Shantilata Palei

About

Shantilata Palei is a Ph.D. scholar in the Department of Computer Science and Engineering at IIIT Bhubaneswar, Odisha, India. She received her M.Tech (2022) and B.Tech (2020) degrees in Computer Science and Engineering from VSSUT, Burla, Sambalpur, Odisha. Her research interests include Machine Learning, Deep Learning, Image Processing, and Metaheuristic Algorithms with applications in Smart Agriculture. She is a student member of IEEE and has published her research in reputed IEEE, Elsevier, and Springer conferences, book chapters, and journals.

Employment

• International Institute of Information Technology Research Scholar
  2022 - Present

Education

• Veer Surendra Sai University of Technology B.Tech
• Veer Surendra Sai University of Technology M.Tech
• International Institute of Information Technology Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Metaheuristic-Integrated DensoMobileForestNet for Apple Leaf Disease Identification
  Applied Fruit Science 2025 DOI: 10.1007/s10341-025-01384-w
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• Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna
  2025 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE) 2025 DOI: 10.1109/icmoce64100.2025.11076776
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• Optimizing Crop Selection using Deep Machine Learning Approaches
  2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2025 DOI: 10.1109/iatmsi64286.2025.10985118
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• Regression, classification, and clustering algorithms
  Artificial Intelligence in e-Health Framework, Volume 1 2025 DOI: 10.1016/b978-0-443-13816-4.00002-4
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• Remote health monitoring using artificial intelligence
  Artificial Intelligence in e-Health Framework, Volume 1 2025 DOI: 10.1016/b978-0-443-13816-4.00008-5
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• Cutting-edge approaches to plant disease detection: a survey of machine learning models and optimization methods
  Journal of Ambient Intelligence and Humanized Computing 2025 DOI: 10.1007/s12652-025-05000-3
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• Drug Recommendation System for Cancer Patients Using XAI: A Traceability Perspective
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-58174-8_24
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• Synthesis of Glioblastoma Segmentation Data Using Generative Adversarial Network
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-58174-8_26
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• Multiomics studies for neuro-oncology
  Radiomics and Radiogenomics in Neuro-Oncology 2024 DOI: 10.1016/b978-0-443-18508-3.00003-6
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• Genomic and genetic levels alteration in brain tumor
  Radiomics and Radiogenomics in Neuro-Oncology 2024 DOI: 10.1016/b978-0-443-18508-3.00006-1
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