Now showing items 61-80 of 923

    • Automatic Text Translation of Multilingual Sentences using Transformer 

      Hari Charan, Edara Veera Venkata (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Machine translation from one language to another is a complex problem in machine learning and one in which the machine still cannot achieve satisfactory results. The recent focus for solving this challenge has been on ...
    • Modeling and Formal Verification of The Dining Philosophers Problem Using SPIN 

      Makvana, Kripalsinh (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      The SPIN tool is used for verifying the correctness of the system. SPIN stands for simple PROMELA interpreter. It�s been used to find design problems in systems. The main idea behind the thesis is to provide an overview ...
    • Finding Proxy For Human Evaluation Re-evaluating the evaluation of news summarization 

      Ranpara, Tarang J. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Engaging human annotators to evaluate every summary in a content summarization system is not feasible. Automatic evaluation metrics act as a proxy for human evaluation. A high correlation with human evaluation determines ...
    • Scalable Privacy-Preserving Recommendation System 

      Tamboli, Rushabh (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Recommendation systems, which are used by e-business applications, play an essential role in our daily life. For example, companies like Amazon, Flipkart, YouTube use recommendation systems to generate customized recommendations ...
    • MongoDB Schema Design and Evaluation 

      Rajvir, Vidhi Arvindbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Relational Databases have always been the only choice for several decades. However, modern times they have started falling short in terms of scalability. Also, current applications do not fit well in the strict schema ...
    • Non-homogeneous Dehazing of Images by Attention Mechanism in Deep Framework 

      Dhedhi, Akash T. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      The availability of dehazing datasets has enabled various deep learning techniques to perform effectively on hazy images. Most of the developed frameworks focus on removing homogeneous haze. However, homogeneous centric ...
    • VLSI Implementation of Neural Network Driven Augmented FSM 

      Patel, Jimmy Kirtikumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      This thesis reports the VLSI implementation of an NN (Neural Network) based emergent behavior model for high-speed robot control. Augmented FSM (Finite- State Machine) is considered to implement the emergent behavior. We ...
    • Attack on Network Traffic Classification 

      kumar, Pushpender (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Various network traffic management and intrusion detection solutions use network traffic classification. Machine Learning (ML), while deep learning (DL)-based models, had exhibited excellent performance in Internet traffic ...
    • Multi-patch Hierarchical Network with Non-local Information for Real World Image Denoising 

      Savaliya, Krishna (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      In the domain of image denoising, there has been significant and rapid devel opment recently. Many prior noise modeling based and deep learning based al gorithms have shown outstanding results in denoising. However, the ...
    • Increasing Transferability by Imposing Linearity and Perturbation in Intermediate Layer with Diverse Input Patterns 

      Shah, Meet Ashvinkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Despite high prediction accuracy, deep neural networks are vulnerable to adversarial attacks, introduced by perturbations that humans may not even perceive. Hence, adversarial examples can mislead the trained networks. As ...
    • Q-Learning Accelerator Chip Design for Robot Path Planning 

      Advani, Harsh Shekhar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      A variety of frameworks and set of tools used for creating complex and difficult behaviours are provided by reinforcement learning in robotics. Q-learning is one of the most popularly used algorithms in reinforcement ...
    • Shadow Detection And Removal From Images 

      Mehta, Krunal Kamleshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Shadow removal from images and videos is an essential task in computer vision that concentrates on detecting the shadow generated by the obstructed light source and obtaining realistic shadow free results. The features of ...
    • A Comparative Study of Time Series Databases 

      Shah, Bonil (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Big data sectors such as the Internet of Things (IoT) generates enormous volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series Database (TSDB) popularity has grown alongside the rise ...
    • Design and Performance Benchmarking of Hybrid FinFET/MTJ-based Logic-In-Memory 7:2 compressor for high-speed application 

      Parmar, Rajdeep (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Spintronics can be a very good candidate for the replacement of complementary metal oxide-semiconductor (CMOS) technology. A digital signal processor (DSP) has a multiplier as a key element in the circuit. Multiplier having ...
    • HCI Guidelines to Reduce Cognitive Distraction Among Drivers 

      Kumar, V. Manoj (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Driver Distraction is a very common phenomenon observed in automobile drivers. This can be due to several factors ranging from mobile phone usage to talking to co-passengers, etc. In recent years, most cars are being fitted ...
    • SDINet Scheme for Generalized Text Detection in Scene and Document Images 

      Pal, Pravir (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Text Detection is an essential intermediate step in optical character recognition (OCR). OCR applied in scene text images is helpful for applications such as traffic signs and vehicle number plate recognition. OCR applied ...
    • 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 ...
    • 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 ...
    • ASIC Chip Design For Agriculture Application 

      Pandya, Abhishek (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      This paper presents an application specific integrated circuit (ASIC) implementation suitable for agriculture applications, which employ RISC-V as a digital processing unit and the sensor interfacing circuits. The motivation ...
    • Super resolution of Covid-19 CT-Scan Images 

      Patel, Vaidik Gautam (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Acquisition of high quality CT images is difficult, because it requires exposing patients to high doses of radiation. Super resolution algorithms can help in over coming this problem and obtain higher spatial resolution ...