Dynamic Spectrum Management for cognitive Wireless Sensor Networks

  • Unique Paper ID: 163900
  • Volume: 10
  • Issue: 11
  • PageNo: 2240-2253
  • Abstract:
  • Our research presents a novel "Recommender System for Personalized Health and Fitness Plans," aimed at enhancing individual well-being. Leveraging principles from recommendation systems and health informatics, our system provides tailored recommendations for diet, exercise, medication, and other healthcare services. Through extensive literature review and empirical analysis, we explore methodologies like collaborative filtering and content-based filtering to generate accurate recommendations. Findings reveal insights into user preferences and system limitations, contributing to personalized healthcare interventions and healthier lifestyles.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{163900,
        author = {Aaditya Prakash and Shashank Kumar Singh and Snehashis Samanta and Inakshi Garg},
        title = {Dynamic Spectrum Management for cognitive Wireless Sensor Networks },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2240-2253},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163900},
        abstract = {Our research presents a novel "Recommender System for Personalized Health and Fitness Plans," aimed at enhancing individual well-being. Leveraging principles from recommendation systems and health informatics, our system provides tailored recommendations for diet, exercise, medication, and other healthcare services. Through extensive literature review and empirical analysis, we explore methodologies like collaborative filtering and content-based filtering to generate accurate recommendations. Findings reveal insights into user preferences and system limitations, contributing to personalized healthcare interventions and healthier lifestyles.},
        keywords = {Recommender System, Personalized Health, Fitness Plans, Health Informatics, Collaborative Filtering, Content-Based Filtering, User Preferences, Health Behavior.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 11
  • PageNo: 2240-2253

Dynamic Spectrum Management for cognitive Wireless Sensor Networks

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