Enhancing Deep Learning-Based Human Detection in Flooded Areas Via Dynamic Lighting-Adaptive Image Enhancement
Authors
Pallavi Nehete
Department of Computer Science and Engineering, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Lavale, Pune, India
Department of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, India
Anupkumar Bongale
Department of Artificial Intelligence and Machine Learning, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Lavale, Pune, India
Shrinivas Shrikande
Department of Computer Science and Engineering, S. B. Patil College of Engineering, Indapur, India
Pallavi Mulmule
Department of Electronics and Communication Engineering, School of Engineering and Technology, DES Pune University, Pune, India
Deepak Dharrao
Department of Computer Science and Engineering, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Lavale, Pune, India
DOI: https://doi.org/10.2478/ijssis-2026-0039 | Journal eISSN: 1178-5608
Language: English
Submitted on: Aug 4, 2025
Published on: Jul 11, 2026
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2026 Pallavi Nehete, Anupkumar Bongale, Shrinivas Shrikande, Pallavi Mulmule, Deepak Dharrao, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.