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Results for “"Sultana Rokeya Naher"”

8 results

An Optimal Learning Model for Training Expert System to Detect Uterine Cancer

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Tanjim Mahmud, Juel Sikder, Umme Salma, Sultana Rokeya Naher et al.

Journal: Procedia Computer ScienceYear: 2021Citations: 27

In both developed and emerging countries, like Bangladesh, uterine cancer is one of the most common cancers for women. It is also the sixth most common cancer among females in the world and the fourteenth most common cancer in total. In recent years, the high prevalence of uterine cancer in women ha...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach

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Sultana Umme Habiba, Tanjim Mahmud, Sultana Rokeya Naher, Mohammad Tarek Aziz et al.

Journal: Lecture notes in networks and systemsYear: 2024Citations: 26
Social SciencesSociology and Political ScienceMisinformation and Its Impacts
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Exploring Deep Learning for Chittagonian Slang Detection in Social Media Texts

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Sultana Rokeya Naher, Sayfun Sultana, Tanjim Mahmud, Mohammad Tarek Aziz et al.

Year: 2024Citations: 26

Detecting and understanding the meaning of sentences has emerged as a crucial area of research in natural language processing, driven by the prevalence of social media platforms where users freely express their thoughts and emotions. Unfortunately, the anonymity provided by these platforms has led t...

Physical SciencesComputer ScienceArtificial Intelligence
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Decision Support System for House Hunting: A Case Study in Chittagong

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Tanjim Mahmud, Juel Sikder, Sultana Rokeya Naher

Journal: Advances in intelligent systems and computingYear: 2020Citations: 26
Life SciencesAgricultural and Biological SciencesFood Science
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Face Detection and Recognition System

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Tanjim Mahmud, Sajib Tripura, Umme Salma, Jannat Fardoush et al.

Journal: Lecture notes in networks and systemsYear: 2021Citations: 20
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Investigating the Effectiveness of Deep Learning and Machine Learning for Bangla Poems Genre Classification

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Rayhanuzzaman Rayhanuzzaman, Tanjim Mahmud, Utpol Kanti Das, Sultana Rokeya Naher et al.

Year: 2024Citations: 16

Bangla Poems Genre Classification is crucial for understanding and preserving cultural heritage. In this paper, we employ both machine learning and deep learning approaches to classify Bangla poetry genres. Our study encompasses a range of models, including Multinomial Naive Bayes, Support Vector Ma...

Physical SciencesComputer ScienceArtificial Intelligence
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A Randomized Clinical Trial on the Need of Continuing Oxytocin Infusion in Active Phase of Induced Labour

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Lutfun Naher Begum, Munawar Sultana, Shamsun Nahar, Rokeya Begum et al.

Journal: Chattagram Maa-O-Shishu Hospital Medical College JournalYear: 2013Citations: 11

Objective : To evaluate the effect of continuation and discontinuation of oxytocin infusion on maternal and neonatal outcome once the active phase of labour is established. Methods: This is a prospective randomized clinical trial on 100 pregnant women in whom labour was induced on obstetric ground i...

Health SciencesMedicineObstetrics and GynecologyOpen Access
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Automated Bengali Sign Language Character Classification with Deep Learning Techniques

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Tahmina Akter, Tanjim Mahmud, Titon Barua, Sultana Rokeya Naher et al.

Year: 2024Citations: 10

Recognition of Bengali sign language characters is crucial for facilitating communication for the deaf and hard-of-hearing population in Bengali-speaking regions, which encompass approximately 430 million people worldwide. Despite the significant number of individuals requiring this support, researc...

Physical SciencesComputer ScienceHuman-Computer Interaction
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