Browsing M Tech Dissertations by Subject "Convolutional neural network"

Now showing items 1-6 of 6

    • Analytical study of color spaces for object recognition in convolutional neural networks 

      Oza, Urvi (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      In this work we present an analytical study of the classical problem of image recognition / classification using different color spaces and deep convolutional neural networks(CNNs). In the current decade deep CNN architectures ...

    • Environmental Sound Classification (ESC) using Handcrafted and Learned Features 

      Agrawal, Dharmeshkumar Maheshchandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "Environmental Sound Classification (ESC) is an important research field due to its application in various field such as hearing aids, road surveillance system for security and safety purpose, etc. ESC task was earlier ...

    • Human Activity Recognition using Two-stream Attention Based Bi-LSTM Networks 

      Bhandarkar, Vaidehi (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Human Activity Recognition (HAR) is a challenging task that aims to identify theactions of humans from various data sources. Recently, deep learning methodshave been applied to HAR using RGB (Red, Green and Blue) videos, ...

    • Location aware tumor segmentation on `MRI images 

      Jadiya, Kevin (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In our research, we introduce an innovative approach to the segmentation of braintumors, utilizing a convolutional neural network (CNN) architecture that incorporateslocalization awareness. This approach represents a ...

    • Object Recognition using Self Learned Features 

      Parikh, Ketul D. (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      A great deal of research has been centered around developing algorithms forlearning features from unlabelled information. Much advance has been made onbenchmark datasets by utilizing progressively complex unsupervised ...

    • Quantile Regression and Deep Learning Models for Air Quality Analysis and Prediction in Delhi City 

      Jha, Gaurav (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Quantile regression models have gained popularity among researchers these days.The mean regression model estimates the mean of yi given x. But in some applications,estimation of the quantiles of yi given x is not very ...