Now showing items 1-20 of 923

    • Privacy-Preserving Iris Based Authentication System 

      Agrawal, Radha (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Biometric authentication systems have gained immense popularity due to theirability to provide secure and convenient authentication. However, the leakageof sensitive biometric data can compromise an individual�s privacy ...
    • Shadow Detection and Removal from video using Deep Learning 

      Dodiya, Krutika (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The removal of shadow from images is crucial in computer vision as it can enhancethe interpretability and visual quality of images. This research work proposesa cascade U-Net architecture for the shadow removal, consisting ...
    • Analysing User Reviews for Evaluating Game Playability of Mobile Gaming Apps 

      Thakar, Swapnil (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The playability of a game depends on the players� experience in terms of functionality,usability, and satisfaction. Mobile gaming has recently evolved because ofthe availability of suitable hardware, configurable mobile ...
    • On the Robustness of Federated Learning towards Various Attacks 

      Yagnik, Shrey Devenkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      A study based on Federated Learning (FL), i.e., a kind of decentralized learningthat consists of local training among the clients, and the central server returnsthe federated average. Deep learning models have been used ...
    • Semantic Segmentation Based Object Detection for Autonomous Driving 

      Prajapati, Harsh (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This research focuses on solving the autonomous driving problem which is necessaryto fulfill the increasing demand of autonomous systems in today�s world.The key aspect in addressing this challenge is the real-time ...
    • Image Processing Using Digital Programming on FPGA 

      Kachchhi, Hardi (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Image processing is a way to transform an image into digital form and after thatperform some operations on it that helps to improve images for human interpretationand extract useful information from it. It is essential for ...
    • Model Based Testing and Model Checking : An Efficient Combination 

      Mishra, Rohit Ajaykumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This thesis aims to combine MBT with model analysis to provide an overall frame-work for feedback-based model analysis. We have used an MBT tool, Graph-Walker, and a model checker, UPPAAL, for transformation, feedback, and ...
    • Features for Speech Emotion Recognition 

      Uthiraa, S. (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The easiest and most effective or natural way of communication is through speech;the emotional aspect of speech leads to effective interpersonal communication.As technological advancements continue to proliferate, the ...
    • Self-Calibrating Soil Moisture Sensor for In-Situ Application 

      Jain, Shivangi (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Self-calibration techniques are performed with the following methods likesensor calibration wrt sensor and sensor calibration wrt soil. For self-calibrationwrt sensor, we deployed the sensor in different states of soil ...
    • Optimizing Routing Performance in Flying Ad-hoc Networks using an Adaptive Hello Interval Scheme 

      Telavane, Jui Sunil (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Hello messaging is a widely used scheme to obtain local link connectivity infor- mation. Traditional routing protocols that are used for FANETs scenarios, includ- ing the well-known Ad hoc On-Demand Distance Vector Routing ...
    • 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, ...
    • Single Image De-raining Using Convolutional Neural Network 

      Gajera, Pinak (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Rain streaks vary in size, quantity, and direction, making removing them from individualimages difficult. Recent advancements in deep learning, especially thoseusing CNN-based techniques, have shown promising results in ...
    • Analysis of social interaction, crowd density and mobility pattern using smartphone sensing 

      Mehta, Dhara Vipinkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The smartphone has become an important part of human life and with their in-tegrated sensor ecosystem, they offer a practical platform for analyzing humanbehavioral patterns. Traditionally, studies done till now in this ...
    • Content-Based Video Retrieval Based on Integration of Wavelet Transform, Color and Texture Features 

      Thakkar, Jahanvi (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      High-resolution, large-sized videos can now be transferred due to the fast developmentof information and communication technology, and video applicationshave developed in line with data quality levels. The applications of ...
    • 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 ...
    • Explanations by Counterfactual Argument in Recommendation Systems 

      Pathak, Yash (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In recent advances in the domains of Artificial Intelligence (AI) and MachineLearning (ML), complex models are used. Due to their complexity and approaches,they have black box type of nature and raise the question of a ...
    • Uncertainty Modeling in Significant Wave Height Forecast 

      Savaliya, Harshkumar Mukeshbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This thesis proposes different variants of LSTM models for point and probabilisticforecasting of significant wave height (SWH), a crucial component of wave energy.SWH forecasting is challenging due to ocean waves� complex ...
    • A Static Analysis Approach for Ethereum Smart Contracts 

      Vaishnavi (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The Ethereum blockchain market has grown in prominence in recent years, enablingthe daily trading of billions of dollars. Smart contracts are programs thatare written in Solidity language and are executed on the Ethereum ...
    • Dynamic User Intent Modeling for Conversational Recommendation using Long Short-Term Memory 

      Mansuri, Juned (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The rapid growth of conversational recommendation systems has revolutionizedhow users interact with recommender systems. However, accurately capturingand understanding user intent in dynamic conversational settings remains ...
    • Smartphones as Computing Platforms: An all-in-one Mobile Application 

      Trivedi, Jaineel Udayan (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Advancements in technology have led to more intelligent computing systems, butserver-based computing presents itself with network delay and high energy consumptionleading to significant carbon footprints. A lag in computing ...