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  • Deep Learning Based Sentiment Analysis from Bangla Text Using Glove Word Embedding along with Convolutional Neural Network 
    Mahmud, Md Ishtyaq; Abdelgawad, Ahmed; Yanambaka, Venkata P. (Daffodil International University, 2023-04-10)
    Unique key generation is essential for encryption purposes between Internet of Things (IoT) devices. To produce a unique key for this encryption, Physical Unclonable Functions (PUFs) might be employed. Also, the Random ...
  • Deep Learning Based Sponge Gourd Diseases Recognition for Commercial Cultivation in Bangladesh 
    Mim, Tahmina Tashrif; Sheikh, Md. Helal; Chowdhury, Sadia; Akter, Roksana; Khan, Md. Abbas Ali; Habib, Md. Tarek (International Conference on Artificial Intelligence & Industrial Applications, Springer, 2020-09-02)
    Sponge gourd, called as “ Open image in new window ” in Bangladesh, is scientifically known as Luffa cylindrical that belongs to Cucurbitaceae family. Sponge gourd or luffa gourd is one of the most easily found vegetable ...
  • Deep Learning Based Zucchini Leaf Diseases Detection: A Commercial Agriculture Development in Bangladesh 
    Tusher, Abdur Nur; Sammy, Mst. Sakira Rezowana; Moeen, Md. Leaul Hamd; Deb, Sreedham; Islam, Md. Tariqul; Sadik, Md. Shibli (IEEE, 2023-11-25)
    "The economic growth of Bangladesh is heavily dependent on agricultural production, but the several diseases have significantly impeded the growth of crops. The zucchini plant is commonly afflicted by diseases ...
  • Deep Learning Predictive Model for Colon Cancer Patient using CNN-based Classification 
    Tasnim, Zarrin; Chakraborty, Sovon; Shamrat, F. M. Javed Mehedi; Chowdhury, Ali Newaz; Nuha, Humaira Alam; Karim, Asif; Zahir, Sabrina Binte; Billah, Md. Masum (Scopus, 2021)
    In recent years, the area of Medicine and Healthcare has made significant advances with the assistance of computational technology. During this time, new diagnostic techniques were developed. Cancer is the world's ...
  • A Deep Learning Study on Understanding Banglish and Abbreviated Words Used in Social Media 
    Das, Suharto; Islam, Md Sanzidul; Mahmud, Imran (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021-05-26)
    Day by Day, the trend of using social media(SM) has increased among the people. With the increasing rate, the use of Banglish (Merge of Bangla and English) and shortcut words has also being increased. In this research, ...
  • Deep Learning-Based Analysis of COVID-19 X-Ray Images: Incorporating Clinical Significance and Assessing Misinterpretation 
    Bhuiyan, Md. Rahad Islam; Azam, Sami; Montaha, Sidratul; Jim, Risul Islam; Karim, Asif; Khan, Inam Ullah; Brady, Mark; Hasan, Md. Zahid; Boer, Friso De; Mukta, Md. Saddam Hossain (SAGE Publications, 2023-11-06)
    COVID-19, pneumonia, and tuberculosis have had a significant effect on recent global health. Since 2019, COVID-19 has been a major factor underlying the increase in respiratory-related terminal illness. Early-stage ...
  • A Deep Learning-based Approach for Edible, Inedible and Poisonous Mushroom Classification 
    Zahan, Nusrat; Hasan, Md Zahid; Malek, Md Abdul; Reya, Sanjida Sultana (2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), IEEE, 2021-04-12)
    Mushroom is one of the fungi types' food that has the most powerful nutrients on the plant. Nevertheless, the identification of edible, inedible and poisonous mushrooms among its existing species is a must due to its high ...
  • 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 ...
  • Deep Learning-Based Networks for Detecting Anomalies in Chest X-Rays 
    Badr, Malek; Al-Otaibi, Shaha; Alturki, Nazik; Abir, Tanvir (Daffodil International University, 2022-07-23)
    X-ray images aid medical professionals in the diagnosis and detection of pathologies. They are critical, for example, in the diagnosis of pneumonia, the detection of masses, and, more recently, the detection of COVID-19-related ...
  • 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 Neural Network-Based Ensemble Model For Eye Diseases Detection And Classification 
    Jenny, Afsana Ahsan; Junayed, Masum Shah; Islam, Md Baharul (Institute of Advanced Engineering and Science (IAES), 2023-06-11)
    Fundus images are the principal tool for observing and recognizing a wide range of ophthalmological abnormalities. The automatic and robust methods based on color fundus images are urgently needed since few symptoms are ...
  • Deep Transfer Learning Approaches for Monkey Pox Disease Diagnosis 
    ManjurulAhsan, Md.; Uddin, Muhammad Ramiz; Ali, Md. Shahin; Islam, Md. Khairul; Farjana, Mithila; Sakib, Ahmed Nazmus; Momin, Khondhaker Al; Luna, Shahana Akter (Elsevier, 2023-04-15)
    Monkeypox has become a significant global challenge as the number of cases increases daily. Those infected with the disease often display various skin symptoms and can spread the infection through contamination. Recently, ...
  • DeePred-BBB 
    Kumar, Rajnish; Sharma, Anju; Alexiou, Athanasios; Bilgrami, Anwar L.; Kamal, Mohammad Amjad; Ashraf, Ghulam Md (Daffodil International University, 2022-05-03)
    The blood-brain barrier (BBB) is a selective and semipermeable boundary that maintains homeostasis inside the central nervous system (CNS). The BBB permeability of compounds is an important consideration during CNS-acting ...
  • 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. ...
  • Defensive Silence, Defensive Voice, Knowledge Hiding, and Counterproductive Work Behavior Through the Lens of Stimulus-Organism-Response 
    Shu, Fang; Ramayah, T. (Daffodil International University, 2022-03-18)
    Rising negative emotions are like “time bombs” that impede productivity in the workplace. The present investigation provides an insight into the effects of defensive silence and defensive voice on counterproductive work ...
  • Defining Green Innovation, Its Impact, and Cycle – a Literature Analysis 
    Chavira, Pablo Cisneros; Shamsuzzoha, AHM; Kuusniemi, Heidi; Jovanovski, Bojan (Elsevier, 2023-11-15)
    Organizations all over the globe are starting to address environmental-related matters with special emphasis. Several authors believe that for organizations to improve their corporate performance and remain competitive ...
  • Definition and Attributes of Occupational Balance Following Retirement 
    MQ, Mohamad Sabri; A, Dahlan; R, Thurasamy; T, Kounosuke; AZ, Che Daud (Clinical Physiology and Pharmacology, 2023-01-15)
    After retirement, the activities and roles of retirees change as their previously dominant activity and productivity is no longer a part of their routine. This transition can affect each retiree differently, and the risk ...
  • Degraded Document Enhancement through Binarization Techniques 
    Bonny, Moushumi Zaman; Uddin, Mohammad Shorif (2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE, 2019-12-25)
    Enhancement of degraded documents is one of the significant and challenging research areas. In recent years, several binarization methods are proposed and presented for the improvement of degraded documents, but, most of ...
  • 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 (Scopus, 2021)
    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 ...
  • 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 ...

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