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ORCIDShaista Hussain
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2020 – today
- 2022
[j8]Karkulali Pugalenthi
, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan:
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning. Sensors 22(10): 3803 (2022)- 2021
- [j7]Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan:
Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries. IEEE Access 9: 135132-135143 (2021) - [j6]Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan:
Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks. IEEE Access 9: 167292-167304 (2021) - 2020
- [j5]Pham Luu Trung Duong, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan:
Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression. IEEE Access 8: 222256-222266 (2020) - [j4]Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal:
High-content image generation for drug discovery using generative adversarial networks. Neural Networks 132: 353-363 (2020)
2010 – 2019
- 2019
- [c10]Shaista Hussain, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Arun Kumar, Graham Wright, Amit Singhal:
DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells. TENCON 2019: 796-801 - [c9]Ankit Das, Shaista Hussain, Feng Yang, Mohamed Salahuddin Habibullah, Arun Kumar:
Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation. TENCON 2019: 2093-2098 - 2016
- [j3]Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu:
Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1572-1577 (2016) - [c8]Shaista Hussain, Arindam Basu:
Morphological learning in multicompartment neuron model with binary synapses. ISCAS 2016: 2527-2530 - [c7]Pranshu Kalra, Shaista Hussain, Nitin Chaturvedi:
An Investigation of Power-Performance Aware Accelerator/Core Allocation Challenges in Dark Silicon Heterogeneous Systems. iNIS 2016: 52-55 - 2015
- [j2]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites. Neural Comput. 27(4): 845-897 (2015) - [i3]Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu:
Learning Spike time codes through Morphological Learning with Binary Synapses. CoRR abs/1506.05212 (2015) - 2014
- [j1]Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton:
Delay learning architectures for memory and classification. Neurocomputing 138: 14-26 (2014) - [c6]Phyo Phyo San, Shaista Hussain, Arindam Basu:
Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites. IJCNN 2014: 3192-3196 - [c5]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Improved margin multi-class classification using dendritic neurons with morphological learning. ISCAS 2014: 2640-2643 - [i2]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites. CoRR abs/1411.5881 (2014) - 2013
- [c4]Enyi Yao, Shaista Hussain, Arindam Basu, Guang-Bin Huang:
Computation using mismatch: Neuromorphic extreme learning machines. BioCAS 2013: 294-297 - [c3]Subhrajit Roy, Arindam Basu, Shaista Hussain:
Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines. BioCAS 2013: 302-305 - [c2]Shaista Hussain, Roshan Gopalakrishnan, Arindam Basu, Shih-Chii Liu:
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration. IJCNN 2013: 1-7 - [i1]Shaista Hussain, Arindam Basu, Runchun Wang, Tara Julia Hamilton:
Delay Learning Architectures for Memory and Classification. CoRR abs/1311.1294 (2013) - 2012
- [c1]Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton:
DELTRON: Neuromorphic architectures for delay based learning. APCCAS 2012: 304-307
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