Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Use Cases and Emerging Challenges

Book title Buchtitel
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Use Cases and Emerging Challenges
 
ISBN
978-3-031-40677-5
 
Editor Herausgeber_in
 
Publisher Herausgeber
Springer
 
Place of publishing Erscheinungsort
Cham
 

Publications Publikationen

Results 1-6 of 6 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Marchisio, Alberto ; Hanif, Muhammad Abdullah ; Shafique, Muhammad Adversarial ML for DNNs, CapsNets, and SNNs at the EdgeBook Contribution Buchbeitrag 7-Oct-2023
2Naseer, Mahum ; Bhatti, Iram Tariq ; Hasan, Osman ; Shafique, Muhammad Considering the Impact of Noise on Machine Learning AccuracyBook Contribution Buchbeitrag 7-Oct-2023
3Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad A Design Methodology for Energy-Efficient Embedded Spiking Neural NetworksBook Contribution Buchbeitrag 10-Oct-2023
4Marchisio, Alberto ; Shafique, Muhammad Embedded Neuromorphic Using Intel’s Loihi ProcessorBook Contribution Buchbeitrag 10-Oct-2023
5Prabakaran, Bharath Srinivas ; Shafique, Muhammad An End-to-End Embedded Neural Architecture Search and Model Compression Framework for Healthcare Applications and Use-CasesBook Contribution Buchbeitrag 7-Oct-2023
6Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad Massively Parallel Neural Processing Array (MPNA): A CNN Accelerator for Embedded SystemsBook Contribution Buchbeitrag 1-Oct-2023