DIU Institutional Repository: Recent submissions

  • Growing Crystals and Studying Structure and Electronic Properties of Cu2ZnGe(SхSe1-x)4 Compositions 
    Bodnar, Ivan V.; Khoroshko, Vitaly V.; Yashchuk, Veronika A.; Gremenok, Valery F.; Kazi, Mohsin; Khandaker, Mayeen U.; Abid, Abdul G.; Zubar, Tatiana I.; Tishkevich, Daria I.; Trukhanov, Alex V.; Trukhanov, Sergei V. (Elsevier, 2023-11-18)
    Single crystals of Cu2ZnGeSe4 and Cu2ZnGeS4 solid solutions were developed and successfully obtained using the chemical vapor transfer method, with iodine acting as a transporter. The structure, compositional dependences ...
  • Greenhouse Gas Emission, GDP, Tertiary Education, and Rule of Law 
    Furkan, Hamed Bin; Hasan, Kazi Md Rakibul; Uddin, Md Jamal (Elsevier, 2023-05-20)
    Global climate change is a pressing concern, particularly in underdeveloped countries. Because greenhouse gases are a key cause of climate change and economic growth is tied to emissions. The study aimed to determine how ...
  • Green Entrepreneurship in Saudi Arabia: Shaping the Landscape of the Greener Economy 
    Abdelwahed, Nadia A. Abdelmegeed; Doghan, Mohammed A. Al; Saraih, Ummi Naiemah; Soomro, Bahadur Ali (Emerald Publishing Limited, 2023-09-21)
    "Purpose Entrepreneurship is one of the pillars of economic development and helps to green the economy. This study investigates the factors that affect green entrepreneurship (GE) in small- and medium-sized enterprises ...
  • Graphene-Like Emerging 2D Materials: Recent Progress, Challenges and Future Outlook 
    Uddin, Md. Mohi; Kabir, Mohammad Humaun; Ali, Md. Ashraf; Hossain, Md. Mukter; Khandaker, Mayeen Uddin; Mandal, Sumit; Arifutzzamane, A.; Jana, Debnarayan (The Royal Society of Chemistry, 2023-11-13)
    Owing to the unique physical and chemical properties of 2D materials and the great success of graphene in various applications, the scientific community has been influenced to explore a new class of graphene-like 2D materials ...
  • Graph Neural Network-Based Breast Cancer Diagnosis Using Ultrasound Images With Optimized Graph Construction Integrating the Medically Significant Features 
    Chowa, Sadia Sultana; Azam, Sami; Montaha, Sidratul; Payel, Israt Jahan; Bhuiyan, Md Rahad Islam; Hasan, Md. Zahid; Jonkman, Mirjam (MDPI Publications, 2023-11-20)
    Purpose An automated computerized approach can aid radiologists in the early diagnosis of breast cancer. In this study, a novel method is proposed for classifying breast tumors into benign and malignant, based on the ...
  • Government Initiatives for Enhancing Building Information Modeling Adoption in Saudi Arabia 
    Algahtany, Mohammed; Radz, Afiqah R.; Al-Mohammad, Mohammad S.; Rahman, Rahimi A. (MDPI Publications, 2023-10-22)
    Despite its numerous benefits, many countries are slow in adopting building information modeling (BIM). As a result, policymakers are implementing different government initiatives (GIs) for enhancing BIM adoption globally. ...
  • Glucopyranoside Derivatives as Potential Antimicrobial Agents 
    Islam, Sajia; Akash, Shopnil; Ferdous, Jannatul; Kumer, Ajoy; Al-Ghorbani, Mohammed; Baashen, Mohammed; Shbeer, Abdullah M.; Ageel, Mohammed; Chakma, Unesco; Hasan, Imtiaj; Rajia, Sultana; Fujii, Yuki; Ozeki, Yasuhiro; Kawsar, Sarkar M. A. (Trends in Carbohydrate Research, 2023-05-21)
    Methyl α-D-glucopyranoside and its seven acylated derivatives have been used to develop antibacterial and antifungal drugs by using in silico and in vitro antimicrobial functionality tests against five pathogenic bacteria ...
  • Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts using Natural Language Processing, to Understand People's Perspectives Regarding COVID-19 Omicron Subvariants XBB.1.5 and BF.7 
    shaji, roshan; Praveen Sv; Boby, Rosemol; Dhama, Kuldeep (Daffodil International University, 2023-03-02)
    Concerns about an increase in cases during the COVID-19 pandemic have been heightened by the emergence of a new Omicron subvariant XBB.1.5 that joined the previously reported BF.7 as a source of public health concern. ...
  • Globalization and Renewable Energy Use: How Are They Contributing to Upsurge the CO2 Emissions? A Global Perspective 
    Rehman, Abdul; Alam, Mohammad Mahtab; Ozturk, Ilhan; Alvarado, Rafael; Murshed, Muntasir; Işık, Cem; Ma, Hengyun (Springer Nature, 2023-09-05)
    The present study major aim was to examine the impact of globalization, economic growth, population growth, renewable energy usage and nuclear energy on CO2 emissions globally by taking the annual data varies from 1985 to ...
  • UAE university students’ experiences of virtual classroom learning during Covid 19 
    Islam, Monjurul; Mazlan, Nurul Hijja; Murshidi, Ghadah Al; Hoque, Mohammed Shamsul; Karthiga, S. V.; Reza, Mohoshin (Daffodil International University, 2023-02-07)
    Virtual Classroom (VC) learning approaches have recently drawn considerable attention because they have the potential to encourage student engagement to ensure active and collaborative learning. Although research on online ...
  • Ultrasonic technology as a non-thermal approach for processing of fruit and vegetable juices: a review 
    Mahmoud, Mustafa; Alelyani, Magbool; Ahmed, Amna Mohamed; Fagiry, Moram A.; Alonazi, Batil; Abdelbasset, Walid Kamal (Daffodil International University, 2023-04-19)
    By inducing thermal and chemical changes, ultrasonic technology can be used to refine fruit and vegetable juices. This review focuses on the most recent successes in the use of ultrasound in the processing of fruit and ...
  • Global Dynamics of a Two-Strain Disease Model with Amplification, Nonlinear Incidence and Treatment 
    Kuddus, Md Abdul; Paul, Anip Kumar (Springer Nature Limited, 2023-01-27)
    In recent years, antibiotic resistance to the most effective treatments has emerged and spread. This has led to a decline in the efficacy of antibiotics used to treat patients, with drug-resistant strain experiencing much ...
  • Fashion style analysis and recommendation using Machine Learning & Deep Learning 
    Khatun, Habiba (Daffodil International University, 2024-01-01)
    Fashion has always been an essential feature of our daily routine. It plays an important role in everyone's life. Today, the impact of deep learning on computer vision applications is increasing every day. Deep learning ...
  • Lung-Cancer stage prediction using Machine Learning Approach 
    Patwary, Md Abdus Salam (Daffodil International University, 2024-01-01)
    Physical illnesses like lung cancer have become more common nowadays. The world nowadays is aware of the subject. The disease known as lung cancer affects most individuals. A measure of the sickness is the variations in ...
  • Global Challenges in Identifying Plant Pathogenic Fungi: An Overview with Suggestions for the Way Forward 
    Dayarathne, Monika C.; Thambugala, Kasun M.; Daranagama, Dinushani A.; Mridha, Amin U.; Dissanayake, Asha J.; Dissanayake, Lakmali S.; Maharachchikumbura, Sajeewa S.N.; Rathnayake, RMCS; Lumyong, Saisamorn; Hongsanan, Sinang (Thai Journal Citation Index Centre, 2023-06-26)
    Fungal plant diseases are responsible for major crop and postharvest losses worldwide, with a signifi cant socio-economic impact on many individuals who depend on an agriculture-based economy. This review discusses the ...
  • Developed Uttar Nakshi high school dynamic website 
    Hemal, Ahnaf Shariar (Daffodil International University, 2024-01-01)
    The Uttar Nakshi High School Website is a complete and innovative platform designed to transform the teaching and administrative procedures of Uttar Nakshi High School. As a final year project, this web-based system was ...
  • Machine Learning Approach to Predict the Quality of Drinkable Water from Different Sources 
    Tuz Jahura, Fatema (Daffodil International University, 2024-01-01)
    Machine learning (ML) is revolutionizing the field of aquatic environment research by offering advanced tools for analyzing, classifying, and predicting data. This study delves into the use of ML algorithms, particularly ...
  • Web-based classification of brain tumor using deep learning 
    Al Noman, Abdullah (Daffodil International University, 2024-01-01)
    Classification of brain tumors is one of the most crucial jobs in medical imaging, and deep learning models have shown promising outcomes when it comes to automation. We provide a thorough analysis of three deep learning ...
  • Genus Amorphophallus: A Comprehensive Overview on Phytochemistry, Ethnomedicinal Uses, and Pharmacological Activities 
    Islam, Fahadul; Labib, Rafiuddin Khan; Zehravi, Mehrukh; Lami, Mashia Subha; Das, Rajib; Singh, Laliteshwar Pratap; Mandhadi, Jithendar Reddy; Balan, P.; Khan, Jishan; Khan, Sharuk L.; Nainu, Firzan; Nafady, Mohamed H.; Rab, Safia Obaidur; Emran, Talha Bin; Wilairatana, Polrat (MDPI Publications, 2023-11-23)
    The genus Amorphophallus belongs to the family Araceae. Plants belonging to this genus are available worldwide and have been used in traditional medicines since ancient times, mainly in Ayurveda and Unani medical practices. ...
  • Detection of tomato leaves disease using CNN deep learning 
    Shalauddin, Md. (Daffodil International University, 2024-01-01)
    The output of tomatoes has increased in Bangladesh in the past few years. In addition to its nutritional benefits, tomato cultivation is important for the employment of many people. However, several illnesses that affect ...

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