Manu Singh

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Publications (16)

• A comprehensive hybrid model: Combining bioinspired optimization and deep learning for Alzheimer's disease identification
  Computers in Biology and Medicine 2025 4 citations DOI: 10.1016/j.compbiomed.2025.110654
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• Schema Understandability: A Comprehensive Empirical Study of Requirements Metrics
  Information 2025 1 citation DOI: 10.3390/info16020155
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• A novel metric for assessing structural complexity of data warehouse requirements models
  Expert Systems with Applications 2024 7 citations DOI: 10.1016/j.eswa.2024.124754
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• Detection and classification of brain tumor using hybrid feature extraction technique
  Multimedia Tools and Applications 2023 17 citations DOI: 10.1007/s11042-022-14088-0
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• Enhanced 3D U-Net Segmentation Architecture for the Detection and Localization of Brain Tumor
  2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) 2023
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• The Special Session Title ‘Intelligent Computing in Healthcare’ Dual Classification Framework for the Detection of Brain Tumor
  Lecture Notes in Computational Vision and Biomechanics 2023 0 citations DOI: 10.1007/978-981-19-0151-5_17
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• Classification of Brain Tumor using Hybrid Deep Learning Approach
  BRAIN. Broad Research in Artificial Intelligence and Neuroscience 2022 9 citations DOI: 10.18662/brain/13.2/345
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• The Special Session Title ‘Intelligent Computing in Healthcare’ Dual Classification Framework for the Detection of Brain Tumor
  In Artificial Intelligence on Medical Data, Springer, Singapore 2021
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• Two-level Combined Classification Technique using Ranklet Transformation for the Detection of MRI Brain Tumor
  2020 IEEE 17th India Council International Conference, INDICON 2020 2020 5 citations DOI: 10.1109/INDICON49873.2020.9342336
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• Exploring statistical parameters of machine learning techniques for detection and classification of brain tumor
  International Journal of Innovative Technology and Exploring Engineering 2019 3 citations DOI: 10.35940/ijitee.J9860.0881019
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