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Machine Learning-Based Approach for Hardware Faults Prediction

IEEE transactions on circuits and systems. I, Regular papers, 2020-11, Vol.67 (11), p.3880-3892

2020

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Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator

IEEE transactions on very large scale integration (VLSI) systems, 2022-03, Vol.30 (3), p.303-314

2022

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Economic LSTM Approach for Recurrent Neural Networks

IEEE transactions on circuits and systems. II, Express briefs, 2019-11, Vol.66 (11), p.1885-1889

2019

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Towards Privacy Preserving IoT Environments: A Survey

Wireless communications and mobile computing, 2018-01, Vol.2018 (2018), p.1-15

2018

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Reconfigurable Hardware Design Approach for Economic Neural Network

IEEE transactions on circuits and systems. II, Express briefs, 2022-12, Vol.69 (12), p.5094-5098

2022

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Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware

IEEE transactions on biomedical circuits and systems, 2020-08, Vol.14 (4), p.852-866

2020

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Dynamic Fault Tolerance Approach for Network-on-Chip Architecture

IEEE journal on emerging and selected topics in circuits and systems, 2024-09, Vol.14 (3), p.384-394

2024

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Fortifying Strong PUFs: A Modeling Attack-Resilient Approach Using Weak PUF for IoT Device Security

2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024, p.1-5

2024

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Smart Streaming: Deep Learning Applications in Video Streaming Optimization

SoutheastCon 2024, 2024, p.22-27

2024

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A Novel 0.04 pJ/bit Dynamic TRNG using Bit Reconfigurable Ring Oscillators

SoutheastCon 2024, 2024, p.1546-1552

2024

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A Survey on Hardware Security: Current Trends and Challenges

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Low-Cost Hardware Design Approach for Long Short-Term Memory (LSTM)

2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023, p.1-5

2023

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A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease

Sensors (Basel, Switzerland), 2023-10, Vol.23 (19), p.8272

2023

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Self-Healing Router Approach for High-Performance Network-on-Chip

IEEE open journal of circuits and systems, 2021, Vol.2, p.485-496

2021

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A Survey on Neural Network Hardware Accelerators

IEEE transactions on artificial intelligence, 2024-08, Vol.5 (8), p.3801-3822

2024

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Advancements in Perceptron Hardware for Efficient Implementation in Artificial Neural Network

2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024, p.1-2

2024

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Efficient Pseudo Random Number Generator (PRNG) Design on FPGA

2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS), 2024, p.1-5

2024

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Scalable Video Streaming Solutions Using Federated Learning

2024 International Conference on Smart Applications, Communications and Networking (SmartNets), 2024, p.1-6

2024

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S2RNN: Self-Supervised Reconfigurable Neural Network Hardware Accelerator for Machine Learning Applications

IEEE internet of things journal, 2024-11, p.1-1

2024

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Enhancing Cloud-Based Video Streaming Efficiency using Neural Networks

2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2023, p.1-5

2023

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Utilizing Swarm Intelligence for Optimized Video Data Distribution in Edge Networks

2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024, p.1-6

2024

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Optimizing QoE in IoT-Based Video Streaming through Deep Learning Algorithms

2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2024, p.052-057

2024

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Optimizing Video Streaming Costs in the Cloud: A CNN Approach

2023 International Conference on Information Technology and Computing (ICITCOM), 2023, p.125-130

2023

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Enhancing Video Storage Efficiency in the Cloud: Machine Learning-Driven Optimization Strategies

2023 International Conference on Information Technology and Computing (ICITCOM), 2023, p.119-124

2023

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Hardware Security in the Internet of Things: A Survey

2023 IEEE 36th International System-on-Chip Conference (SOCC), 2023, p.1-6

2023

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Machine Learning-Based Approach for Hardware Faults Prediction

Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator

Economic LSTM Approach for Recurrent Neural Networks

Towards Privacy Preserving IoT Environments: A Survey

Reconfigurable Hardware Design Approach for Economic Neural Network

Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware

Dynamic Fault Tolerance Approach for Network-on-Chip Architecture

Fortifying Strong PUFs: A Modeling Attack-Resilient Approach Using Weak PUF for IoT Device Security

Smart Streaming: Deep Learning Applications in Video Streaming Optimization

A Novel 0.04 pJ/bit Dynamic TRNG using Bit Reconfigurable Ring Oscillators

A Survey on Hardware Security: Current Trends and Challenges

Low-Cost Hardware Design Approach for Long Short-Term Memory (LSTM)

A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease

Self-Healing Router Approach for High-Performance Network-on-Chip

A Survey on Neural Network Hardware Accelerators

Advancements in Perceptron Hardware for Efficient Implementation in Artificial Neural Network

Efficient Pseudo Random Number Generator (PRNG) Design on FPGA

Scalable Video Streaming Solutions Using Federated Learning

S2RNN: Self-Supervised Reconfigurable Neural Network Hardware Accelerator for Machine Learning Applications

Enhancing Cloud-Based Video Streaming Efficiency using Neural Networks

Utilizing Swarm Intelligence for Optimized Video Data Distribution in Edge Networks

Optimizing QoE in IoT-Based Video Streaming through Deep Learning Algorithms

Optimizing Video Streaming Costs in the Cloud: A CNN Approach

Enhancing Video Storage Efficiency in the Cloud: Machine Learning-Driven Optimization Strategies

Hardware Security in the Internet of Things: A Survey

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