0000-0002-6520-0025 Pawar

Employment

• University Institute of Technology, RGPV Dr Mahesh Pawar
  2007 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (28)

• Denoising multispectral images using non-local rank tensor decomposition and bilateral filtering based on sunflower optimization
  Imaging Science Journal 2025 DOI: 10.1080/13682199.2024.2344900
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• Solvothermal single-pot synthesis of Pd-Fe3O4@GO catalyst: Enhanced catalytic performance in Sonogashira coupling reactions
  Applied Organometallic Chemistry 2024 DOI: 10.1002/AOC.7405
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• A Comprehensive Review of Brain Tumour Detection Mechanisms
  The Computer Journal 2023 DOI: 10.1093/COMJNL/BXAD047
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• Accurate Detection of Brain Tumor Using Compound Filter and Deep Neural Network
  Communications in Computer and Information Science 2023 DOI: 10.1007/978-3-031-28540-0_8
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• Accurate detection of brain tumor using optimized feature selection based on deep learning techniques
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-15239-7
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• An Optimized Deep Fusion Convolutional Neural Network-Based Digital Color Image Watermarking Scheme for Copyright Protection
  Circuits, Systems, and Signal Processing 2023 DOI: 10.1007/s00034-023-02299-1
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• Efficient Image Watermarking Using Particle Swarm Optimization and Convolutional Neural Network
  Cognitive Science and Technology 2023 DOI: 10.1007/978-981-19-8086-2_14
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• Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss function
  Computers and Electrical Engineering 2023 DOI: 10.1016/j.compeleceng.2022.108479
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• Innovative brain tumor detection using optimized deep learning techniques
  International Journal of System Assurance Engineering and Management 2023 DOI: 10.1007/s13198-022-01819-7
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• Internet of Everything-Based Advanced Big Data Journey for the Medical Industry
  IoT in Healthcare Systems: Applications, Benefits, Challenges, and Case Studies 2023 DOI: 10.1201/9781003145035-3
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