Scholarlink

This study focuses on leveraging hyperspectral imaging (HSI) as a cutting-edge technology for disease surveillance in sustainable medical environments, emphasizing its potential in early detection and control of outbreaks. It has a look at examines the software of hyperspectral imaging (HSI) for surveillance of ailment spread in sustainable scientific environments. The study will examine the ability of an HSI device to differentiate between healthy and infected subjects and monitor disease spread in real-time. The lengthy-time period purpose of the research is to broaden an HSI machine that may be applied to clinical environments for sustainable sickness monitoring and early prevention of outbreaks. The studies may also discover how HSI can be used to locate disorder outbreaks in remote locations and assist resources being allotted well-timed. The observation also aims to evaluate any such machine’s environmental, financial, and social feasibility. The overarching goal is to develop a clinically adaptable HSI system for real-time disease monitoring, outbreak prevention, and resource optimization.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Leveraging Gaussian Process Regression for Network Time Series Analysis

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Gopal Krishna,
  • Rajesh Singh,
  • Shashank Awasthi,
  • Manas Kumar Mishra,
  • Shivam Kumar,
  • Anita Gehlot,
  • Aashna Sinha

摘要

This study focuses on leveraging hyperspectral imaging (HSI) as a cutting-edge technology for disease surveillance in sustainable medical environments, emphasizing its potential in early detection and control of outbreaks. It has a look at examines the software of hyperspectral imaging (HSI) for surveillance of ailment spread in sustainable scientific environments. The study will examine the ability of an HSI device to differentiate between healthy and infected subjects and monitor disease spread in real-time. The lengthy-time period purpose of the research is to broaden an HSI machine that may be applied to clinical environments for sustainable sickness monitoring and early prevention of outbreaks. The studies may also discover how HSI can be used to locate disorder outbreaks in remote locations and assist resources being allotted well-timed. The observation also aims to evaluate any such machine’s environmental, financial, and social feasibility. The overarching goal is to develop a clinically adaptable HSI system for real-time disease monitoring, outbreak prevention, and resource optimization.