Browsing by Subject "Deep learning"
Now showing items 1-12 of 12
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Apparel attributes classification using deep learning
(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 ... -
Applications of deep-learning at digital communication receiver
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)Modulation and demodulation are fundamental modules for communication systems. The modulation techniques — Offset QPSK (OQPSK), p/2 BPSK, p/4 QPSK and GMSK — are frequently applied in the power-constrained wireless ... -
Auditory representation learning
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)Representation learning (RL) or feature learning has a huge impact in the field of signal processing applications. The goal of the RL approaches is to learn the meaningful representation directly from the data that can be ... -
Augmenting dialogue generation using dialogue act embeddings: a transfer learning approach
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)The following work looks at contemporary end-to-end dialogue systems with the aim of improving dialogue generation in an open-domain setting. It provides an overview of popular literature in the domain of dialogue generation, ... -
Clickbait detection using deep learning Techniques
(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 ... -
Deep Learning for Severity Level-based Classification of Dysarthria
(2021)Dysarthria is a motor speech disorder in which muscles required to speak somehow gets damaged or paralyzed resulting in an adverse effect to the articulatory elements in the speech and rendering the output voice unintelligible. ... -
Deep learning techniques for speech pathology applications
(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 ... -
Human Action Recognition Using Deep Neural Networks
(Dhirubhai Ambani Institute of Information and Communication Technology, 2017)"In this thesis, we present a hierarchical approach for human action classification using 3-D Convolutional neural networks (3-D CNN). Human actions refer to positioning and movement of hands and legs and hence can be ... -
Imbalanced bioassay data classification for drug discovery
(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 ... -
Impact of Weather Conditions on Macroscopic Traffic Stream Variables in an Intelligent Transportation System
(Dhirubhai Ambani Institute of Information and Communication Technology, 2021)"Accurate prediction of the macroscopic traffic stream variables such as speed and flow is essential for the traffic operation and management in an Intelligent Transportation System (ITS). Adverse weather conditions like ... -
Object Recognition using Self Learned Features
(Dhirubhai Ambani Institute of Information and Communication Technology, 2016)A great deal of research has been centered around developing algorithms forlearning features from unlabelled information. Much advance has been made onbenchmark datasets by utilizing progressively complex unsupervised ... -
Personalized News-Feeds Recommendation System
(Dhirubhai Ambani Institute of Information and Communication Technology, 2017)"The idea of personalization of recommendations is a very important factor - both for users as well as organizations. Users want their experience on a website to be as comfortable as possible, and the organizations want ...