Sanjay Sanamdikar

Employment

Employment history is unavailable.

Education

• Shri Guru Gobind Singhji Institute of Engineering and Technology ME
  1999 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Optimizing the Remote Cardiac Diagnosis of ECG Devices Linked to the Cloud
  2026 DOI: 10.1007/978-3-032-20735-7_21
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• A Machine Learning-Driven Energy Management Architecture with Quantum Acceleration for Large-Scale Sensor Deployments
  2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL) 2026 DOI: 10.1109/icsadl67539.2026.11451977
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• Enhancement of engine life in biodiesel-fueled systems through feedback mechanisms
  International Journal of Energy and Water Resources 2025 DOI: 10.1007/s42108-025-00409-0
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• Design and Analysis of Automated Solar Panel Cleaning System
  Current World Environment 2024 DOI: 10.12944/CWE.18.3.11
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• Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network
  Computer Systems Science and Engineering 2023 DOI: 10.32604/csse.2023.026254
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• DDGAN: Deep Dense Generative Adversarial Networks for Improvement in Arrhythmia Classification
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-7874-6_52
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• Classification of ECG Signal for Cardiac Arrhythmia Detection Using GAN Method
  Lecture Notes on Data Engineering and Communications Technologies 2023 DOI: 10.1007/978-981-19-1844-5_21
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• DDGAN: Deep Dense Generative Adversarial Networks for Improvement in Arrhythmia Classification
  Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. 2023
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• Recognition and Evaluation of Heart Arrhythmias via a General Sparse Neural Network
  International Journal on Recent and Innovation Trends in Computing and Communication 2023 DOI: 10.17762/ijritcc.v11i10s.7646
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• Enhanced Classification of Diabetic Retinopathy via Vessel Segmentation: A Deep Ensemble Learning Approach
  Ingénierie des systèmes d information 2023 DOI: 10.18280/isi.280526
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