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Browsing by Subject "Deep Learning"

Browsing by Subject "Deep Learning"

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  • DCNN-based Vegetable Image Classification Using Transfer Learning: 
    Ahmed, M. Israk; Mamun, Shahriyar Mahmud; Asif, Asif Uz Zaman (2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), IEEE, 2021-06-29)
    In this paper, an attempt is addressed towards accurate vegetable image classification. A dataset consisting of 21,000 images of 15 classes is used for this classification. Convolutional neural network, a deep learning ...
  • Deep Learning and Transfer Learning Techniques For Alzheimer's Detection From Mri Image 
    Toha, A. S. M. (Daffodil International University, 2024-01-21)
    Alzheimer's disease is a prevalent neurological condition affecting millions globally, necessitating early identification for effective management and timely intervention. Recently, deep learning techniques have emerged ...
  • A Deep Learning Approach to Analyzing Active Working Hours of Employees 
    Islam, Tanvirul (Daffodil International University, 22-12-14)
    It is conceivable to see how active each individual is at work by observing their various physical postures and gestures. With conventional systems, it is hard to constantly monitor every employee and make the best use ...
  • 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 Models To Diagnose Brain Stroke 
    Mahmud, Asif; Islam, Raisul (Daffodil International University, 23-02-18)
    Brain Hemorrhage has gotten to be an extreme issue in the world. Brain Hemorrhage is also called ‘Brain Stroke’ in our country. The amount of the stroke may be a particularly difficult process among all of them; the brain ...
  • Detection and Classification of Road Damage Using Deep Learning Approach With Smart Phone Images 
    Shila, Sharmin; Bayshakhy, Fahima Taher; Mitu, Sumaia Zannat (Daffodil International University, 23-01-29)
    In cities, road surface monitoring is mostly done by hand which is a time-consuming and labor-intensive procedure. One of the most critical responsibilities is infrastructure maintenance work for traffic safety. To keep ...
  • Detection of Tomato Diseases Leaf Symptoms Using Image Processing Deep Learning Based Approach 
    Islam, Md. Arifin (Daffodil International University, 23-01-18)
    Tomato is most popular vegetable all over the world. It’s cultivated of high nutritive value. During cultivation tomato leaves expose too many problems and diseases like blight, bacterial spot, early blight, healthy, late ...
  • Developing a Machine Learning-Based Predictive Model for Early Sepsis Diagnosis Using Electronic Health Records 
    Ghosh, Chayon (Daffodil International University, 2023-12-01)
    Sepsis is a potentially fatal illness that needs to be identified quickly in order to enhance patient outcomes. Unfortunately, because of its non-specific symptoms, early detection can be difficult. Predictive models for ...
  • Diabetic Foot Ulcer Detection Using Faster R-CNN Algorithm 
    Protik, Pranta; Rahaman, G M Atiqur (BDPF Publications, 2022-11-05)
    Diabetic Foot Ulcer (DFU) is one of the major health complications for people with diabetes, which, if not detected at the early stage and treated properly, may lead to amputation and sometimes life-threatening situations. ...
  • Disease Detection of Patato Using Deep Learning 
    Siddique, Abu Bakar (Daffodil International University, 2018-05)
    Computational analysis of plant disease is a challenging and interesting task in now a day. In this paper, I study on how to detect plant disease (potato late-blight) more accurately and give them solutions. Here I ...
  • Drumstick Leaf Detection by Machine Learning Approach 
    Nasrullah, Md (Daffodil International University, 23-01-29)
    This project titled “Drumstick Leaf Detection by Machine Learning Approach “. The traditional method of image recognition is to extract features manually, which cannot solve this problem well due to the complex background ...
  • An Early Recognition Approach for Okra Plant Diseases and Pests Classification Based on Deep Convolutional Neural Networks 
    Hridoy, Rashidul Hasan; Afroz, Maisha; Ferdowsy, Faria (Scopus, 2021)
    The issue of effective plant disease and pest prevention is compactly connected to the issues of sustainable agronomics and climate change. Okra plant diseases and pests cause intense monetary losses to the growing okra ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

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