embedded architectures Latest Research Papers

A Review on Workload Characteristics for Multi Core Embedded Architectures using Machine Learning and Deep Learning Techniques

2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) ◽

10.1109/wispnet51692.2021.9419405 ◽

2021 ◽

Author(s):

E. Jayanthi ◽

A.L. Vallikannu

Keyword(s):

Machine Learning ◽

Deep Learning ◽

Learning Techniques ◽

Embedded Architectures

Speeding up an Adaptive Filter based ECG Signal Pre-processing on Embedded Architectures

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2021.0120544 ◽

2021 ◽

Vol 12 (5) ◽

Author(s):

Safa Mejhoudi ◽

Rachid Latif ◽

Amine Saddik ◽

Wissam Jenkal ◽

Abdelhafid El Ouardi

Keyword(s):

Adaptive Filter ◽

Ecg Signal ◽

Embedded Architectures

Exploring low complexity embedded architectures for deep neural networks

10.32657/10356/150553 ◽

2021 ◽

Author(s):

◽

Soham Chatterjee

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Low Complexity ◽

Embedded Architectures

Corrigendum to “Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment” [Microprocessors and Microsystems Volume 72, February 2020, 102907]

Microprocessors and Microsystems ◽

10.1016/j.micpro.2020.103505 ◽

2020 ◽

pp. 103505

Author(s):

K. Tamilselvan ◽

P. Thangaraj. P

Keyword(s):

Energy Efficient ◽

Dynamic Frequency ◽

Embedded Architectures

Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment

Microprocessors and Microsystems ◽

10.1016/j.micpro.2019.102907 ◽

2020 ◽

Vol 72 ◽

pp. 102907 ◽

Cited By ~ 4

Author(s):

K. Tamilselvan ◽

P. Thangaraj

Keyword(s):

Energy Efficient ◽

Dynamic Frequency ◽

Embedded Architectures

Transactions on High-Performance Embedded Architectures and Compilers V

10.1007/978-3-662-58834-5 ◽

2019 ◽

Keyword(s):

High Performance ◽

Embedded Architectures

Policy-Based Security Modelling and Enforcement Approach for Emerging Embedded Architectures

2018 31st IEEE International System-on-Chip Conference (SOCC) ◽

10.1109/socc.2018.8618544 ◽

2018 ◽

Cited By ~ 2

Author(s):

Matthew Hagan ◽

Fahad Siddiqui ◽

Sakir Sezer

Keyword(s):

Embedded Architectures

Efficient embedded architectures for fast-charge model predictive controller for battery cell management in electric vehicles

EURASIP Journal on Embedded Systems ◽

10.1186/s13639-018-0084-3 ◽

2018 ◽

Vol 2018 (1) ◽

Cited By ~ 4

Author(s):

Anne K. Madsen ◽

Darshika G. Perera

Keyword(s):

Electric Vehicles ◽

Battery Cell ◽

Model Predictive Controller ◽

Fast Charge ◽

Charge Model ◽

Predictive Controller ◽

Embedded Architectures

Energy efficient scheduling algorithm for the multicore heterogeneous embedded architectures

Design Automation for Embedded Systems ◽

10.1007/s10617-018-9202-7 ◽

2018 ◽

Vol 22 (1-2) ◽

pp. 1-12 ◽

Cited By ~ 4

Author(s):

P. Anuradha ◽

Hemalatha Rallapalli ◽

G. Narsimha

Keyword(s):

Energy Efficient ◽

Scheduling Algorithm ◽

Energy Efficient Scheduling ◽

Embedded Architectures

StreamDrive: a Dynamic Dataflow Framework for Clustered Embedded Architectures

Journal of Signal Processing Systems ◽

10.1007/s11265-018-1351-1 ◽

2018 ◽

Vol 91 (3-4) ◽

pp. 275-301 ◽

Cited By ~ 1

Author(s):

Arthur Stoutchinin ◽

Luca Benini

Keyword(s):

Embedded Architectures

embedded architectures
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Review on Workload Characteristics for Multi Core Embedded Architectures using Machine Learning and Deep Learning Techniques

Speeding up an Adaptive Filter based ECG Signal Pre-processing on Embedded Architectures

Exploring low complexity embedded architectures for deep neural networks

Corrigendum to “Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment” [Microprocessors and Microsystems Volume 72, February 2020, 102907]

Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment

Transactions on High-Performance Embedded Architectures and Compilers V

Policy-Based Security Modelling and Enforcement Approach for Emerging Embedded Architectures

Efficient embedded architectures for fast-charge model predictive controller for battery cell management in electric vehicles

Energy efficient scheduling algorithm for the multicore heterogeneous embedded architectures

StreamDrive: a Dynamic Dataflow Framework for Clustered Embedded Architectures

Export Citation Format

embedded architecturesRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Review on Workload Characteristics for Multi Core Embedded Architectures using Machine Learning and Deep Learning Techniques

Speeding up an Adaptive Filter based ECG Signal Pre-processing on Embedded Architectures

Exploring low complexity embedded architectures for deep neural networks

Corrigendum to “Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment” [Microprocessors and Microsystems Volume 72, February 2020, 102907]

Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment

Transactions on High-Performance Embedded Architectures and Compilers V

Policy-Based Security Modelling and Enforcement Approach for Emerging Embedded Architectures

Efficient embedded architectures for fast-charge model predictive controller for battery cell management in electric vehicles

Energy efficient scheduling algorithm for the multicore heterogeneous embedded architectures

StreamDrive: a Dynamic Dataflow Framework for Clustered Embedded Architectures

embedded architectures
Recently Published Documents