Paper Title
Brain-Inspired Interpretation (Heart Disease)
Article Identifiers
Authors
Ansh srivastava , Ashutosh Sharma , Charu Goel , Khushboo Saxena
Keywords
Heart Disease classification
Abstract
The Brain-Inspired Interpretation project represents a cutting-edge interdisciplinary endeavour that bridges the realms of neuroscience and remote sensing technology. This innovative research seeks to revolutionise the field of remote sensing interpretation by drawing inspiration from the complex information processing capabilities of the human brain. By harnessing the principles of neural networks and cognitive science, this project aims to develop advanced algorithms and models capable of interpreting remote sensing data with unprecedented accuracy and efficiency. Unlike traditional methods, which rely on predetermined rules and patterns, the brain inspired approach adapts and learns from data, allowing for real time adjustments and improved adaptability in complex environmental scenarios. The implications of this project extend across various domains, including environmental monitoring, disaster management, agriculture, and urban planning. Ultimately, the integration of brain-inspired techniques into remote sensing interpretation promises to unlock new frontiers in our ability to understand and respond to the dynamic changes occurring in our world, paving the way for more informed decision making and sustainable resource management.
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How To Cite (APA)
Ansh srivastava, Ashutosh Sharma, Charu Goel, & Khushboo Saxena (April-2024). Brain-Inspired Interpretation (Heart Disease). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g301-g305. https://ijnrd.org/papers/IJNRD2404634.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : g301-g305
Other Publication Details
Paper Reg. ID: IJNRD_218515
Published Paper Id: IJNRD2404634
Downloads: 000121978
Research Area: Engineering
Country: Ghaziabad , Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404634.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404634
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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