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3,114 results on '"Rahman, Md Mizanur"'

4. Evaluation of Pavement Performance for Three Different Designs on the Expansive Subgrade: Three Case Studies

Author

Shrestha, Sagun, Rahman, Md Mizanur, Karim, Md Rajibul, Nguyen, Hoang Bao Khoi, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Rujikiatkamjorn, Cholachat, editor, Xue, Jianfeng, editor, and Indraratna, Buddhima, editor

Published
2025
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5. Short-Term Thornthwaite Moisture Index (TMI) for Australian Climate

Author

Devkota, Bikash, Karim, Md Rajibul, Rahman, Md Mizanur, Nguyen, Hoang Bao Khoi, Zapata, Claudia, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Rujikiatkamjorn, Cholachat, editor, Xue, Jianfeng, editor, and Indraratna, Buddhima, editor

Published
2025
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11. CTC together with Shh and Nrf2 are prospective diagnostic markers for HNSCC

Author

Rahman, Md. Mizanur, Hossain, Muhammad Mosaraf, Islam, Shafiqul, Ahmed, Ridwan, Majumder, Mohit, Dey, Shantu, Kawser, Md., Sarkar, Bishu, Himu, Md. Ejajur Rahman, Chowdhury, Ali Asgar, Ahmed, Shakera, Biswas, Supran, Anwar, Mostafa Mahfuzul, Hussain, Mohammad Jamal, Kumar Shil, Rajib, Baidya, Sunanda, Parial, Ramendu, Islam, Mohammed Moinul, Bharde, Atul, Jayant, Sreeja, Aland, Gourishankar, Khandare, Jayant, Uddin, Shaikh Bokhtear, and Noman, Abu Shadat Mohammod

Published
2024
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12. Role of Microorganisms in Soil Health Management

Author

Khanam, Mariam, Kabir, Md. Humayun, Akter, Mahmuda, Rahman, G. K. M. Mustafizur, Rahman, Md. Mizanur, Mina, Krishan Kant, Alam, Mohammad Saiful, Rahman, Md. Mizanur, editor, Biswas, Jatish Chandra, editor, and Meena, Ram Swaroop, editor

Published
2024
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19. Introduction to Mechatronics

Author

Farhan, Ahmed, Barua, Protik, Saleheen, Rezwan Us, Tasnim, Rumana, Rahman, Md. Mizanur, Rahman, Mustafizur, Azizi, Aydin, Series Editor, Rahman, Md. Mizanur, editor, Mahbub, Farhan, editor, Tasnim, Rumana, editor, and Saleheen, Rezwan Us, editor

Published
2024
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20. Conclusion and Future Trends of Mechatronics

Author

Rahman, Mustafizur, Rahman, Md. Mizanur, Sohel, M. R., Farhan, Ahmed, Huq, Enamul, Mahbub, Farhan, Azizi, Aydin, Series Editor, Rahman, Md. Mizanur, editor, Mahbub, Farhan, editor, Tasnim, Rumana, editor, and Saleheen, Rezwan Us, editor

Published
2024
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26. Investigating Dhaka-Khulna (N8) Expressway Commuters’ Perceptions on Travel Mode Choice Activity Patterns: Using Multinomial Logistic Regression Model

Author

Nur, B. M. Assaduzzaman, Shoulin, Shayeda, Hossain, Md. Shibber, Rahman, Md. Mizanur, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Alam, M. Shahria, editor, Hasan, G. M. Jahid, editor, Billah, A. H. M. Muntasir, editor, and Islam, Kamrul, editor

Published
2024
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28. Computational Geometric and Discrete Fourier Series Approaches for Particle Shape Analysis

Author

Le, Trung-Tri, Nguyen, Hoang Bao Khoi, Rahman, Md. Mizanur, Karim, Md. Rajibul, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Reddy, J. N., editor, Luong, Van Hai, editor, and Le, Anh Tuan, editor

Published
2024
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31. Characterizing freshwater macroinvertebrates of Bangladesh using metagenetic techniques

Author

Rahman, Md Mizanur and Vogler, Alfried

Abstract

The degradation of freshwater ecosystems has become a global concern, in particular, the critical conditions of rivers in Bangladesh demand a monitoring programme through the assessment of bioindicator organisms. Macroinvertebrates as prominent bioindicators are widely used for assessing the health of aquatic ecosystems. Recent technological advances have enabled routine assessment with the genomic characterization of macroinvertebrates using different metagenetic techniques such as DNA barcoding for individual specimen identification, metabarcoding for multi-species identification of bulk samples and mitochondrial metagenomics for extraction of mitogenomes from mixed samples. In this thesis, I commence by generating Cytochrome Oxidase subunit (COI) barcodes for Bangladeshi freshwater macroinvertebrates belonging to the Ephemeroptera, Plecoptera, Trichoptera, Coleoptera, Hemiptera, Odonata, Diptera, Gastropoda and Bivalvia. These barcodes can be used as a DNA reference library for species identification in metabarcoding of macroinvertebrates. I also aim for exploring complete mitogenomes from selected macroinvertebrates using a mitochondrial metagenomic pipeline. I carry out phylogenetic analysis with protein-coding genes that reveals the evolutionary relationship of Bangladeshi macroinvertebrate lineages and also support deeper level identification of barcodes placing them into the phylogenetic tree (chapter 2). In chapter 3, I assess some methodological aspects of the metabarcoding pipeline required for diversity estimation from complex bulk samples of macroinvertebrates in large-scale biomonitoring programmes. These include preparation of bulk macroinvertebrate samples, optimization of the procedure of homogenization of samples required for DNA extraction, strategies for DNA pooling from these extracts, choice of robust universal primers, and viable OTU clustering for reliable diversity estimation. The results have implications for the optimization and standardization of these steps in metabarcoding of freshwater macroinvertebrates. In chapter 4, I apply the metabarcoding technique to establish the macroinvertebrate diversity and impact of various types of anthropogenic disturbances on the freshwater macroinvertebrates in highland and lowland rivers. The results document high diversity, local endemicity and pronounced responses to disturbance in largely unexplored but threatened habitats of Bangladesh. My investigations manifest the viability of metagenetic techniques for applied conservation management as a step towards building a biomonitoring system in freshwater ecosystems globally.

Published
2023
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32. MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves

Author

Ahmed, Sarder Iftekhar, Ibrahim, Muhammad, Nadim, Md., Rahman, Md. Mizanur, Shejunti, Maria Mehjabin, Jabid, Taskeed, and Ali, Md. Sawkat

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Agriculture is of one of the few remaining sectors that is yet to receive proper attention from the machine learning community. The importance of datasets in the machine learning discipline cannot be overemphasized. The lack of standard and publicly available datasets related to agriculture impedes practitioners of this discipline to harness the full benefit of these powerful computational predictive tools and techniques. To improve this scenario, we develop, to the best of our knowledge, the first-ever standard, ready-to-use, and publicly available dataset of mango leaves. The images are collected from four mango orchards of Bangladesh, one of the top mango-growing countries of the world. The dataset contains 4000 images of about 1800 distinct leaves covering seven diseases. Although the dataset is developed using mango leaves of Bangladesh only, since we deal with diseases that are common across many countries, this dataset is likely to be applicable to identify mango diseases in other countries as well, thereby boosting mango yield. This dataset is expected to draw wide attention from machine learning researchers and practitioners in the field of automated agriculture.

Published
2022

33. Effects of MAC Parameters on the Performance of IEEE 802.11 DCF in NS-3

Author

Siddik, Md. Abubakar, Nitu, Jakia Akter, Islam, Natasha, Hasi, Most. Anju Ara, Ferdous, Jannatun, Rahman, Md. Mizanur, and Sultan, Md. Nahid

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Performance
Abstract

This paper presents the design procedure of the NS-3 script for WLAN that is organized according to the hierarchical manner of TCP/IP model. We configure all layers by using NS-3 model objects and set and modify the values used by objects to investigate the effects of MAC parameters (access mechanism, CWmin, CWmax and retry limit) on the performance metrics viz. packet delivery ratio, packet lost ratio, aggregated throughput, and average delay. The simulation results show that RTS/CTS access mechanism outperforms basic access mechanism in saturated state, whereas the MAC parameters have no significant impact on network performance in non-saturated state. A higher value of CWmin improves the aggregated throughput in expense of average delay. The tradeoff relationships among the performance metrics are also observed in results for the optimal values of MAC parameters. Our design procedure represents a good guideline for new NS-3 users to design and modify script and results greatly benefit the network design and management., Comment: 20 pages

Published
2022

38. Management and Maintenance of Textile Machinery

Author

Shamsuzzaman, Md., Mashud, Mohammad, Rahman, Md. Mizanur, Rahman, Md. Mostafizur, Hoq, Enamul, Das, Dip, Muthu, Subramanian Senthilkannan, Series Editor, Rahman, Md. Mizanur, editor, Mashud, Mohammad, editor, and Rahman, Md. Mostafizur, editor

Published
2023
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47. Vaccine efficacy and SARS CoV 2 control in California and USA during the session 2020 2026: A modeling study

Author

Mahmud, Md. Shahriar, Kamrujjaman, Md., Adan, Md. Mashih Ibn Yasin, Hossain, Md. Alamgir, Rahman, Md. Mizanur, Islam, Md. Shahidul, Mohebujjaman, Muhammad, and Molla, Md. Mamun

Subjects
Quantitative Biology - Populations and Evolution, 92D25, 92D30, 97M60, 97M99
Abstract

Besides maintaining health precautions, vaccination has been the only prevention from SARS-CoV-2, though no clinically proved 100% effective vaccine has been developed till date. At this stage, to withhold the debris of this pandemic, experts need to know the impact of the vaccine efficacy rate's threshold and how long this pandemic may extent with vaccines that have different efficacy rates. In this article, a mathematical model study has been done on the importance of vaccination and vaccine efficiency rate during an ongoing pandemic. We simulated a five compartment mathematical model to analyze the pandemic scenario in both California, and whole U.S. We considered four vaccines, Pfizer, Moderna, AstraZeneca, and Johnson and Johnson, which are being used rigorously to control the COVID-19 pandemic, in addition with two special cases: a vaccine with 100% efficacy rate and no vaccine under use. Both the infection and death rates are very high in California. Our model suggests that the pandemic situation in California will be under control in the last quartile of the year 2023 if frequent vaccination is continued with the Pfizer vaccine. During this time, six waves will happen from the beginning of the immunization where the case fatality and recovery rates will be 1.697% and 98.30%, respectively. However, according to the considered model, this period might be extended to the mid of 2024 when vaccines with lower efficacy rates are used. The more effective a vaccine, the less people suffer from this malign infection. Although specific groups of people get prioritized initially, mass vaccination is needed to control the spread of the disease.

Published
2021

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