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Browsing by Subject "Deep Learning"

Browsing by Subject "Deep Learning"

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  • EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition 
    Rabby, AKM Shahariar Azad; Haque, Sadeka; Abujar, Sheikh; Hossain, Syed Akhter (Elsevier B.V., 2018-11-19)
    EkushNet is the first research which can recognize Bangla handwritten basic characters, digits, modifiers, and compound characters. Handwritten recognition is one of the most interesting issue in present time due to its ...
  • Enhancing Lung Cancer Detection Through Deep Learning-Based Image Segmentation 
    Das, Avishek (Daffodil International University, 2024-01-21)
    This literature review provides a thorough examination of important works in the field of medical image analysis, with a special emphasis on the use of machine learning and deep learning algorithms for identifying lung ...
  • Face Recognition Based Attendance System Using Deep Learning Algorithm 
    Ferdous, Razayonoor Rahman (Daffodil International University, 2024-01-01)
    The Face Recognition Based Attendance System is an innovative advancement in attendance tracking, combining cutting-edge facial recognition technology with previously established methods. This system provides an effortless, ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...
  • Fake news detection on Bengali linguistic using deep learning approach 
    Shahariar, Shihab (Daffodil International University, 2024-01-01)
    A vast quantity of data and information are available on the internet. Because the internet is so widely available and has resulted in a tremendous growth in the number of online news, people are interested in reading ...
  • A Fine Tune VGG16 Model Based on Ablation Study for Diagnosing Brain Tumor from MRI Images 
    Islam, Rakibul (Daffodil International University, 23-01-29)
    Brain tumor recognition by magnetic resonance imaging (MRI) is crucial because it improves survival rates and allows them to plan treatments accordingly. The patient is at risk if a tumour in the brain, which is made up ...
  • Grape Leaf Diseases Detection Using Deep Learning 
    Jawat, Alif; Rahi, MD. Forhad Hossain (Daffodil International University, 23-02-18)
    Even though a lot of research has been done in this area, classifying grape leaf diseases remains a very difficult task in the agricultural industry. This task is made more challenging by the spread of leaf diseases and ...
  • Handwritten Word Detection Based on Machine Learning Approach 
    Hasan, MD. Sabbir (Daffodil International University, 23-02-18)
    This thesis presents “Handwritten word detection based on machine learning approach”. Handwritten focus is turning into a necessary problem in a number of years however it turns into an assignment to get suitable overall ...
  • Identifying the research field of a scientific paper from the abstract using deep learning approache 
    Sarker, Sudipto (Daffodil International University, 2024-01-24)
    This study explores the application of deep learning to automate the identification of research fields within scientific paper abstracts. The goal is to create a resilient model that effectively categorizes the primary ...
  • A Machine Learning and Deep Learning Approach for Bengali News Headline Categorization 
    Akter, Labony; Zaman, MD Shahriar (Daffodil International University, 23-01-29)
    Internet is a thing through which a huge amount of information and data is available. As the amount of online news is increasing drastically due to the availability of internet in all parts of the world, people are also ...
  • Machine Learning Approach for Bird Detection 
    Mashuk, Farhan; Samsujjoha; Sattar, Abdus; Sultana, Nahida (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Machine Learning Based Approach to Predict Cervical Cancer 
    Omar, Jubail Hossain (Daffodil International University, 2024-01-01)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including cervical cancer disease, drawing considerable attention due to its impact on a large population. The severity of the ...
  • Multi Head Text Mining Applying Deep Learning and Bangla NLP Using COVID-19 Feedback From Students 
    Kobra, Khadijatul; Sammi, Samrina Sarkar (Daffodil International University, 23-02-12)
    The COVID-19 epidemic bound administration all around the globe to lock down their frontier, their companies, their schools, and citizens from leaving their houses unless absolutely required. The mental health of both ...
  • Nationality detection through Eye analysis 
    Shoumik, Shahib Islam (Daffodil International University, 2024-01-01)
    Biometric identification has become increasingly popular as technology progresses, especially with regard to facial and ocular recognition. The study investigates the use of deep learning methods more especially, the ...
  • Papaya Ripeness Prediction Using Machine Learning 
    Islam, MD Iktidar (Daffodil International University, 23-02-18)
    Fruits are a rich source of energy, minerals, and vitamins. Papaya is a perennial fruit of commercial importance due to its high nutritional properties. [13] The packaging of papaya fruit as per its maturity status is an ...
  • Plant Leaf Disease Detection Using Deep Learning Algorithms 
    Labib, Raunak Muhtasim (Daffodil International University, 2024-01-01)
    In the agricultural landscape of Bangladesh, where farming plays a crucial role in the country's economy, the well-being of plants is vital for ensuring food security. The process of photosynthesis, occurring in the ...
  • A Potent Model to Recognize Bangla Sign Language Digits Using Convolutional Neural Network 
    (Md.), Sanzidul Islam; Mousumi, Sadia Sultana Sharmin; Rabby, AKM Shahariar Azad; Hossain, Sayed Akhter; Abujar, Sheikh (Elsevier B.V., 2018-11-19)
    Hearing impaired people have own language called Sign Language but it is difficult for understanding to general people. Sign language is the basic method of communication for deaf people during their everyday of life. Sign ...
  • A Proficient Model to Classify Bangladeshi Bank Notes for Automatic Vending Machine Using a Tiny Dataset with One-Shot Learning Siamese Networks 
    Hossain, Md. Ekram; Islam, Arni; Islam, Md. Sanzidul (IEEE, 2020)
    Automatic vending machine is a necessity at this technological era. It's a step to go toward the vendor-less shop management, which supports the commandment of the 4th Industrial Revolution. But image recognition system ...
  • A Proposed Deep Learning Approach For Detecting Rice Leaf Disease 
    Bhuyan, Md Raju (Daffodil International University, 2024-01-29)
    Rice leaf diseases are a type of plant diseases affecting the leaves of rice crops, causing various kinds of crop damage. These diseases may have major financial effects, hurting both rice quality and production. Using ...

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