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Construction and analysis of the protein-protein interaction networks based on gene expression profiles of Parkinson's disease

PloS one, 2014-08, Vol.9 (8), p.e103047-e103047

2014

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DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization

IEEE transaction on neural networks and learning systems, 2023-06, Vol.34 (6), p.3174-3182

2023

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DIET-SNN: A Low-Latency Spiking Neural Network With D irect I nput E ncoding and Leakage and T hreshold Optimization

IEEE transaction on neural networks and learning systems, 2023-06, Vol.34 (6), p.3174-3182

2023

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Impact of process-variations in STTRAM and adaptive boosting for robustness

2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015, p.1431-1436

2015

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LITE-SNN: Leveraging Inherent Dynamics to Train Energy-Efficient Spiking Neural Networks for Sequential Learning

IEEE transactions on cognitive and developmental systems, 2024-05, p.1-10

2024

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STDP-Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition

IEEE transactions on computer-aided design of integrated circuits and systems, 2019-04, Vol.38 (4), p.668-677

2019

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LITE-SNN: L everaging I nherent Dynamics to T rain E nergy-Efficient S piking N eural N etworks for Sequential Learning

IEEE transactions on cognitive and developmental systems, 2024, p.1-10

2024

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Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware

ACM computing surveys, 2023-12, Vol.55 (12), p.1-49, Article 243

2023

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Epigenetic Drug Repositioning for Alzheimer's Disease Based on Epigenetic Targets in Human Interactome

Journal of Alzheimer's disease, 2018-01, Vol.61 (1), p.53

2018

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Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning

Computer Vision – ECCV 2022, 2022, p.709-726

2022

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STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks

IEEE transactions on emerging topics in computational intelligence, 2021-02, Vol.5 (1), p.143-153

2021

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Training Methodologies for Energy-Efficient, Low Latency Spiking Neural Networks

Rathi, Nitin

2021

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Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations

Computer Vision - ECCV 2020, 2020, Vol.12374, p.399-414

2020

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Efficiency attacks on spiking neural networks

Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022, p.373-378

2022

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Cache Bypassing and Checkpointing to Circumvent Data Security Attacks on STTRAM

IEEE transactions on emerging topics in computing, 2019-04, Vol.7 (2), p.262-270

2019

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Impact of process-variations in STTRAM and adaptive boosting for robustness

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015, p.1431-1436

2015

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IMPULSE: A 65-nm Digital Compute-in-Memory Macro With Fused Weights and Membrane Potential for Spike-Based Sequential Learning Tasks

IEEE solid-state circuits letters, 2021, Vol.4, p.137-140

2021

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Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives

2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, p.902-907

2021

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Advancements in Urban Environmental Studies: Application of Geospatial Technology and Artificial Intelligence in Urban Studies

1, 2023

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Side channel attacks on STTRAM and low-overhead countermeasures

2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2016, p.141-146

2016

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Treatment under DOTS

Journal of communicable diseases, 2011-06, Vol.43 (2), p.113

2011

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Unusual manifestations in dengue outbreak 2009, Delhi, India

Journal of communicable diseases, 2010-12, Vol.42 (4), p.255

2010

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Data privacy in non-volatile cache: Challenges, attack models and solutions

2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 2016, p.348-353

2016

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Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach

International Conference on Neuromorphic Systems 2021, 2021, p.1-8

2021

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Identifying the Flood Hazard Zones in Urban Area Using Flood Hazard Index (FHI)—A Case of Capital City of India

Advancements in Urban Environmental Studies, p.341-357

Volltextzugriff (PDF)

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Construction and analysis of the protein-protein interaction networks based on gene expression profiles of Parkinson's disease

DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization

DIET-SNN: A Low-Latency Spiking Neural Network With D irect I nput E ncoding and Leakage and T hreshold Optimization

Impact of process-variations in STTRAM and adaptive boosting for robustness

LITE-SNN: Leveraging Inherent Dynamics to Train Energy-Efficient Spiking Neural Networks for Sequential Learning

STDP-Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition

LITE-SNN: L everaging I nherent Dynamics to T rain E nergy-Efficient S piking N eural N etworks for Sequential Learning

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware

Epigenetic Drug Repositioning for Alzheimer's Disease Based on Epigenetic Targets in Human Interactome

Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning

STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks

Training Methodologies for Energy-Efficient, Low Latency Spiking Neural Networks

Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations

Efficiency attacks on spiking neural networks

Cache Bypassing and Checkpointing to Circumvent Data Security Attacks on STTRAM

Impact of process-variations in STTRAM and adaptive boosting for robustness

IMPULSE: A 65-nm Digital Compute-in-Memory Macro With Fused Weights and Membrane Potential for Spike-Based Sequential Learning Tasks

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives

Advancements in Urban Environmental Studies: Application of Geospatial Technology and Artificial Intelligence in Urban Studies

Side channel attacks on STTRAM and low-overhead countermeasures

Treatment under DOTS

Unusual manifestations in dengue outbreak 2009, Delhi, India

Data privacy in non-volatile cache: Challenges, attack models and solutions

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach

Identifying the Flood Hazard Zones in Urban Area Using Flood Hazard Index (FHI)—A Case of Capital City of India

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