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Muhammad Nazrul Islam

Showing results (21-30 of 36) with videos related to

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IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
A Review on the Mobile Applications Developed for COVID-19: An Exploratory AnalysisMuhammad Nazrul Islam, Iyolita Islam, Kazi Md Munim, et al.
Engineering Reports : Open Access|October 17, 2022
Leveraging machine learning to analyze sentiment from COVID-19 tweets: A global perspectiveMd Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H Sarker, et al.
Tropical Animal Health and Production|December 20, 2024
Impact of synbiotic on growth performance, histo-architectural modulation of lymphoid organ, hematology, blood biochemistry and humoral immune response in naked neck chickenHemayet Hossain, Harimurti Nuradji, Mohammad Yousuf Miah, et al.
BMC Medical Informatics and Decision Making|February 5, 2020
Investigating usability of mobile health applications in BangladeshMuhammad Nazrul Islam, Md Mahboob Karim, Toki Tahmid Inan, et al.
Plos One|June 6, 2024
Proximal tubular dysfunction as a predictor of AKI in Hospitalized COVID-19 patientsAmit Bari, Muhammad Rafiqul Alam, Sumona Islam, et al.
BMC Health Services Research|February 20, 2025
Identifying key indicators to develop a novel mobile application for early screening of postpartum depression in developing countriesSumaiya Nuha Mustafina, Muhammad Nazrul Islam, Mohammad Ratul Mahjabin, et al.
Data in Brief|June 27, 2025
SPAS-Dataset-BD: Dataset for smart precision agriculture system in BangladeshRup Chowdhury, Fernaz Narin Nur, Muhammad Nazrul Islam, et al.
Data in Brief|June 22, 2026
ShilpoBangla: A dataset of Bangladeshi cultural product images with alternative texts in Bangla and EnglishS M Nafis Ahmed, Syed Nafees Kaiser, Fernaz Narin Nur, et al.
IEEE Transactions on Artificial Intelligence|July 5, 2022
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 PandemicMuhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, et al.
BMC Health Services Research|February 21, 2023
Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseasesMuhammad Nazrul Islam, Kazi Rafid Raiyan, Shutonu Mitra, et al.
Pageof 4

Showing results (21-30 of 36) with videos related to

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Pageof 4
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
A Review on the Mobile Applications Developed for COVID-19: An Exploratory AnalysisMuhammad Nazrul Islam, Iyolita Islam, Kazi Md Munim, et al.
Engineering Reports : Open Access|October 17, 2022
Leveraging machine learning to analyze sentiment from COVID-19 tweets: A global perspectiveMd Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H Sarker, et al.
Tropical Animal Health and Production|December 20, 2024
Impact of synbiotic on growth performance, histo-architectural modulation of lymphoid organ, hematology, blood biochemistry and humoral immune response in naked neck chickenHemayet Hossain, Harimurti Nuradji, Mohammad Yousuf Miah, et al.
BMC Medical Informatics and Decision Making|February 5, 2020
Investigating usability of mobile health applications in BangladeshMuhammad Nazrul Islam, Md Mahboob Karim, Toki Tahmid Inan, et al.
Plos One|June 6, 2024
Proximal tubular dysfunction as a predictor of AKI in Hospitalized COVID-19 patientsAmit Bari, Muhammad Rafiqul Alam, Sumona Islam, et al.
BMC Health Services Research|February 20, 2025
Identifying key indicators to develop a novel mobile application for early screening of postpartum depression in developing countriesSumaiya Nuha Mustafina, Muhammad Nazrul Islam, Mohammad Ratul Mahjabin, et al.
Data in Brief|June 27, 2025
SPAS-Dataset-BD: Dataset for smart precision agriculture system in BangladeshRup Chowdhury, Fernaz Narin Nur, Muhammad Nazrul Islam, et al.
Data in Brief|June 22, 2026
ShilpoBangla: A dataset of Bangladeshi cultural product images with alternative texts in Bangla and EnglishS M Nafis Ahmed, Syed Nafees Kaiser, Fernaz Narin Nur, et al.
IEEE Transactions on Artificial Intelligence|July 5, 2022
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 PandemicMuhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, et al.
BMC Health Services Research|February 21, 2023
Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseasesMuhammad Nazrul Islam, Kazi Rafid Raiyan, Shutonu Mitra, et al.
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