Shaista Hussain

According to our database, Shaista Hussain authored at least 18 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning.

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

Sensors, 2022

2021

Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks.

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

IEEE Access, 2021

Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries.

Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

IEEE Access, 2021

2020

High-content image generation for drug discovery using generative adversarial networks.

Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal

Neural Networks, 2020

Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression.

Pham Luu Trung Duong, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan

IEEE Access, 2020

2019

DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells.

Shaista Hussain, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Arun Kumar, Graham Wright, Amit Singhal

Proceedings of the TENCON 2019, 2019

Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation.

Ankit Das, Shaista Hussain, Feng Yang, Mohamed Salahuddin Habibullah, Arun Kumar

Proceedings of the TENCON 2019, 2019

2016

Learning Spike Time Codes Through Morphological Learning With Binary Synapses.

Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu

IEEE Trans. Neural Networks Learn. Syst., 2016

An Investigation of Power-Performance Aware Accelerator/Core Allocation Challenges in Dark Silicon Heterogeneous Systems.

Pranshu Kalra, Shaista Hussain, Nitin Chaturvedi

Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016

Morphological learning in multicompartment neuron model with binary synapses.

Shaista Hussain, Arindam Basu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015

Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites.

Shaista Hussain, Shih-Chii Liu, Arindam Basu

Neural Comput., 2015

2014

Delay learning architectures for memory and classification.

Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton

Neurocomputing, 2014

Improved margin multi-class classification using dendritic neurons with morphological learning.

Shaista Hussain, Shih-Chii Liu, Arindam Basu

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites.

Phyo Phyo San, Shaista Hussain, Arindam Basu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration.

Shaista Hussain, Roshan Gopalakrishnan, Arindam Basu, Shih-Chii Liu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Computation using mismatch: Neuromorphic extreme learning machines.

Enyi Yao, Shaista Hussain, Arindam Basu, Guang-Bin Huang

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines.

Subhrajit Roy, Arindam Basu, Shaista Hussain

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012

DELTRON: Neuromorphic architectures for delay based learning.

Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2012