Now showing items 1-7 of 7

    • Accurate Estimation of LeafWetness Duration using Deep Learning Based Time-Resolution Technique 

      Patel, Mayank I. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Plant diseases are one of the leading causes of loss of crops. Monitoring the plant growth conditions could help prevent the spread of diseases and ensure healthy agricultural productivity. A leaf wetness sensor (LWS) is ...
    • Image Captioning Using Visual And Semantic Attention Mechanism 

      Patel, Abhikumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Image captioning is a method of generating captions/descriptions for the image. Image captioning have many applications in various fields like image indexing for content based image retrieval, Self-driving car, for visually ...
    • Image Super Resolution Using Deep Neural Networks 

      Singh, Harsh Vardhan (2021)
      The recent outbreak of COVID-19 has motivated researchers to contribute in the area of medical imaging using artificial intelligence and deep learning. Superresolution (SR), in the past few years, has produced remarkable ...
    • Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed Architecture 

      Nagar, Subham (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Deep neural networks have gained a lot of prominence over the past years by achieving great results in most of the prediction tasks. This paved way for convolutional neural networks for solving problems in the field of ...
    • Orthogonal Transform based Generative Adversarial Network for Image Dehazing 

      Sanathra, Mantra H. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Image dehazing has become one of the crucial preprocessing steps for any computer vision task. Most dehazing methods work in the image domain, and the dehazed image is obtained by estimating the transmission map along with ...
    • Sensors-based prediction of plant diseases using neural network 

      Kumar, Manish (2020)
      Plant diseases could cause a loss to agricultural production and the economy; hence there is a need to develop prediction models for fast plant disease detection and assessment methods. These methods must not affect plant ...
    • Video Object Detection and Identification in Dynamic Environment 

      Shah, Mahir Manishbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Object Detection and Identification in the field of computer vision is widely regarded as one of the most difficult problems in computer science. Yet it is one of the most rising topics in recent years due to the advancement ...