M Tech Dissertations: Recent submissions

Now showing items 101-120 of 820

    • Chip level simulation for timing analysis of a target micro controller 

      Mishra, Priyabrata (2020)
      Recent advancements in the automobile industry and the exponential development of the semiconductor industry has led to a new paradigm of the automobile, called Automatic vehicle. In this paradigm, the integration of more ...

    • Sparse representation and fisher discriminant criterion based dimensionality reduction for face recognition 

      Chavda, Parita (2020)
      Dimensionality Reduction(DR) is a very popular topic in the field of pattern recognition. Generally, Practical applications like face recognition, object classification, and text categorization include high dimensional ...

    • Creation of automation plugins for autosar tool 

      Gupta, Suesha (2020)
      Automotive system development is getting more complex due to several reasons such as exponential increase of automotive functionality and hence development of software time. Furthermore, nowadays each vehicle has more than ...

    • Business intelligence portal for customer insights 

      Purohit, Saurabh (2020)
      The Business Intelligence portal for Customer Insights focuses on providing a business solution for the customer/client as per their requirements be it customer interaction, sales in a particular geography, current users, ...

    • WSN Network Analysis and Prediction using ML 

      Patel, Charmy Bharatbhai (2020)
      Wireless sensor networks are a group of sensors that monitor and record the physical changes of the environment that change rapidly over time. This ability of WSNs help in various fields ranging from the engineering industry ...

    • Deep learning techniques for speech pathology applications 

      Purohit, Mirali Virendrabhai (2020)
      Human-machine interaction has gained more attention due to its interesting applications in industries and day-to-day life. In recent years, speech technologies have grown rapidly because of the advancement in fields of ...

    • Sentence detection 

      Shah, Pushya (2020)
      Sentence detection is a very important task for any natural language processing (NLP) application. Accuracy and performance of all other downstream natural language processing (NLP) task like Sentiment, Text Classification, ...

    • Micro-services of treebo hotels 

      Gami, Shradha (2020)
      As a title of this project I have worked on different services of treebo hotels. I have designed an email notification integration for price prediction failure/price push failure. The purpose of designing such integration ...

    • Apparel attributes classification using deep learning 

      Desai, Harsh Sanjaykumar (2020)
      Apparel attributes classification finds a practical applications in E-Commerce. The project is for www.Blibli.com website which is an E-commerce Platform in Indonesia and a partner of Coviam Technologies. This report ...

    • Mobile automation of acko website 

      Thakkar, Ajay (2020)
      Mobiles are now widely used for computing rather than for just calling. Testing Mobile applications is more complex and time consuming compared to traditional desktop and web applications. Manual testing is time consuming ...

    • What does BERT learn about questions 

      Tyagi, Akansha (2020)
      Recent research in Question Answering is highly motivated by the introduction of the BERT [5] model. This model has gained considerable attention since the researcher of Google AI Language has claimed state-of-the-art ...

    • Retrospective analysis on financial news & NIFTY50 

      Lakkad, Tanvi (2020)
      Nowadays, a plethora of financial news related to different businesses and stocks are available through various sources. Market movements directly or indirectly get affected by various factors such as economic, political, ...

    • Clickbait detection using deep learning Techniques 

      Parikh, Apurva Ketanbhai (2020)
      With the growing shift towards news consumption primarily through social media sites like Twitter, Facebook etc., most of the news agencies are prompting their stories on social media platform. These news agencies are ...

    • Image aesthetic assessment using deep learning 

      Sherashiya, Shyam (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      Image aesthetic assessment is defined as to classify the image in aesthetically good images and aesthetically bad images. In era of digital media, video and images has impact more in human life. Image aesthetic assessment ...

    • Mobile messaging and analytics web application with third party API integration 

      Langhnoda, Pooja (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      Mobile messaging is one of the best application to reach out the customers. If companies like banking sector, health sector aspire to instruct their customers who are having limited insight on technology or current affairs, ...

    • Fraud detection in teen patti 

      Siddhapura, Abhijit (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      Octro Inc is one of the fastest-growing mobile gaming companies around. It aims to develop productive applications for mobile devices. The company is engaged in creating mobile gaming platforms. Some of their recent gaming ...

    • DOOH automation 

      Mathur, Ayush (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      As time proceeds the way of advertisement also changes. In the early days Indians used handmade posters on fabrics, Egyptians used papyrus to make sales messages and wall posters. By the invention of the printing press, ...

    • Light weight end to end pipeline for ingesting documents into UDR 

      Patel, Prince Rakeshbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      The work describes here is to create an end to end data pipeline with open source tools and technologies available, we have used Nifi which is ETL (Extract, Transform and load) tool to ingest the data and transform it using ...

    • Out of home advertising platform 

      Patel, Urmi (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      Out Of Home advertising is about passing the particular message to consumers when they are at public places, commuting to work, or waiting at places(elevators or bus stops). Traditional OOH formats include billboards, ...

    • Bayesian networks : Bayesian learning in neural networks and autoencoders 

      Sadrani, Riya D. (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      In traditional neural networks, we have fixed weights and biases that determine how input is transformed into an output. In a Bayesian Neural Network (BNN), all weights and biases have a probability distribution attached ...