Stock price data have the characteristics of time series. At the same time, based on machine
learning long short‐term memory (LSTM) which has the advantages of analyzing …

Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …

Cloud computing provides different kind of services for users and provides with the help of
internet. The Infrastructure as a service is a service model that provides virtual computing …

Abstract Visual Question Answering (VQA) is a multi-disciplinary research problem that has
captured the attention of both computer vision as well as natural language processing …

Abstract Both Visual Question Answering (VQA) and image captioning are the problems
which involve Computer Vision (CV) and Natural Language Processing (NLP) domains. In …

These days one of the major causes of partial or complete blindness that has affected a
majority of people all around the world is glaucoma. Glaucoma is caused as a result of …

Deep learning approaches can be applied to a large amount of data for the purpose of
simplifying and improving the engineering practice of automated decision-making activities …

Text contained in an image gives useful information about that image. Consider a warning
signboard with text “high voltage”; it indicates the hazard or risk involved in the image. Thus …

Traditionally, rice leaf disease identification relies on a visual examination of abnormalities
or an analytical result obtained by growing bacteria in the research lab. This method of …

The aim of the image captioning task is to understand various semantic concepts such as
objects and their relationships in an image and combine them to generate a natural …