Results for 'Usharani Balasingam'

4 found
Order:
  1.  23
    Optimized Depth-Based Routing for Energy-Efficient Data Transmission in Underwater Wireless Sensor Networks.K. Usharani - 2024 - Journal of Science Technology and Research (JSTAR) 5 ( 1):623-628.
    Underwater Wireless Sensor Networks (UWSNs) are pivotal for various applications, including oceanographic data collection, environmental monitoring, and naval operations. However, the harsh underwater environment poses challenges in designing efficient routing protocols, especially concerning energy consumption and data transmission reliability. This paper proposes an optimized depth-based routing protocol for energy-aware data transmission in UWSNs, focusing on minimizing energy usage while ensuring robust data delivery. The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging (...)
    Download  
     
    Export citation  
     
    Bookmark  
  2.  28
    CAREER GUIDANCE APPLICATION FOR STUDENTS – AI ASSISTED.K. Usharani - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):609-619.
    The rapid advancement of artificial intelligence (AI) technologies has revolutionized various industries, including the realm of education and career guidance. This project endeavors to harness the power of AI to develop a sophisticated career guidance application that offers personalized and effective recommendations to students and job seekers. The primary objective of this project is to address the limitations of traditional career guidance methods, which often lack customization and fail to adapt to individual preferences, skills, and aspirations. Through the integration of (...)
    Download  
     
    Export citation  
     
    Bookmark  
  3.  21
    Deep Neural Networks for Real-Time Plant Disease Diagnosis and Productivity Optimization.K. Usharani - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):645-652.
    The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high accuracy. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  4. MRCT Center Post-Trial Responsibilities Framework Continued Access to Investigational Medicines. Guidance Document. Version 1.0, December 2016.Carmen Aldinger, Barbara Bierer, Rebecca Li, Luann Van Campen, Mark Barnes, Eileen Bedell, Amanda Brown-Inz, Robin Gibbs, Deborah Henderson, Christopher Kabacinski, Laurie Letvak, Susan Manoff, Ignacio Mastroleo, Ellie Okada, Usharani Pingali, Wasana Prasitsuebsai, Hans Spiegel, Daniel Wang, Susan Briggs Watson & Marc Wilenzik - 2016 - The Multi-Regional Clinical Trials Center of the Brigham and Women’s Hospital and Harvard (MRCT Center).
    I. EXECUTIVE SUMMARY The MRCT Center Post-trial Responsibilities: Continued Access to an Investigational Medicine Framework outlines a case-based, principled, stakeholder approach to evaluate and guide ethical responsibilities to provide continued access to an investigational medicine at the conclusion of a patient’s participation in a clinical trial. The Post-trial Responsibilities (PTR) Framework includes this Guidance Document as well as the accompanying Toolkit. A 41-member international multi-stakeholder Workgroup convened by the Multi-Regional Clinical Trials Center of Brigham and Women’s Hospital and Harvard University (...)
    Download  
     
    Export citation  
     
    Bookmark