DIU Institutional Repository: Recent submissions

  • A Study Review of Neural Audio Speech Transposition over Language Processing 
    Khushbu, Sharun Akter; Ajmain, Moshfiqur Rahman; Rahman, Mahafozur; Noori, Sheak Rashed Haider (IEEE, 2023-04-17)
    Natural Language processing is the advancement of Artificial Intelligence in the modern technological era. Machine Translation this is the vast majority of languages transformation among human languages and computer ...
  • A Review on the Impacts of Social Media on the Mental Health 
    Tapu, Md. Abu Bakar Siddiq; Akash, Rashik Shahriar; Fahim, Hafiz Al; Jarin, Tanin Mohammad; Bhuiyan, Touhid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (IEEE, 2023-12-20)
    There are numerous effects of social media use on people’s daily lives. Every day we are connected a lot of time with social media. As a result, our brains become unbalanced, and we feel a lot of illness in our bodies. As ...
  • A Review on VANET Security: Future Challenges and Open Issues 
    Mahi, Md. Julkar Nayeen; Chaki, Sudipto; Humayun, Esraq; Imran, Hafizul; Barros, Alistair; Whaiduzzaman, Md. (Institute of Electrical and Electronics Engineers Inc., 2023-05-02)
    Vehicular Adhoc Network (VANET) is an established technology that is well-suited for emerging technologies such as the Internet of Vehicles (IoV) and Unmanned Aerial Vehicles (UAVs). However, while VANET offers improved ...
  • A Renewed Concept on Diabetic Retinopathy: Polyphenols as a Choice of Solution 
    Emran, Talha Bin; Haque, M. Akiful; Guntaka, Purnachandra Reddy; Singh, Laliteshwar Pratap; Khan, Mohd. Washid; Unnisa, Aziz; Nafady, Mohammed H.; Kazi, Aasim A.; Doukani, Koula; Nainu, Firzan (Biointerface research, 2021-04-07)
    Diabetic retinopathy (DR) is the widespread microvascular consequence of diabetes mellitus and the most common effect of blindness in people with diabetes. Existing drugs are only effective in advanced stages of DR, and ...
  • A Proposed Approach to Detect Traffic Signs by using Convolutional Neural Network 
    Rashid, Md. Mazbaur; Siddique, Shah Md. Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2023-08-01)
    It is very challenging to predict traffic signs by machine without human intervention. Accidents are becoming more frequent today as a result of improper direction. Automated assistance can reduce these mishaps. For the ...
  • A Policy Framework for Improving E-Waste Management in Bangladesh 
    Ananna, Sinthia Sarkar; Supty, Nishat Sultana; Shorna, Iffat Jahan; Reza, Ahmed Wasif (IEEE, 2022-10-21)
    This paper aims to show the importance of e-waste management techniques for environmental sustainability, proposing a policy framework for improving e-waste management in Bangladesh. E-waste is one of the world’s fastest-growing ...
  • A Novel Sedentary Workforce Scheduling Optimization Algorithm using 2nd Order Polynomial Kernel 
    Patel, Nikhil; Trivedi, Sandeep; Faruqui, Nuruzzaman (IEEE, 2023-04-05)
    No two humans are identical. There are variations in their capability, thinking process, and personality. That is why human society is diverse. This diversity is visible everywhere, including in office environments. The ...
  • A Novel Lightweight Lung Cancer Classifier through Hybridization of DNN and Comparative Feature Optimizer 
    Trivedi, Sandeep; Patel, Nikhil; Faruqui, Nuruzzaman (IEEE, 2023-05-25)
    The likelihood of successful early cancer nodule detection rises from 68% to 82% when a second radiologist aids in diagnosing lung cancer. Lung cancer nodules can be accurately classified by automatic diagnosis methods ...
  • A Novel Hybrid Evolutionary Mating Algorithm for Covid19 Confirmed Cases Prediction based on Vaccination 
    Ahmed, Marzia; Mohamad, Ahmad Johari; Rahman, Mostafijur; Sulaiman, Mohd Herwan; Kashem, Mohammod Abul (IEEE, 2023-05-01)
    Microorganisms may cause illness when they enter the body, multiply, and spread to other parts. The rapid spread of COVID-19 to neighboring countries is examined in this research. Anticipating a positive COVID-19 occurrence ...
  • The “Delta Plus” COVID-19 Variant Has Evolved To Become the Next Potential Variant of Concern 
    Rahman, Fahad Imtiaz; Ether, Sadia Afruz; Islam, Md. Rabiul (Walter de Gruyter GmbH, 2021-09-27)
    Since the first case of coronavirus disease 2019 (COVID-19) in Wuhan of Hubei province, China back in December 2019, waves of outbreak caused by the severe acute respiratory coronavirus 2 (SARS-CoV-2) have continued to ...
  • A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron 
    Aziz, Md. Tarek; Mahmud, S. M. Hasan; Elahe, Md. Fazla; Jahan, Hosney; Rahman, Md Habibur; Nandi, Dip; Smirani, Lassaad K.; Ahmed, Kawsar; Bui, Francis M.; Moni, Mohammad Ali (MDPI, 2023-06-18)
    Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise in H&E-stained (hematoxylin and eosin ...
  • A Novel Front Door Security (FDS) Algorithm Using GoogleNet-BiLSTM Hybridization 
    Paula, Luiz Paulo Oliveira; Faruqui, Nuruzzaman; Mahmud, Imran; Whaiduzzaman, Md.; Hawkinson, Eric Charles; Trivedi, Sandeep (IEEE, 2023-02-23)
    Security has always been a significant concern since the dawn of human civilization. That is why we build houses to keep ourselves and our belongings safe. And we do not hesitate to spend a lot on front-door locks and ...
  • A Non-Instrumental Green Analytical Method Based on Surfactant-Assisted Dispersive Liquid–Liquid Microextraction–Thin-Layer Chromatography–Smartphone-Based Digital Image Colorimetry(SA-DLLME-TLC-SDIC) for Determining Favipiravir in Biological Samples 
    Jain, Bharti; Jain, Rajeev; Jaiswal, Prashant Kumar; Zughaibi, Torki; Sharma, Tanvi; Kabir, Abuzar; Singh, Ritu; Sharma, Shweta (MDPI, 2023-01-05)
    Favipiravir (FAV) has become a promising antiviral agent for the treatment of COVID-19. Herein, a green, fast, high-sample-throughput, non-instrumental, and affordable analytical method is proposed based on surfactant-assisted ...
  • A New Insight on Tourism-Entrepreneurship Nexus 
    Rahman, Syed Abidur; Behnaz, Saboori; Taghizadeh, Seyedeh Khadijeh (Taylor & Francis Group, 2023-09-04)
    This study investigates the causality from Tourism Market Diversification (TMD) to entrepreneurial ecosystem and its sub-indexes (attitudes, abilities, and aspirations), across four sub-groups including high-rank, ...
  • A New Chaotic-Based Analysis of Data Encryption and Decryption 
    Johora, Fatema Tuj; -Ul-Islam, Alamin; Yesmin, Farzana; Rahman, Md. Mosfikur (Springer, 2023-05-14)
    Because the amount of exchange hypersensitive data via the Internet is growing at an exponential rate, network and data security have recently been the most pressing worry. On the subject of data security, many approaches ...
  • A Proposed Deep Learning Approach For Detecting Rice Leaf Disease 
    Bhuyan, Md Raju (Daffodil International University, 2024-01-29)
    Rice leaf diseases are a type of plant diseases affecting the leaves of rice crops, causing various kinds of crop damage. These diseases may have major financial effects, hurting both rice quality and production. Using ...
  • A Method for Bengali Author Detection Using State of the Arts Supervised Machine Learning Classifiers 
    Hamid, Md. Abdul; Marjana, Nusrat Jahan; Tumpa, Eteka Sultana; Khan, Md. Rafidul Hasan; Afroz, Umme Sanzida; Rahman, Md. Sadekur (Springer, 2023-09-15)
    Text classification is an important topic of study in the area of natural language Processing. To identify the authorship of the provided Bangla text, we create a model using the State of Arts Supervised method. Because ...
  • Study On Adoption M Payments System Using Smartpls 
    AZAD, A.S.M. SHAHORIA (Daffodil International University, 2024-01-29)
    Globally, mobile payment is becoming more and more popular as a substitute for cash, checks, and credit cards, both for individuals and businesses. The main goals of this research are to identify the key variables affecting ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...
  • A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer 
    Mridul, Aunik Hasan; Islam, Md. Jahidul; Asif, Asifuzzaman; Rahman, Mushfiqur; Alam, Mohammad Jahangir (Springer, 2023-05-23)
    Breast cancer is a physical disease and increasing in recent years. The topic is known widely in the recent world. Most women are suffering from problem of breast cancer. The disease is measured by the differences between ...

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