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Browsing DIU Faculty Publication by Title

Browsing DIU Faculty Publication by Title

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  • Monkeypox Virus Infection and Myocarditis: A Review of Current Evidence and Possible Pathogenesis 
    Ahmed, Sirwan K.; Dabou, Eman A.; Abdelsamad, Shaimaa; Mohamed, Mona G.; Deepak Chandran; Chakraborty, Sandip; Emran, Talha B.; Dhama, Kuldeep (Narra Sains Indonesia in collaboration with Universitas Syiah Kuala, 2023-04-15)
    The recent spread of the monkeypox virus (MPXV), causing monkeypox (mpox), to non-endemic areas, and the atypical and unusual clinical manifestations observed during its 2022 outbreak has focused international interest on ...
  • Montmorillonite Modified Ni/Mg/Al Ternary Layered Double Hydroxide Nanoflowers With Enhanced Adsorption Features 
    Waheed, Tayyaba; Min, Pu; Uddin, Salah; Ahmad, Pervaiz; Khandaker, Mayeen Uddin; Haq, Sirajul; Al-Mugren, K.S.; Rehman, Fazalur; Akram, Bilal; Nazir, Sehrish (Elsevier, 2023-10-14)
    A hydrothermal technique was employed to synthesize Ni/Mg/Al ternary L.D.H.s modified with montmorillonite (NMA-MMT-LDHs). Many characterization methods, including X-ray diffraction (XRD), scanning electron microscopy ...
  • Morphological Structures and Self-Cleaning Properties of Nano-TiO2 Coated Cotton Yarn at Different Washing Cycles 
    Sallehudin, Mirra Edreena; Affandi, Nor Dalila Nor; Harun, Ahmad Mukifza; Alam, Mohammad Khursheed; Indrie, Liliana (MDPI Publications, 2023-12-21)
    Titanium dioxide (TiO2) has an extraordinary photocatalytic activity and it effectively provides self-cleaning properties for cotton products. With the presence of succinic acid, it helps the adherence of the TiO2 nanoparticles ...
  • Mosquito Repellent Fabric: Development and Characterization of Peppermint and Garlic Mixture Finish on Knitted Fabric To Examine Mosquito Repellency 
    Al Parvez, Abdullah; Hossain, Md. Jakir; Hossain, Md. Zabed; Sohan, Mohammad Sazzad Hossain; Hoque, Fariha; Ahsan, Md. Habibul; Hoque, Md. Saiful (Elsevier, 2023-05-03)
    Mosquito-repellent textiles are a part of protective textiles which help in protection from the species that are prone to cause diseases like malaria and dengue fever. This study explored the possibility of natural extract ...
  • Movement Stimulation through Social Media 
    Begum, Afsana; Hossain, Md. Alamgir; Tuhin, A.U. M.; Bhuiyan, Md. Fakrul Abedin (2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), IEEE, 2021-06-28)
    It is a very common matter that due to the huge popularity of social media, any matter around us, especially any movement, is greatly stimulated by the impact of social media. We can see a parallel contribution on Twitter, ...
  • Movie Recommendation System Using Machine Learning 
    Rahman, Saikat (Daffodil International University, 23-01-18)
    In today's incredibly busy environment, recommendation systems are becoming more and more crucial. The most frequently used areas for recommender systems are, among other things, books, news, articles, music, videos, and ...
  • MRI-Based Brain Tumor Classification Using Various Deep Learning Convolutional Networks and CNN 
    Saiful, Md.; Haider, Sakib; Rahman, S. M. Arafat; Reza, Nahid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer Nature, 2023-11-11)
    "Yearly, brain tumors cause many fatalities and a significant portion of these victims come from rural regions. However, beginning brain tumor diagnosis technology is not as effective as anticipated. We thus set out to ...
  • MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s Disease Prediction Through Machine Learning Classifiers 
    Loba, Jannatul; Mia, Md. Rajib; Mahmud, Imran; Mahi, Md. Julkar Nayeen; Whaiduzzaman, Md.; Ahmed, Kawsar (Springer Nature, 2023-08-31)
    Alzheimer’s disease (AD) is a neurological illness that worsens with time. The aged population has expanded in recent years, as has the prevalence of geriatric illnesses. There is no cure, but early detection and proper ...
  • Mucormycosis in the COVID-19 Environment 
    Sharma, Rohit; Kumar, Praveen; Rauf, Abdur; Chaudhary, Ashun; Prajapati, Pradeep Kumar; Emran, Talha Bin; Gonc, Clara Mariana; Lima, Clara Mariana Goncalves; Conte-Junior, Carlos Adam (Daffodil International University, 2022-07-18)
    The second wave of coronavirus disease 2019 (COVID-19) caused severe infections with high mortality. An increase in the cases of COVID-19-associated mucormycosis (CAM) was reported predominantly in India. Commonly present ...
  • Multi Categorical of Common Eye Disease Detect Using Convolutional Neural Network 
    Bitto, Abu Kowshir; Mahmud, Imran (Daffodil International University, 2022-06-28)
    Among the most important systems in the body is the eyes. Although their small stature, humans are unable to imagine existence without it. The human optic is safe against dust particles by a narrow layer called the ...
  • Multi-Analyte Detection Based on Integrated Internal and External Sensing Approach 
    Haider, Firoz; Mashrafi, Md.; Aoni, Rifat Ahmmed; Haider, Rakib; Hossen, Moqbull; Ahmed, Tanvir; Mahdiraji, Ghafour Amouzad; Ahmed, Rajib (IEEE, 2021-08-31)
    Action recognition is one of the most important fields in computer vision. Hence, there is an open question of the high accuracy of complex background of human activities. A deep learning approach has recently been used ...
  • Multi-class Alzheimer's Disease Stage Diagnosis using Deep Learning Techniques 
    Jowti, Rowshan Ara; Nahid, Md. Aynul Hasan (IEEE, 2023-04-20)
    Alzheimer's disease (AD) is a type of dementia that affects thinking, behavior, and memory. Eventually, symptoms become serious enough to interfere with daily activities of a patient. Older people are typically affected ...
  • A Multi-layer Cryptosystem for Secure Data Transmission Using PRNG 
    Islam, Md. Ashiqul; Md. Shourov, Sarker; Hossen, Md. Sagar; Mridul, Aunik Hasan; Hasib, Md. Abdul; Jabiullah, Md. Ismail (IEEE, 2020-12)
    Nowadays the usage of the Internet is developing day by day. One of the largest uses of the internet is to transfer data from different sources to different states. During data transfer over the internet, a major issues ...
  • Multi-Trait Selection of Quinoa Ideotypes at Different Levels of Cutting and Spacing 
    Ahmed, Syed Riaz; Ali, Zeba; Ijaz, Iram; Khan, Zafran; Gul, Nimra; Pervaiz, Soha; Alharby, Hesham F.; Tan, Daniel K. Y.; Tariq, Muhammad Sayyam; Ghaffar, Maria; Bibi, Amir; Hakeem, Khalid Rehman (MDPI Publications, 2023-07-24)
    Climate change has affected the food supply chain and raised serious food concerns for humans and animals worldwide. The present investigation aimed to assess the effect of environmental factors along with three different ...
  • Multiclass Brain Tumor Recognition Using Convolutional Neural Network 
    Jony, Jahid Hasan; Nahid, Md. Aynul Hasan; Jahan, Nusrat; Raza, Dewan Mamun (IEEE, 2023-11-23)
    The diagnosis of brain tumors is a tough endeavor that can benefit from computer vision techniques. This study examines the performance of four multiclass brain tumor identification algorithms utilizing magnetic resonance ...
  • Multicore Bi-layer Gold-coated SPR-based Sensor for Simultaneous Measurements of CFC and HCFC 
    Jabin, Md. Asaduzzaman; Ahmed, Kawsar; Rana, Md. Juwel; Paul, Bikash Kumar; Dhasarathan, Vigneswaran; Uddin, Muhammad Shahin (2019)
    Global warming is an alarming issue in our daily life. As we know that CFCs and HCFCs have a great impact on ozone depletion and global warming process. So, there must be a cheaper way to detect CFCs and HCFCs from refrigerant ...
  • Multidimensional Chromatography and Its Applications in Food Products, Biological Samples and Toxin Products 
    Amin, Ruhul; Alam, Faruk; Dey, Biplab Kumar; Mandhadi, Jithendar Reddy; Emran, Talha Bin; Khandaker, Mayeen Uddin; Saf, Sher Zaman (Scopus, 22-10-24)
    Food, drugs, dyes, extracts, and minerals are all made up of complex elements, and utilizing unidimensional chromatography to separate them is inefficient and insensitive. This has sparked the invention of several linked ...
  • Multidrug Resistance in Cancer 
    Emran, Talha Bin; Shahriar, Asif; Mahmud, Aar Rafi; Rahman, Tanjilur; Abir, Mehedy Hasan; Siddiquee, Mohd. Faijanur - Rob; Ahmed, Hossain; Rahman, Nova; Nainu, Firzan; Wahyudin, Elly; Mitra, Saikat; Dhama, Kuldeep; Habiballah, Mahmoud M.; Haque, Shafiul; Islam, Ariful; Hassan, Mohammad Mahmudul (Daffodil International University, 2022-06-23)
    Cancer is one of the leading causes of death worldwide. Several treatments are available for cancer treatment, but many treatment methods are ineffective against multidrug-resistant cancer. Multidrug resistance (MDR) ...
  • The Multifaceted Role of Curcumin in Advanced Nanocurcumin Form in the Treatment and Management of Chronic Disorders 
    Tagde, Priti; Tagde, Pooja; Islam, Fahadul; Tagde, Sandeep; Shah, Muddaser; Hussain, Zareen Delawar; Rahman, Md. Habibur; Najda, Agnieszka; Alanazi, Ibtesam S.; Germoush, Mousa O.; Mohamed, Hanan R. H.; Algandaby, Mardi M.; Nasrullah, Mohammed Z.; Kot, Natalia; Abdel-Daim, Mohamed M. (Molecules, 2021-11-24)
    Curcumin is the primary polyphenol in turmeric’s curcuminoid class. It has a wide range of therapeutic applications, such as anti-inflammatory, antioxidant, antidiabetic, hepatoprotective, antibacterial, and anticancer ...
  • Multifaceted Role of Natural Sources for COVID-19 Pandemic As Marine Drugs 
    Rahman, Md. Mominur; Islam, Md. Rezaul; Shohag, Sheikh; Hossain, Md. Emon; Shah, Muddaser; shuvo, Shakil khan; Khan, Hosneara; Chowdhury, Md. Arifur Rahman; Bulbul, Israt Jahan; Hossain, Md. Sarowar; Sultana, Sharifa; Ahmed, Muniruddin; Akhtar, Muhammad Furqan; Saleem, Ammara; Rahman, Md. Habibur (Daffodil International University, 2022-05-26)
    COVID-19, which is caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly spread over the world, posing a global health concern. The ongoing epidemic has necessitated the development ...

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