Tarun Kumar

Employment

• Swami Vivekanand Subharti University, Meerut Associate professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Urban Land Cover Classification of Multispectral Satellite Images Using Artificial Neural Networks
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-99-9043-6_30
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• Detecting emotion change instant in speech signal using spectral patterns in pitch coherent single frequency filtering spectrogram
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2023.120882
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• Landcover Classification of VHRS Imagery Using Support Vector Machine
  2023 International Conference on Sustainable Communication Networks and Application (ICSCNA) 2023 DOI: 10.1109/icscna58489.2023.10370613
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• A novel approach to detect instant emotion change through spectral variation in single frequency filtering spectrogram of each pitch cycle
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-022-13731-0
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• Fusing traditionally extracted features with deep learned features from the speech spectrogram for anger and stress detection using convolution neural network
  Multimedia Tools and Applications 2022 DOI: 10.1007/s11042-022-12886-0
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• Copy-move image forgery detection using cuckoo search
  International Journal of Advanced Intelligence Paradigms 2022 DOI: 10.1504/ijaip.2022.126696
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• The recognition of latent fingerprints using swarm intelligence based hybrid approach
  Int J Emerg Technol 2020
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• Demonetization(500&1000):Analysis of Sentiments using NLTK Withtwitter for Text and Image
  2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE) 2018 DOI: 10.1109/icrieece44171.2018.9008958
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• Email Spam Detection Using Integrated Approach of Naïve Bayes and Particle Swarm Optimization
  2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) 2018 DOI: 10.1109/iccons.2018.8662957
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• Towards recent developments in the field of digital image forgery detection
  International Journal of Computer Applications in Technology 2018 DOI: 10.1504/ijcat.2018.094064
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