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Browsing Project Report by Subject "Deep learning"

Browsing Project Report by Subject "Deep learning"

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  • Detection of Breast Cancer using Deep Learning Approach 
    Saha, Badhan (Daffodil International University, 23-01-29)
    Breast cancer is a disease in which cells in the breast grow out of control. In Bangladesh the rate of breast cancer occurrence is estimated to be 22.5 per 100,000 females of all ages. In case of Bangladeshi women, aged ...
  • Detection of Potato Diseases using Deep Learning 
    Hossain, Md. Jaber; Hasan, Md. Mahedi; Sikder, Md. Sajib (Daffodil International University, 2021-05)
    Potato is one of the essential foods and root vegetables in the world and is also the staple food in some different nations. Globally It is the fourth-largest food and now the seventhlargest growing food in Bangladesh. ...
  • Determining Pneumonia via X-ray Image Using Neural Network 
    Rahman, Md. Nayemur; Alam, Md. Ashraful; Niloy, Fahim Ahammad (Daffodil International University, 2022-01)
    Despite the fact that pneumonia is a vaccine-preventable disease, it has become a global health concern. Every year, 800,000 children die from pneumonia. Pneumonia has been the cause of death in 17 percent of Bangladeshi ...
  • Image Analysis for Classifying Forest Fire Using Deep Learning 
    Saba, Sabrina; Hossain, Sazzad (Daffodil International University, 23-02-12)
    80% of all living things on earth depend on forests as part of their ecosystem for food and shelter. For most of their existence, Homo humans lived in forests. Forests are at risk from forest fires. Because woods exist, ...
  • K-Means Clustering for News Clustering Based on Latent Semantic Analysis 
    Jaya, Manisha Das; Alam, MD. Rabiul; Somaiya Akter Kakoli (Daffodil International University, 23-02-18)
    K-means Clustering for News Clustering based on Latent Semantic Analysis is a challenging problem because of its rarity. Document clustering or text clustering is a cluster analysis process of textual documents. In this ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Monkeypox Disease Detection Using Deep Learning Approach 
    Meem, Mahamudul Hasan; Boishak, MD. Israk Jahan; Bappy, Sheak Ahsan Habib (Daffodil International University, 23-01-29)
    Although humanity is still working to rehabilitate from the harm brought on by the widespread distribution of COVID-19, the Monkeypox disease now poses a fresh threat of spreading worldwide. Due to the recent Monkeypox ...
  • Mouse-Cursor Movement and Control Using Eye Gaze-A Human Computer Interaction 
    Miah, Payel; Gulshan, Mirza Raina (Daffodil International University, 23-01-29)
    An emerging technology is human computer interaction (HCI).It is the technique that provide the ways to the human interact with the computers. Gaze interaction is one kind of human computer interaction(HCI). One of the ...
  • Mushroom Classification Using Convolutional Neural Network 
    Habib, Julfikar; Sarker, Shaswatee; Pau, Toma Rani (Daffodil International University, 2022-01-02)
    Mushroom is a type of fungi. Nowadays it has become one of the world-wide nutrient’s foods on the plant. We can cultivate mushroom for medicine, health food and for other purpose. Mushrooms are also used in medical center ...
  • Neural Network Based Face Recognition System for Students 
    Tushar, Shrijon Deb; Durjoy, Md. Alimozzaman; Bristy, Anika Hossain (Daffodil International University, 2021-12)
    Face recognition systems are part of biometric information processing. Face recognition is easier to apply and requires a longer work area than scanning fingerprints, irises, signatures, etc. Due to the variety of facial ...
  • Newspaper’s Editorial Opinion Prediction in Sentiment Analysis Using Deep Learning Methods 
    Momtaj, Mst. Anika; Mahmud, Md. Shihab; Saha, Uchchhwas (Daffodil International University, 2022-01-04)
    Sentiment analysis is a computational method that uses preliminary emotion analysis to retrieve feelings and key phrases from various texts (e.g., Positive, Negative, Neutral). It’s necessary to extract useful information ...
  • A Noble Deep Learning Approach to Recognize Speaker’s Identity from Bengali Speech 
    Hossain, Md. Fahad; Ali, Hasmot; Hasan, Md. Mehedi (Daffodil International University, 2021-06-01)
    Speech is the most suitable form of communication. Speech-based applications are playing a vital role in modern technology for the last few decades. Because it has a lot of identical features for measuring performance ...
  • Real time Object detection in Bangla Sign Language Using Adversarial Deep learning 
    Al Rafika, Fatema Alim; Saha, Sharthok; Hossain, Md. Amran (Daffodil International University, 23-02-12)
    Instead of spoken words, sign languages use the visual-manual modality to communicate meaning. Manual articulation and non-manual markers are used to convey meaning in sign languages. It is used by dumb or silent, blind ...
  • Reviving Old Photographs 
    Sakib, Sams Waliur Istehad (Daffodil International University, 23-02-12)
    Our Project is titled “Reviving Old Photographs” is focusing on restoring old photos back to life, Through a deep learning method, we suggest restoring antique photos that have suffered serious damage. The degradation in ...
  • A Robust Shallow CNN Architecture for Performing Ablation Studies on Skin Cancer Images 
    Hasan, MD. Tanvir; Alam, MD. Soriful (Daffodil International University, 23-02-18)
    Skin disease is an increasingly common form of disease that affects millions of people worldwide every year. It is caused by the uncontrolled growth of abnormal skin cells. Skin disease detection is an important area of ...
  • Sentiment Analysis of Bangla Text Using Deep Learning 
    Shaleh, Md. Abu; Hasan, Md. Nazmul; Rahman, Ashibur (Daffodil International University, 2021-01-28)
    Sentiment analysis is a set of instructions to define and derive opinions. Most of the Sentiment Analysis works centered on the English language. Bangla is widely spoken language, approximately 265 million of people uses ...
  • Sentiment Analysis on Online Products Review Using Deep Learning Approach 
    Aziz, Md. Tarikul; Dipty, Huray Jannat (Daffodil International University, 2021-09-11)
    The method of extracting feasible information from expression or text that helps in different fields to make decision is called sentiment analysis. Sentiment analysis is an important methodology for all the business ...
  • Skin Disease Detection Employing Transfer Learning Approach- A fine-tune VGG-19 
    Islam, Al-Habib; Shahriyar, S.M. (Daffodil International University, 23-02-18)
    Your skin may become damaged by skin diseases and conditions. These illnesses can cause skin changes such as rashes, inflammation, itching, and other skin changes. While some skin conditions may run in families, others may ...
  • “STIBGK”: A Comparative Study between Bangla-English Languages on Question-Answer Using LSTM Based Attention Mechanism” 
    Nabi, Nusrat; Islam, Sumiya; Siddiquee, Sakib Ahmad; Al Hossain, Syed Rakib (Daffodil International University, 2021-12-05)
    Recently, breakthroughs of NLP research have improved a range of activities, most notably the Question Answering System for many languages. Since the last few years, question answering (QA) systems have grown at a breakneck ...
  • Street Food Detection of Bangladesh Using Deep Learning 
    Aditi, Oyshi Tabassum; Banu, Beauty; Mim, Mehnaz Rashid (Daffodil International University, 2021-12-04)
    Street food demand is increasing day by day in Bangladesh. It has yummy tastes, easily accessibility, low price, easily made, easy to available, attraction to the foods, and above all, needs of the street people. There ...

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