Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Hasi Saha"'
1
Akademický článek
Towards privacy-preserving Alzheimer’s disease classification: Federated learning on T1-weighted magnetic resonance imaging data
Autor: Md Abdus Sahid, Md Palash Uddin, Hasi Saha, Md Rashedul Islam
Publikováno v: Digital Health, Vol 10 (2024)
Objective This study aims to address the challenge of privacy-preserving Alzheimer’s disease classification using federated learning across various data distributions, focusing on real-world applicability. The goal is to improve the efficiency of c
Externí odkaz: https://doaj.org/article/f2cb134552ef444dab505c9bb43f6ce5
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2
Akademický článek
Intent Identification by Semantically Analyzing the Search Query
Autor: Tangina Sultana, Ashis Kumar Mandal, Hasi Saha, Md. Nahid Sultan, Md. Delowar Hossain
Publikováno v: Modelling, Vol 5, Iss 1, Pp 292-314 (2024)
Understanding and analyzing the search intent of a user semantically based on their input query has emerged as an intriguing challenge in recent years. It suffers from small-scale human-labeled training data that produce a very poor hypothesis of rar
Externí odkaz: https://doaj.org/article/f64e40f3a419447e9c3995a92b11d9cb
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3
Akademický článek
Feature Subset Selection for High-Dimensional, Low Sampling Size Data Classification Using Ensemble Feature Selection With a Wrapper-Based Search
Autor: Ashis Kumar Mandal, MD. Nadim, Hasi Saha, Tangina Sultana, Md. Delowar Hossain, Eui-Nam Huh
Publikováno v: IEEE Access, Vol 12, Pp 62341-62357 (2024)
The identification of suitable feature subsets from High-Dimensional Low-Sample-Size (HDLSS) data is of paramount importance because this dataset often contains numerous redundant and irrelevant features, leading to poor classification performance. H
Externí odkaz: https://doaj.org/article/06d6923e3a5e4dc0b17690f2c12390e0
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4
Akademický článek
Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability
Autor: Nahid Sultan, Mahmudul Hasan, Md. Ferdous Wahid, Hasi Saha, Ahsan Habib
Publikováno v: IEEE Access, Vol 11, Pp 84487-84499 (2023)
Disease samples are naturally fewer than healthy samples which introduces bias in the training of machine learning (ML) models. Current study focuses in learning discriminating patterns between cesarean and non-cesarean phenomena based on a dataset c
Externí odkaz: https://doaj.org/article/02da2e3751864bab8661871fd51bbb6e
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6
Prospects of Designing a Prototype for District Level Rice Production Information System (RPIS)
Autor: M. Rokunuzzaman, G C Saha, Hasi Saha
For agricultural and rural development, Information and Communication Technologies (ICTs) are critical in facilitating communication and access to information. Agriculture is a national priority sector, thus it's one of the areas where ICTs could be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12548d64483d640048d823f918ce21ac
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8
USER AUTHENTICATION THROUGH CUED CLICK POINTS BASED GRAPHICAL PASSWORD
Autor: Hasi Saha, Ganesh Chandra Saha, Roshidul H, Zakirul Islsam
Publikováno v: American Journal of Agricultural Science, Engineering, and Technology. 3:1-12
User authentication is a fundamental component in most computer security context. In recent years, computer and network security has been formulated as a technical problem. A key area in security research is authentication which is the determination
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b10245b6a6ff785b342324186ccffb19
https://doi.org/10.54536/ajaset.v3i1.38
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