Tushar H Jaware

Employment

• R C Patel Institute of Technology Assistant Professor
  2005 - Present

Education

• Shri Sant Gajanan Maharaj College of Engineering PhD
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Enhancing Cardiovascular Disease Detection Through Exploratory Predictive Modeling Using DenseNet-Based Deep Learning
  Computers 2025 DOI: 10.3390/computers14080330
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• Lung CT Image Segmentation: A Convolutional Neural Network Approach
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-0739-4_37
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• A Comprehensive Study of Harmonic Pollution in Large Penetrated Grid-Connected Wind Farm
  Mapan - Journal of Metrology Society of India 2021 DOI: 10.1007/s12647-020-00407-z
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• A Comprising Study on Modernization of Electric Vehicle Subsystems, Challenges, Opportunities and strategies for its Further Development
  2021 International Conference on Nascent Technologies in Engineering, ICNET 2021 - Proceedings 2021 DOI: 10.1109/ICNTE51185.2021.9487757
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• Performance investigations of filtering methods for T1 and T2 weighted infant brain MR images
  Microsystem Technologies 2021 DOI: 10.1007/s00542-020-05144-6
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• Wind Energy System Grid Integration and Grid Code Requirements of Wind Energy System
  Green Energy and Technology 2021 DOI: 10.1007/978-3-030-64336-2_10
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• A novel hybrid atlas-free hierarchical graph-based segmentation of newborn brain MRI using wavelet filter banks
  International Journal of Neuroscience 2020 DOI: 10.1080/00207454.2019.1695609
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• An atlas-free newborn brain image segmentation and classification scheme based on SOM-DCNN with sparse auto encoder
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2020 DOI: 10.1080/21681163.2019.1573380
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• An Accurate Automated Local Similarity Factor-Based Neural Tree Approach toward Tissue Segmentation of Newborn Brain MRI
  American Journal of Perinatology 2019 DOI: 10.1055/s-0038-1675375
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• Automatic segmentation of brain MRI of newborn and premature infants using neural network
  Advances in Intelligent Systems and Computing 2017 DOI: 10.1007/978-981-10-1708-7_89
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