Sonali Singh

Orcid: 0000-0002-2706-2442

According to our database1, Sonali Singh authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel method of digital image encryption using graph theory.
Multim. Tools Appl., January, 2024

Supervisory-based quantised <i>hands-off</i> control for a class of uncertain systems with nonlinear sector.
Int. J. Syst. Sci., January, 2024

GPU Cluster Scheduling for Network-Sensitive Deep Learning.
CoRR, 2024

DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Design and Stability Analysis of Non-smooth Integral Sliding Surface for Coupled-Tank System with Matching/Non-matching Disturbance.
Proceedings of the Australian & New Zealand Control Conference, 2024

Robust H∞ Controller Design With Regional Pole-Placement for Quarter Car Active Suspension System.
Proceedings of the Australian & New Zealand Control Conference, 2024

2023
Security of medical images based on special orthogonal group and Galois field.
Multim. Tools Appl., November, 2023

Multi-Objective Ranking to Boost Navigational Suggestions in eCommerce AutoComplete.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Federated Learning with Spiking Neural Networks in Heterogeneous Systems.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023

Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A high capacity multi-image steganography technique based on golden ratio and non-subsampled contourlet transform.
Multim. Tools Appl., 2022

Analysis of Distributed Deep Learning in the Cloud.
CoRR, 2022

Machine Learning: Algorithms, Models, and Applications.
CoRR, 2022

Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction.
Expert Syst. Appl., 2021

Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs.
CoRR, 2021

6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates.
IEEE Access, 2021

A Technique for Securing Multiple Digital Images Based on 2D Linear Congruential Generator, Silver Ratio, and Galois Field.
IEEE Access, 2021

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

2020
Assessing Behavioral Patterns for Online Gaming Addiction: A Study Among Indian Youth.
Int. J. Cyber Behav. Psychol. Learn., 2020

An Analysis on Consumer Preference of Ayurvedic Products in Indian Market.
Int. J. Asian Bus. Inf. Manag., 2020

NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019
Low-Cost, Continuously Variable, Strain Wave Transmission Using Gecko-Inspired Adhesives.
IEEE Robotics Autom. Lett., 2019

2017
Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

Deep learning methods for unsupervised acoustic modeling - Leap submission to ZeroSpeech challenge 2017.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017


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