Now showing items 41-60 of 1148

    • Neural Network Architectures for Integrated Circuits 

      Nagrani, Khyati (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This thesis presents the architecture design and implementation of neural networks(NNs) for integrated circuit design. The architecture consists of adders,multipliers, and rectified linear unit (ReLU) blocks. Three ...
    • Translation of Hindi in Roman Script into English: Use of Transformer 

      Modi, Parth (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Translation from one language to another is a complex problem in machine learningand one in which the machine still cannot achieve satisfactory results. Therecent focus for solving this challenge has been on neural machine ...
    • Comparative Performance Analysis of Column Family Databases : Cassandra and HBase 

      Sheth, Vinay (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Up until now, relational databases have been unquestionably the most prevalenttype of databases used to handle data. The advent of cloud computing and bigdata has underlined the need for databases that are capable of ...
    • Dispersion of Mobile Robots on Triangular Grid 

      Joshi, Yash Kirankumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The utilization of mobile robots to solve global problems in a distributed manneris an intriguing and novel approach to problem solving. In this paradigm, eachrobot operates independently while collaborating with other ...
    • Anomalies Detection in Radon Time Series for Earthquake Prediction Using Machine Learning Techniques 

      Gorasiya, Raghav (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Radioactive soil and water radon gas emission is a significant precursor to earthquakes.The meteorological parameters such as temperature, pressure, humidity,rainfall, and windspeed influence the radon gas emission from ...
    • Polarimetric SAR Image Classification using Gaussian Context Transformer in Complex-Valued Convolutional Neural Networks 

      Pandya, Utkarsh Samirbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      There have been many advancements in the field of terrain classification usingPolarimetric SAR images/data. This Thesis explores different classical methodsas well as deep learning methods for this task. The Covariance ...
    • Feature Selection Methods in Twin Support Vector Machines 

      Dodiya, Ruchita (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      For the development of a machine learning model both parameter tuning and feature selection are necessary . The model�s hyper parameters need to be tuned toachieve the best values because they have a significant impact on ...
    • Empirical Study Of Sampling Heuristics For Fairness In Ranking 

      Maharaaj, Vinay (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Ranking is an important problem for a variety of applications. Classical algorithmsfor ranking may be unfair towards certain group of people or individuals.Fairness may be jeopardized by ranking algorithms that produce ...
    • Automated Analysis of Natural Language Textual Specifications : Conformance and Non-Conformance with Requirement Templates (RTs) 

      Balwani, Shivani (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Natural Language (NL) is widely adopted as the primary method of expressingsoftware requirements, although determining its superiority is challenging. Em� irical evidence suggests that NL is the most commonly used notation ...
    • A Comprehensive Analysis of NFHS-5 data for TB in India 

      Thakkar, Abhishek Mukeshbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This study presents a comprehensive analysis of tuberculosis (TB) in India usingdata from the NFHS-5 (National Family Health Survey) program. The researchbegins by providing a thorough understanding of the DHS (Demographic ...
    • Investigating Robustness of Face Recognition System against Adversarial Attacks 

      Sarvaiya, Maulik Karshanbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Facial Recognition (FR) systems based on deep neural networks (DNNs) are widelyused in critical applications such as surveillance and access control necessitat-ing their reliable working. Recent research has highlighted ...
    • Study of Traffic Simulation Model for Heterogeneous Traffic 

      Singh, Mayank (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Mixed-mode traffic, consisting of diverse vehicle types with varying characteristics,holds significant importance over homogeneous traffic scenarios. Unlike homogeneoustraffic, which comprises vehicles with similar attributes, ...
    • Evaluation of Eventual Consistency and Linearizability in MongoDB 

      Vora, Harshal Rajeshbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Sharding and replication are crucial techniques for scaling distributed systems,enabling data distribution across multiple nodes. However, as the number ofreplicas increases, maintaining consistency across them becomes ...
    • Salient Object Super-resolution 

      Gaur, Attendra (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Salient object super-resolution refers to enhancing the resolution and details ofsalient objects or regions in an image. It is a sub-field of image super-resolution,which aims to generate high-resolution salient object ...
    • Unsupervised Cycle GAN based Homogeneous and Non-homogeneous Image Dehazing 

      Vekariya, Jaymin (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Atmospheric phenomena like haze, fog, and smoke degraded image visibility. Asa result, there is less contrast, colour distortion, etc. in the obtained image. Inremote sensing, computer vision, and photography, haze reduction ...
    • 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 ...
    • Position Estimation of Intelligent Artificial Systems Using 3D Point Cloud 

      Patel, Vraj (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The three-dimensional reality collected by various sensors such as LiDAR scanners,depth cameras and stereo cameras, is represented by point cloud data. Thecapacity of point clouds to provide rich geometric information about ...
    • Empirical Study Of Smartphones As An Edge Device 

      Shah, Vyom Hiteshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Increased automation and intelligence in computer systems have revealed Cloudbasedcomputing constraints such as unpredictable latency in safety-critical andperformance-sensitive applications. Features of smartphones attract ...
    • Impact of Image Enhancement on Multi-Object Tracking in Underwater Scenario 

      Kumar, Rahul (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This thesis examines the impact of image enhancement techniques on multi-objecttracking (MOT) performance using four deep learning models: Long Short-TermMemory (LSTM), Vision Transformer, Siamese Network, and Convolutional ...
    • Splittable and Highly Connectable Degree Sequences 

      Mavani, Shreyas (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This work explores the broad domain of the relationship between graphs withthe same degree sequence, aiming to find a degree sequence characterization forcertain graph classes. Degree sequences represent the sequence of ...