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Results for “"Dola Das"”

16+ results

Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

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Md. Kamrul Hasan, Md. Ashraful Alam, Dola Das, Eklas Hossain et al.

Journal: IEEE AccessYear: 2020Citations: 581

Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level of sugar in the blood over a long period. The risk factor and severity of diabetes can be reduced significantly if the precise early prediction is possible. The robust and accurate prediction of diabetes is...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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The impact of the COVID-19 pandemic on the mental health of the adult population in Bangladesh: a nationwide cross-sectional study

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Md. Hasan Al Banna, Abu Sayeed, Satyajit Kundu, Enryka Christopher et al.

Journal: International Journal of Environmental Health ResearchYear: 2020Citations: 242

The recent COVID-19 pandemic has imposed threats on both physical and mental health since its outbreak. This study aimed to explore the impact of the COVID-19 pandemic on mental health among a representative sample of home-quarantined Bangladeshi adults. A cross-sectional design was used with an onl...

Social SciencesPsychologyClinical Psychology
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The impact of the COVID-19 pandemic on the mental health of the adult population in Bangladesh: A nationwide cross-sectional study

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Hasan Al Banna, Abu Sayeed, Satyajit Kundu, Enryka Christopher et al.

Year: 2020Citations: 46

The recent COVID-19 pandemic has imposed threats on both physical andmental health since its outbreak. This study aimed to explore the impactof the COVID-19 pandemic on mental health among a representativesample of home-quarantined Bangladeshi adults. A cross-sectional designwas used with an online ...

Social SciencesPsychologyClinical PsychologyOpen Access
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Perceived Human-Induced Causes of Landslide in Chattogram Metropolitan Area in Bangladesh

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Zia Ahmed, A. H. M. Belayeth Hussain, Shrinidhi Ambinakudige, Mufti Nadimul Quamar Ahmed et al.

Journal: Earth Systems and EnvironmentYear: 2022Citations: 19
Physical SciencesEnvironmental ScienceManagement, Monitoring, Policy and Law
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Experiences of front-line nurses caring for patients with COVID-19 in Bangladesh: A qualitative study

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Moustaq Karim Khan Rony, Shuvashish Das Bala, Md. Moshiur Rahman, Afrin Jahan Dola et al.

Journal: Belitung Nursing JournalYear: 2021Citations: 12

Background: As the incidence of COVID-19 is increasing, the Bangladesh government has announced a countrywide shutdown instead of a lockdown. Consequently, front-line healthcare workers, particularly nurses, are confronting more challenging situations at work. Objective: This study aimed to explore ...

Social SciencesPsychologyClinical PsychologyOpen Access
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An Ensemble-based Deep Learning Model for Multi-class Flower Recognition

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Md.Fozle Rabbi, Sraboni Das Dola, Noorjahan Binte Kader Taha, Tamim Al Mahmud et al.

Year: 2023Citations: 9

Many species around the globe heavily depend on flowers, and even the use of flowers for medical purposes is enormous, which has been in practice since ancient times. In modern botany, agronomy, and species research, the identification and classification of flowers mainly depend on human interventio...

Life SciencesAgricultural and Biological SciencesPlant Science
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Fake News Detection: Exploring the Efficiency of Soft and Hard Voting Ensemble

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Arifur Rahman, Sakib Zaman, Shahriar Parvej, Pintu Chandra Shill et al.

Journal: Procedia Computer ScienceYear: 2025Citations: 8

Fake news dissemination is a critical problem, jeopardizing the reliability of information and eroding public confidence. Machine learning provides a solution by distinguishing between real and misleading news. In this study, we utilized various classifiers such as KNN, Logistic Regression, Decision...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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BanglaGPT: A Generative Pretrained Transformer-Based Model for Bangla Language

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Md. Shahidul Salim, Hasan Murad, Dola Das, S. Faisal Ahmed

Year: 2023Citations: 5

Natural Language Processing (NLP) has entered a new era with the advent of pre-trained language models, paving the way for constructing robust language models. Pretrained transformer-based models such as GPT-2 have become prevalent due to their cutting-edge efficiency. However, these approaches rely...

Physical SciencesComputer ScienceArtificial Intelligence
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A Comparative Study to Predict Diabetes using Machine Learning Techniques

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Arpita Das, Shanta Kumar Das, Dola Das, Kazi Md. Rokibul Alam

Year: 2021Citations: 5

In the present world, diabetes can be a life-threatening disease. If it is not treated timely, it can lead to different diseases like kidney damage, stroke, nerve damage, etc. But diabetes can be easily controlled if it is predicted as early as possible. In this paper, we proposed a system that can ...

Health SciencesHealth ProfessionsHealth Information Management
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Relationship between Islamic Lifestyle and Mental Health in Pregnant Women : A Cross-Sectional Study

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Mona Pakzad, Mahrokh Dolatian, Yahia Jahangiri, Malihe Nasiri et al.

Journal: Bangladesh Journal of Medical ScienceYear: 2020Citations: 5

Objective: Mental health problems in women during pregnancy are widely associated with the negative consequences of pregnancy. Various factors can affect the mental health improvement in pregnancy. The effects of lifestyle and especially the Islamic lifestyle on mental health are unknown. Therefore,...

Social SciencesSociology and Political ScienceMarriage and Family DynamicsOpen Access
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Real Time Distance and Mobility Detection of Obstacles Using a Smart Multisensor Framework for Visually Impaired People

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Dola Das, Prottoy Saha, Nawshin Tabassum

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 5

In the present era, every people wants to be self-reliant even if he is a visually impaired person. Even these people want to be self-reliant in the busy road or a crowded place. This paper offers a system that helps these people. The system includes three Ultrasonic Sonar sensors, three Passive Inf...

Life SciencesNeuroscienceCognitive Neuroscience
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Cracking the Genetic Codes: Exploring DNA Sequence Classification with Machine Learning Algorithms and Voting Ensemble Strategies

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Arifur Rahman, Sakib Zaman, Dola Das

Year: 2024Citations: 4

In the domain of bioinformatics, DNA sequence classification is an indispensable tool that spans various scientific disciplines, contributing to scientists' understanding of biology, aiding in the identification of genes, regulatory elements, and the functional significance of distinct genomic regio...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Towards a Globally Collaborative Behavioral Science:An Organizational Approach from Pandemic Psychology

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N. Pontus Leander, Edward P. Lemay, Bertus F. Jeronimus, Anita C. Keller et al.

Journal: University of Groningen research database (University of Groningen / Centre for Information Technology)Year: 2020Citations: 4

The PsyCorona collaboration is a research project to examine processes involved in the COVID-19 pandemic, such as behavior that curbs virus transmission, which may implicate social norms, cooperation, and self-regulation. The study also examines psychosocial consequences of physical distancing strat...

Social SciencesPsychologySocial Psychology
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Bangla Emergency Post Classification on Social Media using Transformer Based BERT Models

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Alvi Ahmmed Nabil, Dola Das, Md. Shahidul Salim, Shamsul Arifeen et al.

Year: 2023Citations: 3

Text classification is one of the most important tasks in Natural Language Processing. As text data is growing rapidly, it needs more computational power to classify the text in a big dataset. The task is difficult for characteristic-rich languages like Bangla. Having good-quality text data signific...

Physical SciencesComputer ScienceArtificial Intelligence
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An Anonymity Retaining Framework for Multi-party Skyline Queries Based on Unique Tags

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Dola Das, Kazi Md. Rokibul Alam, Yasuhiko Morimoto

Journal: IEEE Transactions on Dependable and Secure ComputingYear: 2023Citations: 3

While finding out dominant objects over multiple competing parties’ sensitive datasets via multi-party skyline queries (MSQs), upholding ample data privacy with integrity, data and data owners’ (i.e., parties) anonymity, verifiable deeds of entities, the robustness of framework, etc., is crucial. Th...

Physical SciencesComputer ScienceArtificial Intelligence
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