Search Results for author: Anika Tabassum Sejuty

Found 2 papers, 0 papers with code

Generative Adversarial Networks for Data Augmentation

no code implementations3 Jun 2023 Angona Biswas, MD Abdullah Al Nasim, Al Imran, Anika Tabassum Sejuty, Fabliha Fairooz, Sai Puppala, Sajedul Talukder

One way to expand the available dataset for training AI models in the medical field is through the use of Generative Adversarial Networks (GANs) for data augmentation.

Data Augmentation Domain Adaptation

A Survey of Recommender System Techniques and the Ecommerce Domain

no code implementations15 Aug 2022 Imran Hossain, Md Aminul Haque Palash, Anika Tabassum Sejuty, Noor A Tanjim, MD Abdullah Al Nasim, Sarwar Saif, Abu Bokor Suraj, Md Mahim Anjum Haque, Nazmul Karim

This paper reviews the different techniques and developments of recommender systems in e-commerce, e-tourism, e-resources, e-government, e-learning, and e-library.

Recommendation Systems

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