Dr Ashish Kumar Chakraverti

Employment

• Sharda University School of Engineering and Technology Associate Professor
  2021 - Present

Education

• Punjab Technical University PhD
  2014 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Hybrid dense net 201 with CBPN based image pixel enhancement and optimized ADBGAN for image copy-move forgery detection
  Signal, Image and Video Processing 2025 DOI: 10.1007/s11760-025-03972-5
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• De-noising the image using DBST-LCM-CLAHE: A deep learning approach
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-16016-2
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• IoT and AI-based Intelligent Agriculture Framework for Crop Prediction
  International Journal of Sensors, Wireless Communications and Control 2023 DOI: 10.2174/2210327913666230509144225
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• A Review on Automatic Plant Species Recognition System by Leaf Image Using Machine Learning in Indian Ecological System
  Artificial Intelligence and Natural Algorithms 2022 DOI: 10.2174/9789815036091122010010
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• An Experimental Analysis of Various Machine Learning Algorithms for Hand Gesture Recognition
  Electronics 2022 DOI: 10.3390/electronics11060968
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• A Review On Deep Learning Techniques For Image Forgery Detection
  3rd IEEE 2022 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022 2022 DOI: 10.1109/ICCCIS56430.2022.10037746
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• Brain Computer Interface using hybrid adaptive filtering and Higher order Crossing Analysis based on Modified DNN
  Research Square 2022 DOI: 10.21203/rs.3.rs-1532045/v1
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• Human Fall Detection Analysis with Image Recognition Using Convolutional Neural Network Approach
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-8826-3_9
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• Secure Data Sharing of Electronic Health Record (EHR) on the Cloud Using Blockchain in Covid-19 Scenario
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-8826-3_15
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• A Review on Deep Learning Algorithms for Image Processing in Gaming and Animations
  Deep Learning in Gaming and Animations 2021 DOI: 10.1201/9781003231530-5
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