VLSI and Hardware Implementations using Modern Machine Learning Methods
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VLSI and Hardware Implementations using Modern Machine Learning Methods
Sinha, G.R.; Lata, Kusum; Saini, Sandeep
Taylor & Francis Ltd
10/2024
312
Mole
9781032061726
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. VLSI and Hardware Implementation Using Machine Learning Methods: A Systematic Literature Review. 2. Machine Learning for Testing of VLSI Circuit. 3. Online Checkers to Detect Hardware Trojans in AES Hardware Accelerators. 4. Machine Learning Methods for Hardware Security. 5. Application Driven Fault Identification in NoC Designs. 6. Online Test Derived from Binary Neural Network for Critical Autonomous Automotive Hardware. 7. Applications of Machine Learning in VLSI Design. 8. An Overview of High-Performance Computing Techniques Applied to Image Processing. 9. Machine Learning Algorithms for Semiconductor Device Modeling. 10. Securing IoT-Based Microservices Using Artificial Intelligence. 11. Applications of the Approximate Computing on ML Architecture. 12. Hardware Realization of Reinforcement Learning Algorithms for Edge Devices. 13. Deep Learning Techniques for Side-Channel Analysis. 14. Machine Learning in Hardware Security of IoT Nodes. 15. Integrated Photonics for Artificial Intelligence Applications.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
GaN HEMT;Reservoir Computing;S Box;Power Consumption;FPGA Implementation;Ml Algorithm;Gate Level Netlist;Side Channel Analysis;EDA Tool;Ml Model;Ht;IoT Device;Unsupervised Ml;Hardware Accelerators;Supervised Machine Learning;Supervised Machine Learning Algorithms;Convolutional Layers;FPGA Architecture;Hardware Security;FPGA;Hidden Layers;Machine Learning;Neuromorphic Computing;GPU Cluster;HEMT Device
1. VLSI and Hardware Implementation Using Machine Learning Methods: A Systematic Literature Review. 2. Machine Learning for Testing of VLSI Circuit. 3. Online Checkers to Detect Hardware Trojans in AES Hardware Accelerators. 4. Machine Learning Methods for Hardware Security. 5. Application Driven Fault Identification in NoC Designs. 6. Online Test Derived from Binary Neural Network for Critical Autonomous Automotive Hardware. 7. Applications of Machine Learning in VLSI Design. 8. An Overview of High-Performance Computing Techniques Applied to Image Processing. 9. Machine Learning Algorithms for Semiconductor Device Modeling. 10. Securing IoT-Based Microservices Using Artificial Intelligence. 11. Applications of the Approximate Computing on ML Architecture. 12. Hardware Realization of Reinforcement Learning Algorithms for Edge Devices. 13. Deep Learning Techniques for Side-Channel Analysis. 14. Machine Learning in Hardware Security of IoT Nodes. 15. Integrated Photonics for Artificial Intelligence Applications.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
GaN HEMT;Reservoir Computing;S Box;Power Consumption;FPGA Implementation;Ml Algorithm;Gate Level Netlist;Side Channel Analysis;EDA Tool;Ml Model;Ht;IoT Device;Unsupervised Ml;Hardware Accelerators;Supervised Machine Learning;Supervised Machine Learning Algorithms;Convolutional Layers;FPGA Architecture;Hardware Security;FPGA;Hidden Layers;Machine Learning;Neuromorphic Computing;GPU Cluster;HEMT Device
