Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Machine Learning in Resource-Constrained Embedded Systems

Machine Learning in Resource-Constrained Embedded Systems

Journal
Impact Score 2.97

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 25-07-2020
Journal Impact Score: 2.97
Journal Name: Microprocessors and Microsystems
Publisher: Microprocessors and Microsystems

Special Issue Call for Papers


Machine learning (ML) methods, in the presence of deep learning techniques and big data gathered by the emergence of Internet of Things (IoT) and Cyber-Physical Systems (CPS), play a critical role in extracting meaningful information from the surrounding world. Transferring such amount of data to data-centers and clouds for storage and computational goals, either for training or for inference, may not be always possible because of costs like time, energy, network, and so on. These costs may not be acceptable for many real-world applications, including time-sensitive, battery-operated, and connectivity-limited devices. A resulting trend is thus, in-sensor/near-sensor computations and/or domain-specific architectures which perform optimizations using specialized ML accelerators. On the other hand, ML applications often need to achieve high utility/accuracy under certain resource constraints. The constraints may be changed to optimization goals as well, depending on the application type. Addressing this tradeoff is an inherent challenge that needs to be investigated in a principled fashion in order to understand the physical world more practically and effectively, raising the need to upgrade and adapt ML algorithms. In this special issue, we welcome original submissions in all theoretical and practical, yet application-specific, design and analysis methods of machine learning, deep learning, and artificial intelligence in the context of embedded systems and edge-computing.



Topics of interest include (but not limited to):




  • Design methodologies for resource-constrained ML hardware accelerators


  • ML workload acceleration on conventional technologies like FPGA, ASIP and ASIC


  • Acceleration of domain-specific ML algorithms for edge-computing, IoT, and CPS


  • Approximate ML for resource-constrained systems


  • Resource-aware approximate ML


  • Design methodologies for scalable ML


  • Design methodologies for adaptive ML


  • Metrics and methods to evaluate ML accuracy/utility


  • New paradigms of ML design and implementation



Submission Guidelines:



All authors who presented quality papers at the Real-time and Embedded Systems and Technologies Conference (RTEST 2020) are highly encouraged to submit an extended version of their paper for possible inclusion in this special issue. Besides submissions based on RTEST 2020 high-quality papers, other high-quality submissions within the scope of the special issue are highly welcomed. Each submission will be reviewed by at least three reviewers to ensure a high quality of selected papers for the special issue.



The papers must be written in English and describe original research neither published nor currently under review in any other journal or conference. The call and author guidelines for preparation of manuscripts can be found at http://www.elsevier.com/locate/micpro. All manuscripts and any supplementary material should be submitted to the Elsevier online submission system Evise of the MICPRO journal, available at: https://www.evise.com/profile/#/MICPRO/login. Please select "SI: ML-RCES" from the special issue drop-down list (NOT any other special or regular issue). Please send all enquiries regarding this special issue to Hamid Sarbazi-Azad at [email protected].



Important Dates:



Submission deadline: 25th July 2020



Interim decision: 25th September 2020



Revised papers submission: 25th October 2020



Final decision: 25th December 2020



Guest Editors:



Farshad Khunjush, Shiraz University, [email protected]



Mehdi Kargahi, University of Tehran, [email protected]



Masoud Daneshtalab, Mälardalen University, [email protected]



Hamid Sarbazi-Azad, Sharif University of Technology, and Institute for Research in Fundamental sciences (IPM), [email protected]




Closed Special Issues

Publisher
Journal Details
Closing date
G2R Score
Intelligent Computing for Next-Generation Embedded IoT

Intelligent Computing for Next-Generation Embedded IoT

Microprocessors and Microsystems
Closing date: 30-01-2022 G2R Score: 2.97
Intelligent Sensors and Microsystems for Smart Cities

Intelligent Sensors and Microsystems for Smart Cities

Microprocessors and Microsystems
Closing date: 20-10-2021 G2R Score: 2.97
Complex Embedded Systems for Mobile Sensors

Complex Embedded Systems for Mobile Sensors

Microprocessors and Microsystems
Closing date: 25-09-2021 G2R Score: 2.97
Role of Embedded Systems in Internet of Medical Things

Role of Embedded Systems in Internet of Medical Things

Microprocessors and Microsystems
Closing date: 20-08-2021 G2R Score: 2.97
Intelligent Decision Making Methods for Embedded Devices in IoT Environments

Intelligent Decision Making Methods for Embedded Devices in IoT Environments

Microprocessors and Microsystems
Closing date: 20-08-2021 G2R Score: 2.97
AUTOMATION & INTELLIGENCE WITH EMBEDDED SYSTEMS FOR CYBER PHYSICAL SYSTEMS

AUTOMATION & INTELLIGENCE WITH EMBEDDED SYSTEMS FOR CYBER PHYSICAL SYSTEMS

Microprocessors and Microsystems
Closing date: 15-08-2021 G2R Score: 2.97
Future Embedded Architecture for Green and Self Powered IoT

Future Embedded Architecture for Green and Self Powered IoT

Microprocessors and Microsystems
Closing date: 01-08-2021 G2R Score: 2.97
Low Power Consumption Embedded Devices in IoT Microsystems

Low Power Consumption Embedded Devices in IoT Microsystems

Microprocessors and Microsystems
Closing date: 01-08-2021 G2R Score: 2.97
Artificial Intelligence for Self-Organizing Smart Transportation System

Artificial Intelligence for Self-Organizing Smart Transportation System

Microprocessors and Microsystems
Closing date: 29-07-2021 G2R Score: 2.97
Hybrid artificial intelligent in embedded system for smart industry

Hybrid artificial intelligent in embedded system for smart industry

Microprocessors and Microsystems
Closing date: 15-07-2021 G2R Score: 2.97
Enabling Technologies for Intelligent Embedded Systems: Changing the Landscape of Research and Development

Enabling Technologies for Intelligent Embedded Systems: Changing the Landscape of Research and Development

Microprocessors and Microsystems
Closing date: 30-06-2021 G2R Score: 2.97
Deep Reinforcement Learning for Medical Applications on Embedded Devices

Deep Reinforcement Learning for Medical Applications on Embedded Devices

Microprocessors and Microsystems
Closing date: 30-06-2021 G2R Score: 2.97
Design methodologies and tools for Integrated 5G/6G technologies and their applications

Design methodologies and tools for Integrated 5G/6G technologies and their applications

Microprocessors and Microsystems
Closing date: 15-06-2021 G2R Score: 2.97
AI based smart precision agriculture using Embedded IoT for sustainable environment

AI based smart precision agriculture using Embedded IoT for sustainable environment

Microprocessors and Microsystems
Closing date: 15-05-2021 G2R Score: 2.97
Embedded system reconfigurable architecture for data mining and mobile applications

Embedded system reconfigurable architecture for data mining and mobile applications

Microprocessors and Microsystems
Closing date: 10-05-2021 G2R Score: 2.97
Advances in Multi-Core and Many-Core Systems

Advances in Multi-Core and Many-Core Systems

Microprocessors and Microsystems
Closing date: 01-05-2021 G2R Score: 2.97
Embedded multi/manycore processors for ml/dl in medical cyber physical systems

Embedded multi/manycore processors for ml/dl in medical cyber physical systems

Microprocessors and Microsystems
Closing date: 30-04-2021 G2R Score: 2.97
IOT ASSISTED DIGITAL TWINS IN SMART AGRICULTURE

IOT ASSISTED DIGITAL TWINS IN SMART AGRICULTURE

Microprocessors and Microsystems
Closing date: 30-04-2021 G2R Score: 2.97
Selected papers from IEEE Nordic Circuits and Systems Conference 2020

Selected papers from IEEE Nordic Circuits and Systems Conference 2020

Microprocessors and Microsystems
Closing date: 30-04-2021 G2R Score: 2.97
Adaptive and Reconfigurable Embedded Systems

Adaptive and Reconfigurable Embedded Systems

Microprocessors and Microsystems
Closing date: 15-04-2021 G2R Score: 2.97
DATA SCIENCE ADVANCEMENTS IN SMART MOBILITY

DATA SCIENCE ADVANCEMENTS IN SMART MOBILITY

Microprocessors and Microsystems
Closing date: 15-04-2021 G2R Score: 2.97
Machine Learning and Blockchain for Cognitive Internet of Things

Machine Learning and Blockchain for Cognitive Internet of Things

Microprocessors and Microsystems
Closing date: 15-03-2021 G2R Score: 2.97
Cyber physical Microsystems for signal processing and navigation systems

Cyber physical Microsystems for signal processing and navigation systems

Microprocessors and Microsystems
Closing date: 28-02-2021 G2R Score: 2.97
Embedded Artificial Intelligence and Machine Learning for Real-Time Cyber Physical Systems and Networks

Embedded Artificial Intelligence and Machine Learning for Real-Time Cyber Physical Systems and Networks

Microprocessors and Microsystems
Closing date: 15-02-2021 G2R Score: 2.97
Artificial intelligence and Internet of People for hyper connected cyber physical systems

Artificial intelligence and Internet of People for hyper connected cyber physical systems

Microprocessors and Microsystems
Closing date: 30-01-2021 G2R Score: 2.97
Architectures and Systems for Automotive, Aeronautic and Intelligent Transportation (ASAASIT’2020)

Architectures and Systems for Automotive, Aeronautic and Intelligent Transportation (ASAASIT’2020)

Microprocessors and Microsystems
Closing date: 24-01-2021 G2R Score: 2.97
European Projects in Embedded Systems Design (EPESD)

European Projects in Embedded Systems Design (EPESD)

Microprocessors and Microsystems
Closing date: 20-01-2021 G2R Score: 2.97
Emerging Challenges and Opportunities in AI-enabled Embedded Systems for Signal Processing Applications

Emerging Challenges and Opportunities in AI-enabled Embedded Systems for Signal Processing Applications

Microprocessors and Microsystems
Closing date: 05-01-2021 G2R Score: 2.97
Memory and Storage Computing (MSC)

Memory and Storage Computing (MSC)

Microprocessors and Microsystems
Closing date: 25-11-2020 G2R Score: 2.97
Securing Critical Infrastructure on Internet of Things for Smarter Cities

Securing Critical Infrastructure on Internet of Things for Smarter Cities

Microprocessors and Microsystems
Closing date: 15-11-2020 G2R Score: 2.97
Embedded Computing (MECO 2019)

Embedded Computing (MECO 2019)

Microprocessors and Microsystems
Closing date: 02-11-2020 G2R Score: 2.97
Holistic Technologies for Sustainable Cyber-Physical Systems (SI:HT4SCPS)

Holistic Technologies for Sustainable Cyber-Physical Systems (SI:HT4SCPS)

Microprocessors and Microsystems
Closing date: 01-08-2020 G2R Score: 2.97
Machine Learning in Resource-Constrained Embedded Systems

Machine Learning in Resource-Constrained Embedded Systems

Microprocessors and Microsystems
Closing date: 25-07-2020 G2R Score: 2.97
CyberSecurity on Hardware (CyberSECHARD 2019 Workshop)

CyberSecurity on Hardware (CyberSECHARD 2019 Workshop)

Microprocessors and Microsystems
Closing date: 16-07-2020 G2R Score: 2.97
Emerging Architectures for Energy-efficient and Real-time Cyber-physical Systems

Emerging Architectures for Energy-efficient and Real-time Cyber-physical Systems

Microprocessors and Microsystems
Closing date: 09-03-2020 G2R Score: 2.97
Embedded and Cyber-Physical Systems

Embedded and Cyber-Physical Systems

Microprocessors and Microsystems
Closing date: 16-12-2019 G2R Score: 2.97
Omni-layer Intelligent systems (COINS) 2019

Omni-layer Intelligent systems (COINS) 2019

Microprocessors and Microsystems
Closing date: 01-09-2019 G2R Score: 2.97
European Projects in Embedded Systems Design (EPESD)

European Projects in Embedded Systems Design (EPESD)

Microprocessors and Microsystems
Closing date: 29-12-2017 G2R Score: 2.97
Mobile Systems Technologies

Mobile Systems Technologies

Microprocessors and Microsystems
Closing date: 30-11-2017 G2R Score: 2.97
Reconfigurable Computing and FPGAs

Reconfigurable Computing and FPGAs

Microprocessors and Microsystems
Closing date: 01-10-2017 G2R Score: 2.97