Priyankar Choudhary

Orcid: 0000-0003-2688-7415

According to our database1, Priyankar Choudhary authored at least 11 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A highly robust deep learning technique for overlap detection using audio fingerprinting.
Multim. Tools Appl., March, 2024

2023
A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity Recognition.
ACM Comput. Surv., November, 2023

2022
An audio-seismic dataset for human activity recognition.
Dataset, August, 2022

Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets.
CoRR, 2022

Cattle Collar: An End-to-End Multi-Model Framework for Cattle Monitoring.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Low-Intensity Human Activity Recognition Framework Using Audio Data in an Outdoor Environment.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

An Experimental Study of the Concept Drift Challenge in Farm Intrusion Detection using Audio.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
A Seismic Sensor based Human Activity Recognition Framework using Deep Learning.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020
Event Detection and Localization for Sparsely Populated Outdoor Environment Using Seismic Sensor.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019
A Multimedia Based Movie Style Model.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

2017
A Particle Swarm Optimization Approach to Multi Criteria Recommender System Utilizing Effective Similarity Measures.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017


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