Pallavi Kulkarni

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Active learning for improved semi-supervised semantic segmentation in echocardiography
  Information and Communication Systems 2026 DOI: 10.1201/9781003650201-4
  +Save
• Fuzzy Graph-Based Financial Network Analysis for Risk Assessment, Portfolio Optimization, and Decision Support
  Journal of Intelligent Decision Making and Information Science 2026 DOI: 10.59543/jidmis.v3.646
  +Save
• Computer Vision-Based Weed-Killing Rover
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-97-8329-8_55
  +Save
• Deep-feed: An Internet of things-enabled smart feeding system for pets powered by deep learning
  Iaes International Journal of Robotics and Automation 2025 DOI: 10.11591/ijra.v14i2.pp227-236
  +Save
• Human sentiment analytics using multi-model deep learning approach
  Iaes International Journal of Artificial Intelligence 2025 DOI: 10.11591/ijai.v14.i4.pp3241-3252
  +Save
• Enlighten GAN for Super-Resolution Images from Surveillance Car
  Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst 2024 DOI: 10.1007/978-3-031-48888-7_37
  +Save
• Semantic Segmentation of Rooftop Photovoltaic Panel from Satellite and Aerial Images using Deep Learning
  2024 4th Asian Conference on Innovation in Technology Asiancon 2024 2024 DOI: 10.1109/ASIANCON62057.2024.10837886
  +Save
• Use of Improved Generative Adversarial Network (GAN) Under Insufficient Data
  Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst 2024 DOI: 10.1007/978-3-031-48888-7_24
  +Save
• SEMI-SUPERVISED GAN FOR MEDICAL IMAGE SEGMENTATION
  Arpn Journal of Engineering and Applied Sciences 2023 DOI: 10.59018/1123305
  +Save
• Adaptive Thresholding Method for Speckle Reduction of Echocardiographic Images
  IETE Journal of Research 2022 DOI: 10.1080/03772063.2019.1634494
  +Save