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  • Hasan, Nahid; Hasan, Tanzila; Hossain, Shahadat; Hasan, Md. Manzurul (Springer Nature Limited, 2023-06-11)
    Rice false smut (RFS) is the most severe grain disease affecting rice agriculture worldwide. Because of the various mycotoxins produced by the causal pathogen, Villosiclava virens, epidemics result in yield loss and poor ...
  • Haque, Md Imdadul; Ullah, Abu Naser Zafar; Akter, Tasnim; Chowdhury, ABM Alauddin; Mamun, Abdullah Al; Tamanna, Tabassum Islam; Hossain, Md Kamrul; Khan, Hafiz Ta; Harun, Md Golam Dostogir (BMJ Open, 2020)
    Objectives Children, pregnant women and the elderly at a global level are all being dangerously exposed to tobacco use in the household (HH). However, there is no understanding of the familial and socio-cultural factors ...
  • Murad, Mohammad Hassan; Fatema, Saba (Springer, 2012-10-27)
    This paper presents a new family of interior solutions of Einstein–Maxwell field equations in general relativity for a static spherically symmetric distribution of a charged perfect fluid with a particular form of charge ...
  • Murad, Mohammad Hassan; Fatema, Saba (Springer, 2012-12-18)
    This paper presents a family of two-parametric interior solutions of Einstein–Maxwell field equations in general relativity for a static spherically symmetric distribution of a charged perfect fluid with particular form ...
  • Akhtar, Rulia; Masud, Muhammad Mehedi; Rahma, Muhammad Khalilur (Daffodil International University, 2022-01-19)
    Purpose – The purpose of this study is to analyze the economic, social and environmental impacts of climate change on farmers’ livelihoods and adaptive capacity while highlighting specific adaptation strategies in the local ...
  • Chakraborty, Samit; Hoque, Md. Saiful; Jeem, Naimur Rahman; Biswas, Manik Chandra; Bardhan, Deepayan; Lobaton, Edgar (Informatics, 2021-07-26)
    In recent years, the textile and fashion industries have witnessed an enormous amount of growth in fast fashion. On e-commerce platforms, where numerous choices are available, an efficient recommendation system is required ...
  • Arndt, Channing; Arent, Doug; Hartley, Faaiqa; Merven, Bruno; Mondal, Alam Hossain (Annual Review of Resource Economics, 2019-10)
    Since 2007, large and unexpected declines in generation costs for renewable energy systems, particularly solar but also wind, combined with policy measures designed to limit greenhouse gas emissions, have created a paradigm ...
  • Arndt, Channing; Arent, Doug; Hartley, Faaiqa; Merven, Bruno; Mondal, Alam Hossain (Annual Review of Resource Economics, 2019-10)
    Since 2007, large and unexpected declines in generation costs for renewable energy systems, particularly solar but also wind, combined with policy measures designed to limit greenhouse gas emissions, have created a paradigm ...
  • Anika, Adrita; Junaed-Al-Hossain, Md.; Alam, Sk. Hasibul; Al-Masood, Nahid (2019 IEEE International Conference on Power, Electrical, and Electronics and Industrial Applications, IEEE, 2019-12-19)
    Fault analysis is an important consideration in power system planning, protection and overall system reliability assessment. When a fault occurs at some point in the network, normal operating conditions are upset; if the ...
  • Mitu, Sumaiya Akhtar; Dey, Dipak Kumar; Ahmed, Kawsar; Paul, Bikash Kumar; Luo, Yanhua; Zakaria, R.; Dhasarathan, Vigneswaran (Journal of Magnetism and Magnetic Materials, Elsevier Publications, 2020-01-15)
    This work proposes a novel magnetic field sensor based on nanoparticle ferrosoferric oxide (Fe3O4) magnetic fluid for different magnetic field strength from 100 Oe to 160 Oe. Investigations are performed to verify the ...
  • Ching, Siew-Mooi; Thurasamy, Ramayah; Cheong, Ai Theng; Yee, Anne; Ling, Poh Ying; Zarina, Irmi Ismail; Lee, Kai Wei; Ng, Jun Ying; Rahim, Rofina Abdul; Noor, Mohd Khairi Mohd; Cheng, Chang Li; Nazan, Ahmad Iqmer Nashriq Mohd; Salleh, Hafizah Md; Hassan, Noor Hasliza (Wolters Kluwer Health, Inc., 2023-07-15)
    Introduction: During the COVID-19 pandemic, healthcare providers have been in great fear due to the high risk of contracting COVID-19 infection at any time. This study aimed to determine the mediating role of resilience ...
  • Nuha, Nurjahan Amin; Injam, Md. Tanbir Siddik; Chowdhury, Nusrat (IEEE, 2023-03-21)
    In recent years, power generation based on renewable resources has grown increasingly significant as well as ecologically beneficial. This paper analyzed the viability of a hybrid renewable energy system on the isolated ...
  • Chowdhury, Nusrat; Hossain, Chowdhury Akram; Yaïci, Wahiba (Sustainability (Switzerland), 2020-02-19)
    In this progressing technological advancement world, hybrid systems for power generation is one of the most promising fields for any researcher. In this context, photovoltaic-biomass hybrid systems with off-grid applications ...
  • Chowdhury, Nusrat; Chowdhury, Akib; Akram Hossain, Chowdhury; Longo, Michela; Yaïci, Wahiba (IEEE, 2021)
    Bangladesh faces a tremendous energy shortage during the dry season. Agriculture is a very important part of Bangladesh and during the dry season this sector gets severe impact for the outage of electricity. To overcome ...
  • Chowdhury, Nusrat; Chowdhury, Akib; Hossain, Chowdhury Akram; Longo, Michela; Yaïci, Wahiba (Scopus, 2021)
    Bangladesh faces a tremendous energy shortage during the dry season. Agriculture is a very important part of Bangladesh and during the dry season this sector gets severe impact for the outage of electricity. To overcome ...
  • Subedi, Bharat; Sathishkumar, V. E.; Maheshwari, V.; Kumar, M. Sandeep; Jayagopal, Prabhu; Allayear, Shaikh Muhammad (Daffodil International University, 2022-07-21)
    As training deep neural networks enough requires a large amount of data, there have been a lot of studies to deal with this problem. Data augmentation techniques are basic solutions to increase training data using existing ...
  • Islam, Md. Shariful; Asaduzzaman, Md.; Rahman, Mohammad Masudur (1st International Conference on Advances in Science, Engineering and Robotics Technology, IEEE, 2019-05-05)
    With the advent of computational intelligence, the analysis of medical data using machine learning techniques benefits accurate classification of different health diseases and disorders. However, disorganization and ...
  • Zubar, Tatiana I.; Usovich, Tatsiana I.; Tishkevich, Daria I.; Kanafyev, Oleg D.; Fedkin, Vladimir A.; Kotelnikova, Anna N.; Panasyuk, Maria I.; Kurochka, Alexander S.; Nuriev, Alexander V.; Idris, Abubakr M.; Khandaker, Mayeen U.; Trukhanov, Sergei V.; Fedosyuk, Valery M.; Trukhanov, Alex V. (Daffodil International University, 22-08-25)
    NiFe films with a composition gradient are of particular interest from the point of view of fundamental science and practical applications. Such gradient magnetic structures may exhibit unique functional properties useful ...
  • Ahmed, Kawsar; Paul, Bikash Kumar; Jabin, Md. Asaduzzaman; Biswas, Bipul (Ceramics International, Elsevier, 2019-08)
    A novel D-shaped photonic crystal fiber (D-PCF) is proposed to concurrently achieve ultra-high nonlinearity, birefringence, and numerical aperture profile. Also, the model consists of a single core design with a series of ...
  • Shaheen, Sharif M.; Karim, S. M. Rezaul; Rahman, M. Mustafezur; Hossen, Md. Nazir (PharmacologyOnLine, 2018-08-30)
    In order to introduce de novo advanced anti-diabetic drug delivery system like polyethylene glycol (PEG)-8000 based suppositories containing metformin (a biguanide type of anti-diabetic drug) had been developed. Various ...

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