Sujan Chowdhury

Orcid: 0000-0003-4835-8311

According to our database1, Sujan Chowdhury authored at least 14 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Design of an automatic gain control loop for high speed communication.
Int. J. Circuit Theory Appl., January, 2023

A 60 GHz and 2.08 mW Active Quasi-Circulator in 22 nm FDSOI Technology.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Design of a Low-Power High-Gain Bulk-Driven Operational Transconductance Amplifier in 90 nm CMOS Process.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2021
A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things.
ACM Trans. Internet Things, 2021

2019
IoT Insider Attack - Survey.
Proceedings of the Smart Grid and Internet of Things - Third EAI International Conference, 2019

2018
Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation.
Expert Syst. Appl., 2018

2016
Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Spatially Constrained Location Prior for scene parsing.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Position Gradient and Plane Consistency Based Feature Extraction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
A novel texture feature based multiple classifier technique for roadside vegetation classification.
Expert Syst. Appl., 2015

Pixel characteristics based feature extraction approach for roadside object detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
A Novel Hybrid Learning Technique for Roadside Vegetation Classification.
Aust. J. Intell. Inf. Process. Syst., 2014

Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014


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