Now showing items 1-10 of 10

    • 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 ...
    • 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 ...
    • 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 ...
    • Human action recognition in video 

      Kumari, Sonal (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...
    • Imbalanced bioassay data classification for drug discovery 

      Shah, Jeni Snehal (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      All the methods developed for pattern recognition will show inferior performance if the dataset presented to it is imbalanced, i.e. if the samples belonging to one class are much more in number compared to the samples ...
    • Learning cross domain relations using deep learning 

      Kotecha, Dhara (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      The Generative Adversarial Networks (GAN) have achieved exemplary performance in generating realistic images. They also perform image to image translation and produce good results for the same. In this thesis, we explore ...
    • Learning to rank: using Bayesian networks 

      Gupta, Parth (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Ranking is one of the key components of an Information Retrieval system. Recently supervised learning is involved for learning the ranking function and is called 'Learning to Rank' collectively. In this study we present ...
    • Moment based image segmentation 

      Chawla, Charu (Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
      Usually, digital image of scene is not same as actual; it may degrade because of environment, camera focus, lightening conditions, etc. Segmentation is the key step before performing other operations like description, ...
    • Study of bayesian learning of system characteristics 

      Sharma, Abhishek (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
      This thesis report basically deals with the scheduling algorithms implemented in our computer systems and about the creation of probabilistic network which predicts the behavior of system. The aim of this thesis is to ...
    • 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 ...