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  • Deep Learning Approach to Classify Road Damage of Bangladesh Using Convolutional Neural Network 
    Jahan, Hasnur (Daffodil International University, 2022-01-30)
    Road damages are a big issue for a developing country like Bangladesh. Manually maintained road damages are costly and time-consuming. So, it’s a need of time to make a system that will automatically classify the road ...
  • A Deep Learning Approach to Detect and Classification of Lung Cancer 
    Khatun, Mst. Farhana; Ajmain, Moshfiqur Rahman; Assaduzzaman, Md. (IEEE, 2023-01-26)
    Cancer is a name of fear to people in the world. Ev- ery year millions of people dead of cancer in the world and lung cancer is one of them. Lung cancer is classified by our research. Non-small cell lung cancer (NSCLC) ...
  • A Deep Learning Approach to Detect Breast Cancer Disease from Mammogram Images 
    Sohel, Amir; Hossain, Shahed; Hasan, Md Umaid; Islam, Onamika; Das, Utpal Chandra; Rahman, Md. Mahfuzur (IEEE, 2023-12-15)
    Breast cancer is a significant cause of mortality among women. Breast cancer is regarded as the most severe concern among women. The early detection of breast cancer can potentially impact mortality rates significantly. ...
  • A Deep Learning Approach to Detect Lung Cancer Using Alexnet and kNN 
    Rahman, Md. Maksudur (Daffodil International University, 2021-01-30)
    In the race of all cancerous diseases, lung cancer is in the first place. Every year lots of people died because of cancer and lung cancer is playing the leading role among them. In the year of 2018, 9.6 million people ...
  • A Deep Learning Approach to Detect Microsleep Using Various Forms of EEG Signal 
    Sangeetha, S. K. B.; Mathivanan, Sandeep Kumar; Muthukumaran, V.; Pughazendi, N.; Jayagopal, Prabhu; Uddin, Md Salah (HINDAWI, 2023-02-16)
    Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness behind the wheel. Using EEG technology for driving fatigue detection still presents challenges in extracting informative elements ...
  • A Deep Learning Approach to Detect Unauthorized Person 
    Habib, Md. Hasan; Mahamud, Shakib; Shawon, Owali Ullah (Daffodil International University, 2021-06-02)
    This analysis aims to identify Unauthorized Persons to ensure the protection of an organization. Essentially, this is a hybrid of two forms of detection. The first detects known and unknown faces, while the second detects ...
  • A Deep Learning Approach to Learn Lip Sync from Audio 
    Bhuiyan, Mazharul Islam; Mahato, Milon; Hassan, Md. Nazmul; Rahman, Md. Habibur (Daffodil International University, 2021-01-14)
    With accurate lip-sync of speaker independent, we synthesize several high-quality videos for sake of generating expected target video clip from the composite synthesized video. In our work we explore several related works ...
  • Deep Learning Approach to Predict Blood Cell and Counting 
    Rahaman, Md. Abdur (Daffodil International University, 2021)
    The counting of blood cells is an important test that aids in the diagnosis of certain disorders. The technique of manually counting abnormal blood cells by an experienced specialist is exceedingly arduous, time-consuming, ...
  • A Deep Learning Approach to Predict Chronic Kidney Disease in Human 
    Arafat, Faisal; Khan, Thaharim; Bapon, Atanu Das; Khan, Md. Ibrahim; Noori, Sheak Rashed Haider (Scopus, 2021)
    Renal turmoil otherwise called Chronic Kidney Disease (CKD) has been a very important field of study for a long while now. Diagnosis of CKD requires a lot of tests and it's not a straightforward or easy process. Recent ...
  • A Deep Learning Approach to Recognize Bangladeshi Shrimp Species 
    Nishi, Jubiria Subrin; Hossain, Md. Rajib (Daffodil International University, 23-01-29)
    The nutritional value of shrimp, the most consumed shellfish in Bangladesh, is high because of its abundance of various nutrients. Protein, minerals, vitamin D, and iodine are all examples of such things. The name of this ...
  • A Deep Learning Approach To Reduce Brain Cancer by Detecting and Localizing Tumor From Brain MRI Images 
    Khan, S. M. Ishtiaque Ahammed; Akter, Mst. Marium; Arefin, Abu Shahed Shah Md. Nazmul (Daffodil International University, 22-09-12)
    In terms of the neurological system, the brain is fundamental. A brain tumor is a growth or mass of abnormal tissue in the brain. And it's not uncommon for this to prove fatal. When a brain tumor is detected early, it can ...
  • Deep Learning Approaches for Diabetic Retinopathy Detection by Image Classification 
    Bhimavarapu, Usharani; Battineni, Gopi (Daffodil International University, 2022-12-28)
    Diabetic retinopathy (DR) is among the most prevalent eye diseases that can result in blindness and vision loss if left untreated. Early detection of vision impairment might slow or stop its progression. Manual diagnosis ...
  • Deep Learning Approaches to Predict Future Frames in Videos 
    Al Mukul, Abdullah; Tonmoy, Mahtab Mashuq (Daffodil International University, 23-02-18)
    Across several fields of computer vision, deep learning methods are gaining importance. While there have been several research on the categorization of pictures and movies, prediction of the coming frames of an input ...
  • Deep Learning Based Approach for Identification of Local Fish 
    Junayed, Masum Shah; Jeny, Afsana Ahsan; Jisan, Nazmus Sadat (Daffodil International University, 2018-12)
    Bangladesh is considered one of the most suitable area for fish culture with the world's largest climate wetland with thousands of rivers and ponds and being a fish-loving nation. Learning a classification of fish can ...
  • A Deep Learning Based Approach on Categorization of Tea Leaf 
    Kamrul, Mahadi Hasan; Rahman, Majidur; Robin, Md Risul Islam; Hossain, Md Safayet; Hasan, Mohammad Hasibul; Paul, Pritom (ACM Digital Library, 2020-01-10)
    Tea grading is a very prominent factor of the tea industry. The standard, fragrance and sweetness of tea mostly relies on this grading system. This research is a step to introduce machine learning with the tea industry, ...
  • A Deep Learning Based Assistive System to Classify COVID-19 Face Mask for Human Safety with YOLOv3 
    Bhuiyan, Md. Rafiuzzaman; Khushbu, Sharun Akter; Islam, Md. Sanzidul (IEEE, 2020-07)
    Computer vision learning pay a high attention due to global pandemic COVID-19 to enhance public health service. During the fatality, tiny object detection is a more challenging task of computer vision, as it recruits the ...
  • Deep Learning Based Ceramic Tile Defect Recognition 
    Hosain, Md. Kamran; Islam, Md. Rafiqul (Daffodil International University, 2020-07-01)
    The global market for ceramic tiles industry is highly competitive nowadays. Quality control in the production process in the ceramic tile industry has been a key factor for retaining existence in such a competitive ...
  • Deep Learning Based Classification System for Recognizing Local Spinach 
    Islam, Mirajul; Ria, Nushrat Jahan; Ani, Jannatul Ferdous; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Springer, 2022-01-03)
    A deep learning model gives an incredible result for image processing by studying from the trained dataset. Spinach is a leaf vegetable that contains vitamins and nutrients. In our research, a Deep learning method has been ...
  • Deep Learning Based Dragon Fruit Classification 
    Hossen, Md. Sazzat; Momenin, Md. Ashraful; Islam, Israt (Daffodil International University, 2022-01-05)
    The dragon fruit is now widely grown all over the world. Its popularity is growing as a result of its nutritious benefits. The predominant colors are red and white. However, because it appears to be the same from the ...
  • A Deep Learning Based Poisonous Frog Detection System 
    Jahan, Mushrat; Samia, Ismot Jahan; Younus, Saima Binta; Hakim, Md. Azizul; Jahan, Mushrat (IEEE, 2023-11-23)
    Frog species across the world are vulnerable and in decline, despite the fact that frogs are an integral part of biological systems. Within this enchanting world, we encounter two intriguing groups: non-poisonous and ...

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