DIU Institutional Repository: Recent submissions

  • A Patient-Specific Functional Module and Path Identification Technique from RNA-SEQ Data 
    Azim, Riasat; Wang, Shulin; Dipu, Shoaib Ahmed; Islam, Nazmin; Muid, Munshi Rezwan Ala; Elahe, Md Fazla; Li, Mei (Elsevier, 2023-05-15)
    With the advancement of new technologies, a huge amount of high dimensional data is being generated which is opening new opportunities and challenges to the study of cancer and diseases. In particular, distinguishing the ...
  • A Novel Automated Feature Selection Based Approach To Recognize Cauliflower Disease 
    Shakil, Rashiduzzaman; Akter, Bonna; Shamrat, F M Javed Mehedi; Noor, Sheak Rashed Haider (Institute of Electrical and Electronics Engineers Inc., 2023-04-17)
    Cauliflower disease is a primary cause of reduced cauliflower yield. Preventing cauliflower disease requires early diagnosis. In the scope of this study, we suggested an agro-medical expert system that would make it easier ...
  • A Novel Data and Model Centric Artificial Intelligence Based Approach in Developing High-Performance Named Entity Recognition for Bengali Language 
    Lima, Khadija Akter; Hasib, Khan Md; Azam, Sami; Karim, Asif; Montaha, Sidratul; Noori, Sheak Rashed Haider; Jonkman, Mirjam (PLOS ONE, 2023-09-22)
    Named Entity Recognition (NER) plays a significant role in enhancing the performance of all types of domain specific applications in Natural Language Processing (NLP). According to the type of application, the goal of NER ...
  • A Network Analysis of the Internet Disorder Scale–Short Form (IDS9-Sf) 
    Mamun, Mohammed A.; Al‑Mamun, Firoj; Ullah, Irfan; Hosen, Ismail; Zia, Syed Ahsan; Poorebrahim, Ali; Pourgholami, Morteza; Lin, Chung‑Ying; Pontes, Halley M.; Griffiths, Mark D.; Pakpour, Amir H. (Springer, 2022-06-09)
    The Internet Disorder Scale-Short Form (IDS9-SF) is a validated instrument assessing internet disorder which modified the internet gaming disorder criteria proposed in the fifth edition of the Diagnostic and Statistical ...
  • Gourd Vegetable Detection by Deep Learning Approach 
    Akter, Kana (Daffodil International University, 2024-01-29)
    The local market in Bangladesh offers a diverse range of around 100 varieties of vegetables for purchase and sale. The nomenclature of vegetables exhibits regional variations, leading to difficulties in identification ...
  • A Moderation and Mediation Model for Customer Revisit Intention to Non-Halal Certified Restaurants 
    Ngah, Abdul Hafaz; Ramayah, Thurasamy; Mohamad, Mohamad Firdaus Halimi; Din, Rosseni (Institute of Electrical and Electronics Engineers Inc., 2023-03-15)
    This work is copyrighted by Università del Salento, and is licensed under a Creative Commons Attribuzione-Non commerciale-Non opere derivate 3.0 Italia License. For more information see: http://creativecommons.org/licens ...
  • A Metadata Review on Business Intelligence in the Construction Industry 
    Mahmudin, Alwi; Mohsin, Ainul Mohsein Abdul; Islam, Md Shamimul (2023-11-23)
    Little effort has been made to know the status of BI in the construction industries. Business intelligence (BI) is critical for companies to migrate into Industry 4.0. Therefore, this study aims to review the literature ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • A Machine Learning Approach for Driver Identification 
    Ali Khan, Md. Abbas; Ali, Mohammad Hanif; Haque, Fazlul; Habib, Md. Tarek (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Driver identification is a momentous field of modern decorated vehicles in the perspective of the controller area network (CAN-Bus). Many conventional systems are used to identify the driver. One step ahead, most of the ...
  • A Fine Tune Robust Transfer Learning Based Approach for Brain Tumor Detection Using Vgg-16 
    Islam, Rakibul; Akhi, Amatul Bushra; Akter, Farzana (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    Brain tumor recognition by magnetic resonance imaging (MRI) is crucial because it improves survival rates and allows them to plan treatments accordingly. An accumulation of abnormal cells known as a brain tumor can spread ...
  • A Dual Band Y-Shape Monopole Antenna for 5G Wireless Application 
    Chowdhury, MD. Zikrul Bari; Armghan, Ammar; Islam, Mohammad Tariqul; Hossain, Ismail; Rahman, MD. Naimur; Moniruzzaman, MD.; Majumder, Sarna; Samsuzzaman, Md. (INOE Publishing House, 2023-06-09)
    In this paper, a novel dual-band Y-shaped monopole patch antenna is proposed, designed, and fabricated for a 5G wireless application. The radiator patch of the antenna's wide and length was fabricated on an FR-4 substrate ...
  • Paddy Yield Estimation By Deep Learning Approach 
    Islam, Ashraful (Daffodil International University, 2024-01-29)
    Three crucial crops in Bangladesh are farmed concurrently based on the country's climate and seasons. The individuals mentioned are Aush, Aman, and Boro. Various sorts of damage occur in Bangladesh at different times as ...
  • Local Spinach Variant And Freshness Detection Using Deep Learning Techniques 
    Hasan, Md.Nahid (Daffodil International University, 2024-01-29)
    The study addresses the use of deep learning to automate the recognition of local variations of spinach and the evaluation of their freshness, addressing key challenges facing the agriculture industry. The study carefully ...
  • A Drug Design Strategy Based on Molecular Docking and Molecular Dynamics Simulations Applied to Development of Inhibitor Against Triple-Negative Breast Cancer by Scutellarein Derivatives 
    Akash, Shopnil; Aovi, Farjana Islam; Azad, Md. A. K.; Kumer, Ajoy; Chakma, Unesco; Islam, Md. Rezaul; Mukerjee, Nobendu; Rahman, Md. Mominur; Bayıl, Imren; Rashid, Summya; Sharma, Rohit (PLOS, 2023-10-12)
    Triple-negative breast cancer (TNBC), accounting for 10–15% of all breast malignancies, is more prevalent in women under 40, particularly in those of African descent or carrying the BRCA1 mutation. TNBC is characterized ...
  • A Defense and Detection against Adversarial Attack Using De-Noising Auto-Encoder and Super Resolution Gan 
    Hassan, Md Maruf; Karmokar, Subroto (AIP Publishing, 2023-07-12)
    Neural networks have flourished in heterogeneous industries to automate tasks that evince it being an utmost priority for the adopters. The adversarial attack poses a threat for Deep Neural Networks and their variants. ...
  • Vromon – Web Based Travel Management System (Tms) 
    Sarker, Arnob (Daffodil International University, 2024-01-29)
    The sophisticated and user-friendly Web-based travel management system (TMS) "Vromon" was created with three main stakeholders in mind: system administrators, organizers, and customers—all of whom want to travel more ...
  • A Critical Review of Sustainable Application of Biochar for Green Remediation 
    Unknown author (Elsevier, 2023-12-15)
    Biochar, a carbon-rich material produced from the pyrolysis of organic biomass, has gained significant attention as a potential solution for sustainable green remediation practices. Several studies analyze biomass-derived ...
  • Using Deep Learning To Predict Paper Categories Based On Abstracts 
    Nahid, Syed Ahsanul Huque (Daffodil International University, 2024-01-29)
    Academic paper categorization is a criticalstep in the field of information retrieval and information processing. This paper “USING DEEP LEARNING TO PREDICT PAPER CATEGORIES BASED ON ABSTRACTS” proposes a novel approach ...
  • Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models 
    Rabbi, Munshi Omar Faruque (Daffodil International University, 2024-01-29)
    The diagnosis of diseases in mango leaves presents a complex challenge, compounded by the diversity of crop types, variability in agricultural disease indicators, and a multitude of environmental factors. Early detection ...
  • A Critical Review and Prospect of NO2 and SO2 Pollution Over Asia 
    Jion, Most. Mastura Munia Farjana; Jannat, Jannatun Nahar; Mia, Md. Yousuf; Ali, Md. Arfan; Islam, Md. Saiful; Ibrahim, Sobhy M.; Pal, Subodh Chandra; Islam, Aznarul; Sarker, Aniruddha; Malafaia, Guilherme; Bilal, Muhammad; Islam, Abu Reza Md Towfiqul (Elsevier, 2023-06-10)
    Nitrogen dioxide (NO2) and sulfur dioxide (SO2) are two major atmospheric pollutants that significantly threaten human health, the environment, and ecosystems worldwide. Despite this, only some studies have investigated ...

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