Search Results for author: Nazmus Sakib

Found 6 papers, 0 papers with code

Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review

no code implementations26 Aug 2023 Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Nasrin Dehbozorgi, Nazmus Sakib, Quan Z. Sheng

Overall, this survey paper aims to provide a comprehensive overview of the current state-of-the-art in FL for CVD detection and to highlight its potential for improving the accuracy and privacy of CVD detection models.

Federated Learning

Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning

no code implementations27 Mar 2023 Nazmus Sakib, G. M. Shahariar, Md. Mohsinul Kabir, Md. Kamrul Hasan, Hasan Mahmud

In this study, we present a novel dataset of two million culinary recipes labeled in respective categories leveraging the knowledge of food experts and an active learning technique.

Active Learning Genre classification +6

Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans

no code implementations8 Nov 2019 Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jagersand

We observe that our method demonstrates time-efficient path planning behavior with high success rate in mapless navigation tasks.

Robotics

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