Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Sreela Sasi"'
Autor:
Sreela Sasi, Sai Tarun Gollapudi
Publikováno v:
2021 8th International Conference on Smart Computing and Communications (ICSCC).
As technology advances, there is a great deal of deceptive information revolving around the news websites and all-over the social media. This menace can only be handled by automating the verification of authenticity of the websites rather than manual
Autor:
Norah Alqahtani, Sreela Sasi, Aya Bashy, Nahed Ali, Nujood Almajnooni, Tarik Alafif, Aisha Fallatah, Telawa Albarakati, Ahad Allhabi, Tahani Alkhodidi, Lamia Aljoudi
Publikováno v:
2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE).
Generative Adversarial Network (GAN) has made a breakthrough and great success in many research areas in computer vision. Different GANs generate different outputs. In this research work, we apply different GANs to generate handwritten Arabic charact
Autor:
Sreela Sasi, Sai Tarun Gollapudi
Publikováno v:
ICDSE
Most software employees are facing challenges on integrating programs written in different languages for implementing the techniques for their software development. This can be achieved by automating the conversion of programs using natural language
Autor:
Hamad Mousa A. Aljassas, Sreela Sasi
Publikováno v:
2019 2nd International Conference on Computer Applications & Information Security (ICCAIS).
Blockchain is the underlying technology of Bitcoin that allows a peer-to-peer distributed ledger with security and immutability. The core of a blockchain is the consensus mechanism that sets the rule for nodes in handling the shared data. Implementat
Autor:
Sreela Sasi, Sai Swaroop Ratakonda
Publikováno v:
2018 International Conference on Data Science and Engineering (ICDSE).
This research addresses the problem of fluctuation in the hidden patterns within the patterns of financial time series data from the stock market. It becomes even more difficult when the data repository is huge and the data source is from multiple so
Autor:
Pratik Thakor, Sreela Sasi
Publikováno v:
INNS Conference on Big Data
Social media provides a platform where users share an abundance of information on anything and everything. The information may consist of users’ emotions, feedbacks, reviews, and personal experiences. In this research a novel Ontology-based Sentime
Autor:
Sreela Sasi, Tarun B. Mirani
Publikováno v:
2017 International Conference on Networks & Advances in Computational Technologies (NetACT).
People tend to read multiple news articles on a topic since a single article may not contain all important information. A summary of all the articles related to topic will save the time and energy. Text Summarization is a way of minimizing a textual
Autor:
Sreela Sasi, Ashraf Q. Mahlawi
Publikováno v:
2017 International Conference on Networks & Advances in Computational Technologies (NetACT).
Structured data, typically, is predefined data. Semi-structured and unstructured data are not predefined data that includes documents, emails, social media posts, images, videos, etc. In this research, a novel process is presented to extract structur
Autor:
Sreela Sasi, Alaa F. Alsaqer
Publikováno v:
2017 International Conference on Networks & Advances in Computational Technologies (NetACT).
Automatic text summarization is one of the important challenges of natural language tasks. It will help the readers save time to get the important information from a lengthy document automatically. Sentiment Analysis is the process of identifying and
Autor:
Sreela Sasi, Saad A. Yaseen
Publikováno v:
Journal of Image and Graphics. :41-45