Articles: Recent submissions

  • Determinants of Women’s Entrepreneurial Performance: Evidence From Bangladesh 
    Akhter, Ayeasha; Ali, Mohammed Julfikar; Tanchi, Khadiza Rahman; Latif, Wasib Bin; Karim, Md. Mobarak (Business Perspectives Publications, 2023-03-14)
    Women entrepreneurship has been gaining a prominent awareness among policymak- ers in contemporary economics, as it can hasten the rate of technological advancement and economic progress. The objective of this study is to ...
  • Determinants of Financial Inclusion in South Asia 
    Hossain, Md. Kamrul; Mahfuz, Tajmary; Latif, Subhenur; Hossain, Mohamed Emran (Emerald Publishing Limited, 2022-03-17)
    To identify the financial stress and associate factors of tertiary level student. Design/methodology/approach To identify the financial stress and associate factors, a structured questionnaire was developed to collect ...
  • X-ray fluorescence analysis of coastal sediments of Tamil Nadu with a statistical approach 
    Karthikayini, S.; Hamideen, Mefleh S.; Chandrasekaran, A.; Khandaker, Mayeen Uddin; Bradley, D.A. (Daffodil International University, 2023-08)
    X-ray fluorescence spectroscopy is applied to determine the concentration of essential and toxic heavy metals such as silicon (Si), potassium (K), calcium (Ca), titanium (Ti), iron (Fe), copper (Cu), zinc (Zn), nickel (Ni), ...
  • Yellow fever virus, a mosquito-borne flavivirus posing high public health concerns and imminent threats to travellers - an update 
    Malik, Sumira; Pandey, Ishan; Kishore, Shristi; Sundarrajan, T; Nargund, Shachindra L; Ghosh, Arbinda; Emran, Talha Bin; Chaicumpa, Wanpen; Dhama, Kuldeep (Daffodil International University, 2023-02-01)
    Conflict of interest statement The authors declare that they have no financial conflict of interest with regard to the content of this report. Sponsorships or competing interests that may be relevant to content are ...
  • Z-Index at CheckThat! 2023: 
    Tarannum, Prerona; Hasan, Md. Arid; Alam, Firoj; Noori, Sheak Rashed Haider (Daffodil International University, 2023-08)
    "In this study, we report our participation in CheckThat! lab’s Task 1. The aim is to determine whether a claim made in either unimodal or multimodal content is worth fact-checking. We implemented standard preprocessing ...
  • Detection and Classification of Road Damage Using Deep Learning Approach with Smartphone Images 
    Shila, Sharmin; Bayshakhy, Fahima Taher; Sattar, Abdus (IEEE, 2023-11-23)
    In cities, road surface monitoring is mostly done by hand which is a time-consuming and labour-intensive procedure. One of the most critical responsibilities is infrastructure maintenance work for traffic safety. To keep ...
  • Detecting Helmets Of The Bike Riders Using Deep Learning Algorithms 
    Mia, Yousuf; Rahman, Md. Solaimanur; Basak, Animesh; Hossain, Sheikh Mufrad; Zulfiker, Md. Sabab (IEEE, 2023-07-23)
    We propose real-time bike helmet detection in our study. A lot of people ride bikes in our nation. Motorbikes are more popular than vehicles because they are cheaper to maintain, take up less parking space, and provide ...
  • Designing Optimum Drug Delivery Systems Using Machine Learning Approaches: a Prototype Study of Niosomes 
    Shahiwala, Aliasgar F; Qawoogha, Samar Salam; Faruqui, Nuruzzaman (Springer, 2023-04-03)
    This study demonstrates a machine learning approach in designing optimized drug formulations. Preferred Reporting Items for Systematic Reviews and Meta-Analyses system was adopted to screen literature resulting in 114 ...
  • Deep Learning Approach for Detecting and Localizing Brain Tumor From Magnetic Resonance Imaging Images 
    Arefin, Abu Shahed Shah Md. Nazmul; Ishti, Shah Mohd Ishtiaque Ahammed Khan; Akter, Mst. Marium; Jahan, Nusrat (Institute of Advanced Engineering and Science (IAES), 2023-03-15)
    Brain is the most important part of the nervous system. Brain tumor is mainly a mass or growth of abnormal tissues in a brain. Early detection of brain tumor can reduce complex treatment process. Magnetic resonance images ...
  • Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2 
    Islam, M.A.; Rahman, M.M.; Shohan, A.A.; Pulok, R.A.; Akter, S.; Ahmed, M.T. (Elsevier, 2023-10-21)
    South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide more than 40 percent of the world's ...
  • Deep Learning-Based Left Ventricular Ejection Fraction Estimation from Echocardiographic Videos 
    S., Rahman; B.D., Parameshachari; Haque R.; Swapno, Masfequier Rahman; S.M.N., Nobel; M., Babul Islam (Elsevier, 2023-10-21)
    Heart failure (HF) is a prevalent and life-threatening medical condition afflicting millions of people worldwide. A critical parameter in assessing cardiac function and detecting HF is the left ventricular ejection fraction ...
  • Determinants of Financial Inclusion in South Asia: The Moderating and Mediating Roles of Internal Conflict Settlement 
    Murshed, Muntasir; Ahmed, Rizwan; Al-Tal, Raad Mahmoud; Kumpamool, Chamaiporn; Vetchagool, Witchulada; Avarado, Rafael (IEEE, 2023-01-09)
    Financial inclusion is recognized as a key enabler of the 2030 Sustainable Development Goals agenda of the United Nations. Hence, this study investigates the impacts of internal conflicts, economic growth, information and ...
  • Determinants of Electric Car Patronage Intention 
    Aravindan, Kalisri Logeswaran; Izzat, Muhammad Aiman; Ramayah, Thurasamy; Chen, Thing Soong; Choong, Yap Voon; Annamalah, Sanmugam; Ilhavenil, Narinasamy; Ahmad, Arman Bin (Institute of Electrical and Electronics Engineers Inc., 2023-10-31)
    "Electric vehicles have been popularized as an environmentally friendly alternative to fuel-based transportation. The Malaysian government and vehicle manufacturers have encouraged the adoption of electric cars, yet ...
  • Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia 
    Zakaria, Muhammad; Islam, Muhammad Aminul; Islam, Md Khadimul; Begum, Aklima; Poly, Nahida Akter; Cheng, Feng; Xu, Junfang (Frontier Scientific Publishing, 2023-05-02)
    "Objectives The aims are to explore the factors influencing Bangladeshi patients' decision-making process and their satisfaction level toward medical tourism in India. Methods The study used a quantitative research approach ...
  • Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia 
    Mir, Imtiyaz Ali; Ng, Shang Kuan; Jamali, Muhammad Noh Zulfikri Mohd; Jabbar, Mohammed AbdulRazzaq; Humayra, Syeda (PLOS ONE, 2023-01-20)
    "Background: Young adults, particularly university students might be at greater risk of developing psychological distress, and exhibiting symptoms of anxiety and depression during the COVID-19 pandemic. The primary objective ...
  • Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier 
    Mahmud, S M Hasan; Ali, Md Mamun; Shahriar, Mohammad Fahim; Al-Zahrani, Fahad Ahmed; Ahmed, Kawsar; Nandi, Dip; Bui, Francis M. (Tech Science Press, 2023-10-08)
    Alzheimer’s disease (AD) is a neurodevelopmental impairment that results in a person’s behavior, thinking, and memory loss. The most common symptoms of AD are losing memory and early aging. In addition to these, there ...
  • Detection and Counter Measure of Packet Misrouting by GPS-Free Positioning of Ad-Hoc Nodes 
    Sathianesan, Godfrey Winster; S. Gnanavel; R. Salini; V. Raji; Anand, R. Vijay; Uddin, Md Salah (Hindawi Publications, 2023-04-19)
    The ad-hoc networks are a developing area of research with a large and wide variety of applications and related requirements. The nodes participating in an ad-hoc network use different routing protocols to send their packets ...
  • Detecting Tomato Leaf Diseases by Image Processing Through Deep Convolutional Neural Networks 
    Hossain, Md. Iqbal; Jahan, Sohely; Asif, Md. Rashid Al; Samsuddoha, Md.; Ahmed, Kawsar (Elsevier, 2023-08-22)
    Machine Learning (ML) and Deep Learning (DL) have already brought unprecedented success in the detection of various diseases of plant leaves, fruits, buds, flowers, etc. Besides, computer science and related field researchers ...
  • Designing of SiO2 Mesoporous Nanoparticles Loaded With Mometasone Furoate for Potential Nasal Drug Delivery 
    Mehmood, Yasir; Shahid, Hira; Barkat, Kashif; Ibraheem, Muhammad; Riaz, Humayun; Badshah, Syed Faisal; Chopra, Hitesh; Sharma, Rohit; Nepovimova, Eugenie; Kuca, Kamil; Valis, Martin; Emran, Talha Bin (Frontier Scientific Publishing, 2023-01-06)
    The main objective of the current research work was to synthesize mesoporous silica nanoparticles for controlled delivery of mometasone furoate for potential nasal delivery. The optimized sol–gel method was used for the ...
  • Designing a Sustainable E-Waste Management Framework for Bangladesh 
    Ahsan, Mobassir; Yousuf, Mahfuza; Rahman, Md. Saifur; Proma, Farhana Islam; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2022-10-21)
    The main goal of this paper is to research and design a sustainable framework to deal with the E-Waste problem in Bangladesh. E-waste is currently one of the biggest problems in Bangladesh. But there are yet to be any ...

Search DSpace


Browse

My Account