Arshdeep Singh

According to our database, Arshdeep Singh authored at least 35 papers between 2016 and 2024.

Collaborative distances:

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

2024

Facial emotion recognition and music recommendation system using CNN-based deep learning techniques.

Brijesh Bakariya, Arshdeep Singh, Harmanpreet Singh, Pankaj Raju, Rohit Rajpoot, Krishna Kumar Mohbey

Evol. Syst., April, 2024

The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection.

Gabriel Bibbó, Thomas Deacon, Arshdeep Singh, Mark D. Plumbley

CoRR, 2024

Impact of Transmission Dynamics and Treatment Uptake, Frequency and Timing on the Cost-effectiveness of Directly Acting Antivirals for Hepatitis C Virus Infection.

Soham Das, Ajit Sood, Vandana Midha, Arshdeep Singh, Pranjl Sharma, Varun Ramamohan

CoRR, 2024

Integrating IP Broadcasting with Audio Tags: Workflow and Challenges.

Rhys Burchett-Vass, Arshdeep Singh, Gabriel Bibbó, Mark D. Plumbley

CoRR, 2024

Investigating Passive Filter Pruning for Efficient CNN-Transformer Audio Captioning.

Xuenan Xu, Arshdeep Singh, Mengyue Wu, Wenwu Wang, Mark D. Plumbley

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Hand gestures recognition using edge computing system based on vision transformer and lightweight CNN.

Khushi Gupta, Arshdeep Singh, Sreenivasa Reddy Yeduri, M. B. Srinivas, Linga Reddy Cenkeramaddi

J. Ambient Intell. Humaniz. Comput., March, 2023

Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models.

Christopher Richardson, Yao Zhang, Kellen Gillespie, Sudipta Kar, Arshdeep Singh, Zeynab Raeesy, Omar Zia Khan, Abhinav Sethy

CoRR, 2023

Audio Tagging on an Embedded Hardware Platform.

Gabriel Bibbó, Arshdeep Singh, Mark D. Plumbley

CoRR, 2023

E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks.

Arshdeep Singh, Haohe Liu, Mark D. Plumbley

CoRR, 2023

Efficient CNNs via Passive Filter Pruning.

Arshdeep Singh, Mark D. Plumbley

CoRR, 2023

Compressing Audio CNNS with Graph Centrality Based Filter Pruning.

James A. King, Arshdeep Singh, Mark D. Plumbley

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Mining and Fusing Productivity Metrics with Code Quality Information at Scale.

Harsh Mukeshkumar Shah, Qurram Zaheer Syed, Bharatwaaj Shankaranarayanan, Indranil Palit, Arshdeep Singh, Kavya Raval, Kishan Savaliya, Tushar Sharma

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Efficient Similarity-Based Passive Filter Pruning for Compressing CNNS.

Arshdeep Singh, Mark D. Plumbley

Proceedings of the IEEE International Conference on Acoustics, 2023

A Review of Recent Developments and Challenges in the Selection of Design Parameters for Green Hydrogen Electric Vehicles.

Rajesh M. Pindoriya, Harshvardhan Golechha, Ankit Kumar, Vineet Ahuja, Anubhav Sharma, Arshdeep Singh, Sarthak Jain

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023

2022

FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks.

Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala

ACM Trans. Spatial Algorithms Syst., March, 2022

A survey and taxonomy of consensus protocols for blockchains.

Arshdeep Singh, Gulshan Kumar, Rahul Saha, Mauro Conti, Mamoun Alazab, Reji Thomas

J. Syst. Archit., 2022

Low-complexity CNNs for Acoustic Scene Classification.

Arshdeep Singh, James A. King, Xubo Liu, Wenwu Wang, Mark D. Plumbley

CoRR, 2022

Continual Learning For On-Device Environmental Sound Classification.

Yang Xiao, Xubo Liu, James A. King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang

CoRR, 2022

1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality.

Arshdeep Singh

CoRR, 2022

A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification.

Arshdeep Singh, Mark D. Plumbley

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Continual Learning for On-Ddevice Environmental Sound Classification.

Yang Xiao, Xubo Liu, James A. King, Arshdeep Singh, Eng Siong Chng, Mark D. Plumbley, Wenwu Wang

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Low-Complexity CNNs for Acoustic Scene Classification.

Arshdeep Singh, Mark D. Plumbley

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

PoSC: Combined Score for Consensus in Intemet-of-Things Applications.

Arshdeep Singh, Rahul Saha, Mauro Conti, Gulshan Kumar

Proceedings of the Fourth International Conference on Blockchain Computing and Applications, 2022

2021

Health Monitoring of Industrial machines using Scene-Aware Threshold Selection.

Arshdeep Singh, Raju Arvind, Padmanabhan Rajan

CoRR, 2021

Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan.

Vinay Arora, Eddie-Yin-Kwee Ng, Rohan Singh Leekha, Medhavi Darshan, Arshdeep Singh

Comput. Biol. Medicine, 2021

Finding High-Value Training Data Subset Through Differentiable Convex Programming.

Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya, Sourangshu Bhattacharya

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Batching and Matching for Food Delivery in Dynamic Road Networks.

Manas Joshi, Arshdeep Singh, Sayan Ranu, Amitabha Bagchi, Priyank Karia, Puneet Kala

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

SVD-based redundancy removal in 1-D CNNs for acoustic scene classification.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Pattern Recognit. Lett., 2020

2019

Embedded CNN based vehicle classification and counting in non-laned road traffic.

Mayank Singh Chauhan, Arshdeep Singh, Mansi Khemka, Arneish Prateek, Rijurekha Sen

Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, 2019

Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Multi-view Features from Raw Audio for Acoustic Scene Classification.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

Convex likelihood alignments for bioacoustic Classification.

Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

APE: Archetypal-Prototypal Embeddings for Audio Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the 26th European Signal Processing Conference, 2018

2016

Target Recognition in Infrared Imagery Using Convolutional Neural Network.

Aparna Akula, Arshdeep Singh, Ripul Ghosh, Satish Kumar, Harish Kumar Sardana

Proceedings of International Conference on Computer Vision and Image Processing, 2016