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Browsing Project Report by Title

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  • 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 ...
  • 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 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 ...
  • Deep Learning Based Sponge Gourd Disease Recognition 
    Mim, Tahmina Tashrif; Chowdhury, Sadia (Daffodil International University, 2019-07)
    Sponge gourd or luffa gourd, called as “ধুন্দলু” in Bangladesh, is scientifically known as Luffa cylindrical that belongs to Cucurbitaceae family. It is one of the most easily found vegetables in Bangladesh. It is edible ...
  • Deep Learning Based Sponge Gourd Disease Recognition 
    Mim, Tahmina Tashrif; Chowdhury, Sadia; Akter, Roksana (Daffodil International University, 2019-12)
    Sponge gourd or luffa gourd, called as “ধুন্দলু” in Bangladesh, is scientifically known as Luffa cylindrical that belongs to Cucurbitaceae family. It is one of the most easily found vegetables in Bangladesh. It is edible ...
  • Deep Learning Based Thoracic X-ray Image Classification 
    Zohora, Fatema Tuz (Daffodil International University, 2019-12-19)
    Radiology Image Analysis is a critical sector and this job mostly being done by medical specialists and people expect highest level of care and service regardless of cost. Due to complexity and subjectivity of images it ...
  • Deep Learning Based Thoracic X-ray Image Classification 
    Zohora, Fatema Tuz (Daffodil International University, 2019-12-18)
    Radiology Image Analysis is a critical sector and this job mostly being done by medical specialists and people expect the highest level of care and service regardless of cost. Due to the complexity and subjectivity of ...
  • Deep Learning for Optimal Decision Making Oriented Prediction for Combinatorial Optimization Problem 
    Khan, Thaharim (Daffodil International University, 2021-10-12)
    In the field of Computer Science, the growing advancement help the researchers a lot to confront the new problems and making a new solution. Not only with the existing algorithm but also various ways can be found for ...
  • Deep Learning Towards Multi-Classification of Tumors in Brain 
    Osman, Labeed Jafar (Daffodil International University, 22-08-01)
    Brain tumors are recognized as one of the most deadly malformations because of its persistent effects on the brain and consequent impact on the patient's overall wellbeing. Early detection of the brain tumors is prerequisite ...
  • A Deep Learning-based Approach for Edible, Inedible and Poisonous Mushroom Classification 
    Zahan, Nusrat (Daffodil International University, 2021-06-02)
    Mushroom is one of the fungi types' foods that has the most powerful nutrients on the plant. However, there are as yet different mushroom species that have not been identified. Nevertheless, the identification of edible, ...
  • A Deep Learning-Based Approach for Melanoma Skin Cancer Disease 
    Hasan, Quazi Zayed Bin (Daffodil International University, 22-09-21)
    Skin cancer is the maximal rapid cancer in the white pool worldwide. Incidence of basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and malignant melanoma (MM) is nevertheless thriving. This bias can be remedied ...
  • Deep Residual CNN Based Model for Human Activity Recognition System 
    Tareque, Saifuddin Mohammad (Daffodil International University, 2019-05-26)
    Human Action Recognition (HAR) is a significant application realm in computer vision, but high precision recognition of human action in the complex background is still an open question. Recently, deep learning approach ...
  • Degradation Analysis of Banana Using Comparative Approach 
    Billah, M. Raki; Ahmed, Sayed; Surovi, Rabeya Kamal (Daffodil International University, 2019-12-07)
    In recent times, the considerations of improving the product and food quality are turned into a big concern. Continuous uses of chemical, formalin and so many preservatives on food and agriculture are now a burning ...
  • Demand Forecasting for Restocking Goods Using Machine Learning 
    Dolon, Dilruba Khanom; Patwary, Md. Mehrab; Abedin, Mohammad Jakaria (2021-06-01)
    In the financial operations, many factors play a decisive role. Price and demand play an essential role among them, since they are the key determinants of the financial activities. Demand is not statically placed. In ...
  • Departmental Resource Planning 
    Firdows, Al Amin; Mahmudul Hasan (Daffodil International University, 2019-12-06)
    Departmental Resource Planning is a web application that been created for the computer science and engineering department of the permanent campus of Daffodil International University. The application gives the privilege ...
  • Deploying Dual Stack in a Campus Network Diagram 
    Maruf, Md. Moshfequr Rahman; Islam, Maksudul; Das, Puja (Daffodil International University, 2021-06-03)
    This report write on a networking based project named “Deploying Dual Stack in a campus network". Here we configure both IPv4 & IPv6 in a same campus network. Gradually we go ahead to IPv6 for some major limitation of ...
  • Deploying IPV6 in a Campus Network 
    Noman, Abdullah Al; Chowdhury, Arafat (Daffodil International University, 2019-12)
    With the rapid development of computer network, the construction of campus network is the inevitable choice of the development of information network. The campus network system is a very large and complicated system. It ...
  • Depression Analysis From Social Media Bengali Comments Using Machine Learning Techniques 
    Hasan, Mehedi (Daffodil International University, 23-02-18)
    Depression is a major public health concern that can have significant negative impacts on an individual's quality of life. Early detection of depression can be crucial for facilitating timely treatment and improving ...
  • Depression Detection From Social Network Data Using Machine Learning Technique During Covid-19 Situation 
    Smrity, Sadia Islam (Daffodil International University, 2021-09-12)
    Coronavirus outbreaks have had a Signiant impact on human life. This thesis considers the detection of depression by applying a system that can effectively detected depressing text from various post in covid situation. ...
  • Depression Detection in Social Media Comments Data Using Machine Learning Algorithms 
    Vasha, Zannatun Nayem; Sharma, Bidyut; Esha, Mst. Israt Jahan (Daffodil International University, 23-02-18)
    Nowadays, depression is a common and dangerous mental problem for our society, the country even the whole world. When a person is in a heartbreaking mood or going through an exquisite condition and it is not leaving him, ...

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