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Browsing DIU Faculty Publication by Title

Browsing DIU Faculty Publication by Title

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  • 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 ...
  • Dengue: A Brief Insight 
    Sultana, Sharmin; Muhammad, Faisal; Chowdhury, ABM Alauddin; Mehriban, Nadira; Khan, Salim (Bentham Science Publishers Ltd., 2023-06-22)
    Dengue is the second most dangerous vector-borne disease worldwide in terms of incidence and mortality rate [1]. Many nations are experiencing dengue outbreaks, including the Americas, Africa, the Middle East, Asia, and ...
  • Deployment of E-Services Based Contextual Smart Agro System Using Internet of Things 
    Sattar, Abdus; Shampod, Yeasin Arafat; Ahmed, Md. Tanjid; Akter, Nasrin; Mahmud, Arif (Daffodil International University, 2022-02-01)
    Climate change's effects are becoming more apparent, and farmers are bearing the brunt of the consequences. As a result, by 2050, food production is expected to decline by 18%. Therefore, the study's goal is to develop ...
  • Depression Detection in Social Media Comments Data Using Machine Learning Algorithms 
    Vasha, Zannatun Nayem; Sharma, Bidyut; Esha, Israt Jahan; Nahian, Jabir Al; Polin, ohora Akter (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Depression is the next level of negative emotions. When a person is in a sad mood or going through a difficult situation and it is not leaving him and giving him pain continuously and he is unable to bear it anymore, that ...
  • Depression Level, Nutritional Status, and Dietary Nutrient Intake of the Older Adult at the Community Level in a Selected Area of Bangladesh 
    Tasnim, Tasmia; Sadiq, Md Zafar As; Karim, Kazi Muhammad Rezaul (Elsevier, 2023-07-13)
    Malnutrition is associated with higher rates of morbidity and death in the older population. Depression or mental health is a major component of older adult malnutrition. The aim of the study was to measure the level of ...
  • Depression Prognosis Using Natural Language Processing and Machine Learning From Social Media Status 
    Hossain, Md. Tazmim; Talukder, Md. Arafat Rahman; Jahan, Nusrat (Daffodil International University, 2022-01-23)
    Depression is an acute problem throughout the world. Due to worst and prolong depression many people dies in every year. The problem is that most of the people are not concern of the fact that they are suffering from ...
  • Derm-NN 
    Rimi, Tanzina Afroz; Sultana, Nishat; Foysal, Md. Ferdouse Ahmed (Proceedings of the International Conference on Intelligent Computing and Control Systems, IEEE, 2020-06-19)
    Skin is the most powerful protection of important organs in the human body. It acts as a shield to protect our internal body to get damaged. But this important part of the human body can be affected by so serious infections ...

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