of which serve critical functions in our daily lives. Advances in CPSs promise to enable adaptability and scalability that will far exceed the current embedded engineering systems. |
Call For Paper |
The workshop will consist of invited and peer-reviewed research papers about Cyber-Physical Systems. We invite original contributions including, but not limited to the following: Big Data Management:Sensor systems and applications that enhance energy efficiency, energy reliability, durability, and comfort; Distributed generation, alternative energy, renewable sources, and energy storage in buildings; Emerging standards for data collection, energy control, or interoperability of disparate devices or systems; Sensing, modeling, and predicting the urban heartbeat including sounds, movements, and radio spectrum; Human in the loop sensing and control for efficient usage of electricity, gas, heating, water; Sensor systems for reliable occupancy counting; Long-lived and energy harvesting sensor systems; Scalable indoor localization and contextual computing; Security, privacy, safety, and reliability in built systems; Empirical studies of city-scale wireless communications; Environmental Sensing; Vehicle technologies and Traffic. Big Data Security, Privacy and Trust:Intrusion Detection for Smart Grid and Smart Buildings; Anomaly and APT Detection in Very Large Scale Systems; High-Performance Cryptography; Visualizing Large Scale Security Data; Threat Detection using Big Data Analytics; Privacy Threats of Big Data in Energy Systems; Privacy-Preserving Big Data Collection/Analytics; HCI Challenges for Big Data Security & Privacy; Sociological Aspects of Big Data Privacy; Trust management in IoT and other Big Data Systems. |
Hotel Deals |
OTHER BIG DATA EVENTS |
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![]() IEEE HPSC 2021 : 7th IEEE International Conference on High Performance and Smart Computing
New York, USA May 15, 2021 |
![]() BigDaCI 2021 : 6th International Conference on Big Data Analytics, Data Mining and Computational Intelligence
Online Jul 21, 2021 |
![]() ITIOT 2021 : 2nd International Conference on Information Technology and Internet of Things
Chengdu, China Apr 23, 2021 |
OTHER MACHINE LEARNING EVENTS |
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![]() IEEE CIIoT 2021 : IEEE Symposium on Computational Intelligence in IoT and Smart Cities
Orlando, Florida, USA Dec 05, 2021 |
![]() IEEE ICDL 2021 : The IEEE International Conference on Development and Learning
Beijing, China Aug 23, 2021 |
![]() ICMLT 2021 : 6th International Conference on Machine Learning Technologies
Jeju Island, South Korea Apr 23, 2021 |
OTHER DEEP LEARNING EVENTS |
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![]() MLT 2021 : 2nd International Conference on Machine Learning & Trends
London, United Kingdom Jul 24, 2021 |
![]() X-SENTIMENT 2021 : 6th International Workshop on eXplainable SENTIment Mining and EmotioN deTection
Hersonissos, Greece Jun 06, 2021 |
![]() NCAA 2022 : Topical Collection on Deep Learning for Time Series Data for Neural Computing and Applications
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![]() ML SA 2021 : Application of Machine Learning in Smart Agriculture
ABES Institute of Technology, Ghaziabad |