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ORCIDAakash Patil
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2020 – today
- 2023
[b1]Aakash Patil:
Deep Learning-Assisted Modelling of Turbulence in Fluids. (Modélisation de la turbulence dans les fluides assistée par l'apprentissage profond). PSL University, Paris, France, 2023- 2021
- [c5]Vivek Saraswat
, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly:
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. IJCNN 2021: 1-8 - [i3]Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly:
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. CoRR abs/2104.14264 (2021) - 2020
- [j4]Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu:
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(3): 913-926 (2020)
2010 – 2019
- 2019
- [j3]Yi Chen, Zheng Wang, Aakash Patil, Arindam Basu:
A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internet-of-Things Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(6): 2240-2252 (2019) - [c4]Yi Chen, Zheng Wang, Aakash Patil, Arindam Basu:
A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application. ISCAS 2019: 1-4 - [i2]Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu:
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. CoRR abs/1912.01853 (2019) - 2018
- [j2]Zheng Wang, Yi Chen, Aakash Patil, Jayasanker Jayabalan, Xueyong Zhang, Chip-Hong Chang, Arindam Basu:
Current Mirror Array: A Novel Circuit Topology for Combining Physical Unclonable Function and Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(4): 1314-1326 (2018) - [c3]Vignesh Mahalingam Suresh, Rishi Sidhu, Prateek Karkare, Aakash Patil, Lei Zhang, Arindam Basu:
Powering the IoT through embedded machine learning and LoRa. WF-IoT 2018: 349-354 - 2017
- [j1]Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition. Neurocomputing 261: 193-203 (2017) - [c2]Zheng Wang, Yi Chen, Aakash Patil, Chip-Hong Chang, Arindam Basu:
Current mirror array: A novel lightweight strong PUF topology with enhanced reliability. ISCAS 2017: 1-4 - 2015
- [c1]Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Random projection for spike sorting: Decoding neural signals the neural network way. BioCAS 2015: 1-4 - [i1]Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Hardware Architecture for Large Parallel Array of Random Feature Extractors applied to Image Recognition. CoRR abs/1512.07783 (2015)
Coauthor Index
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