M Tech Dissertations: Recent submissions

Now showing items 21-40 of 923

    • Design Web Application For IoT Enabled Agriculture Sensor Systems 

      Sheth, Yash (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Application Design plays a crucial role in Internet of Things (IoT) systems, servingas the data repository for IoT nodes. Additionally, web applications are widelyutilized for data analysis and offer remote accessibility. ...

    • Automated Handwritten Answer Sheet Evaluation System Using Deep Learning Methods 

      Ratanghayara, Khushali (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Automation has gained significant prominence in various technological domains,offering the potential to streamline processes and minimize human error. Eventhough it is believed that education and the process of teaching-learning ...

    • Graph Neural Network Based Semantic Mapping and Classification of Dataset for Robotics Applications 

      Sharma, Devesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In the field of Robotics, deriving meaningful insights from spatial information ispivotal. Our objective was to work with 2D dataset as 3D datasets are relativelymore time consuming as our target is to objective was to do ...

    • Analyzing Functional Connectivity Networks in the Brain and the Relationshipof Node-Level Characteristics 

      Patel, Dhairya Bhaveshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      It might be difficult to comprehend how the brain functions and how its structureand function interact because it is the body�s most complicated organ. Recentadvances in the non-invasive measurement techniques of brain ...

    • Design of 4-bit Barrel Shifter in Quantum Dot Cellular Automata 

      Kollipara, Sai Sree Rohini (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This thesis proposes the design of a 4-bit barrel shifter using Quantum DotCellular Automata (QCA) technology. With decreasing feature size, CMOS technologyfaces various challenges like leakage current, drain induced barrier ...

    • Automatic localization of anatomical landmarks in 2D MRI localizer sequence using deep convolutional neural network 

      Shah, Divya (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In Medical Imaging of the brain, especially Magnetic Resonance Imaging (MRI), localizing various anatomical landmarks like the Anterior and Posterior Commissure (A.C./P.C.) and Mid-Sagittal plane (MSP) is crucial for good ...

    • Multi-Model Person Re-identification: Combining Facial and Body Features 

      Bharadwaj, Hemani (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In the surveillance industry, Person Re-identification (Re-ID) is significant as it matches a person�s appearance across multiple non-overlapping cameras. How-ever, this task is challenging due to changes in camera viewpoints, ...

    • Evaluation of Personalized Summarization 

      Vansh, Rahul Bhanjibhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This research aims to address the limitations in evaluating the personalization ofa summarizer model solely based on its accuracy. Current accuracy-based measures,such as ROUGE, fail to consider subjectivity when evaluating ...

    • Tissue-Specific Analysis of Super Resolution Methods for Medical Images 

      Doshi, Nisarg (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Image super-resolution (SR) techniques are widely used in various domains toenhance the resolution of low-resolution images, producing visually appealinghigh-resolution versions. However, regarding medical images, SR methods ...

    • 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 ...