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Browsing Project Report by Subject "Neural networks"

Browsing Project Report by Subject "Neural networks"

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  • Ascertaining and Resolving Market Instability by Foretelling Ginger Price in Bangladesh Using Machine Learning Approach 
    Polton, Ahasan Habib (Daffodil International University, 23-02-12)
    The unpredictability of markets and the fluctuation of prices is a feature that is commonplace throughout the entire world, but it is more widespread in Bangladesh. As a direct result of this, the costs of the things we ...
  • Automated Attendance System Using Face Recognition with One-Shot Learning and Siamese Neural Networks 
    Shaik, Md. Abu; Islam, Ashikul (Daffodil International University, 2019-05)
    A face is the identity of a person. Not only human but also machines can now identify a person. Face recognition system is a Bio metric Artificial Intelligence application. Now it is widely used everywhere in the world. ...
  • An Automated CNN Model Based Approach for Apple Leaf Disease Detection 
    Nazneen, Nafisa; Tahera, Khadija Tut (Daffodil International University, 23-02-08)
    This study presents a deep learning approach for the detection of diseases in apple leaves. The method utilizes convolutional neural networks (CNNs) to classify apple leaf images into diseased and healthy categories. The ...
  • Autonomous Driving Comparison Between Neat and Hyperneat Using Pygame 
    Islam, Md. Faridul; Rajoan, Md. Redoy (Daffodil International University, 22-09-12)
    The use of autonomous driving is growing in popularity thanks to manufacturers like Tesla, Waymo, and numerous others. Regardless of autonomous driving, the application of the neuroevolution in neural networks today is ...
  • Bangla Handwritten Character Recognition Using Convolutional Neural Network 
    Hasan, Md. Rajib; Asha, Fatima Tuz Zohora; Zubaer, Talha (Daffodil International University, 2019-04)
    This report presents “Bangla Handwritten Character Recognition using Convolutional Neural Network”. Sample training data, scanned using a modest scanner. Pre-processing steps that follows are skew angle detection and ...
  • Bangla-Accented (Chittagong) Speech Recognition Using Natural Language Processing 
    Ishtiaque, M Shahriar; Bhuiyan, Faraz Ahmed; Shovon, Shazid Nawas (Daffodil International University, 23-02-12)
    Speech recognition has been a very popular topic for the students of computer science and engineering. Over time, with the advancement of technology, we can now recognize Bengali speech as well. But people from all corners ...
  • Bangladeshi Paddy Yield Prediction Using Machine Learning 
    Santa, Sadia Afrin; Ahmed, Md. Istiaq; Tutul, Md. Abu Sufian (Daffodil International University, 23-01-29)
    Rice is the staple food for Bangladesh's population of 135 million. It provides two-thirds of the region's total calorie supply and half of its total protein consumption, supports nearly half of all rural jobs, and accounts ...
  • Bank Note Detection Using Deep Learning Techniques 
    Roy, Sojib; Satu, Kh. Munsura Akter (Daffodil International University, 23-02-18)
    This report presents a Bangladeshi Banknote detection system using a Deep Convolutional Neural Network. This project is usually designed for people who do not recognize or cannot see the Bangladeshi banknotes. Visually ...
  • A Bengali Word Identification and Verification Using Machine Learning Approach 
    Hasan, Md. Shakibul; Rana, Masud; Rahman, Nasim Bin (Daffodil International University, 2022-01-04)
    The research project is mainly based on image classification. We also showed a path to Optical Character Recognition. If we are to define Optical Character Recognition is basically a technology which can change over a ...
  • Brain Tumor Analysis Using Deep Neural Network 
    Khan, Iftekhar; Ahsan, Kuheli (Daffodil International University, 2021-05)
    The identification of tumors is one of the most tenacious and emerging fields in medical image processing. A tumor means the unrestricted existence of a bunch of cells in a precise area of the human body which destroys ...
  • Classifying Kidney Disease Using Deep Learning Algorithmsr 
    Akter, Amina (Daffodil International University, 23-01-29)
    Deep learning algorithms in clinical imaging for the kidney in stomach computed tomography (CT) images have been constrained. Due to this, our main goal is to apply deep learning models along with a suggested training ...
  • A Comprehensive Study of DCNN Algorithms Based Transfer Learning for Human Eye Cataract Detection 
    Paul, Susmoy; Jidan, MD. Omar Jilani (Daffodil International University, 23-02-12)
    Cataract, a common eye disorder characterized by clouding of the lens, is a leading cause of vision loss. Each year numerous numbers of people are falling sufferer to visionary loss globally. The majority of the time, ...
  • A Computer Vision and deep CNN Modeling for Spices Recognition 
    Talukder, Md. Maruf Hasan; Ria, Tania Aktar (Daffodil International University, 23-01-29)
    In the countries of South Asia, there is a significant appetite for the consumption of spices. Each type of spice offers a distinctive flavor, aroma, and quality. People are unable to identify spices and do not make effective ...
  • A Convolution Neural Network Based Classification Approach for Recognizing Traditional Foods of Bangladesh from Food Images 
    Islam, Romyull; Tasnim, Nishat (Daffodil International University, 2019-05)
    Research has become one of the most talked buzzwords in the modern era due to knowledge development and practical improvement obtained by research papers. However, choosing the exact research topic from the vast ocean of ...
  • A Convolutional Neural Network Based Potato Leaf Diseases Detection Using Sequential Model 
    Bonik, Choyon Chandra; Akter, Flora; Rashid, Md. Harunur (23-01-29)
    One of Bangladesh's primary agricultural products is the potato. In recent decades, Bangladesh has seen a surge in the popularity of potato farms. Nonetheless, farmer’s expenses in potato production are rising as a result ...
  • Cow Disease Recognition Using Convolutional Neural Network 
    Mahfuzullah, Md.; Bin Hasan, Asif (Daffodil International University, 2022-01-04)
    In the South Asian region, cow illness is a regular occurrence. Every season, poor rural residents, as well as dairy farm owners, face the same issue. Dairy farming is a large and developing agricultural sector in ...
  • 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 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 ...
  • Detection of Breast Cancer from Ultrasound Imaging using Deep Learning Model 
    Raz, Maruful Islam; Akter, Sharmin (Daffodil International University, 23-02-18)
    The second most common cause of mortality for women is breast cancer. Female death rates can be decreased if breast cancer is found early. For early cancer detection, an automated system is needed because manual breast ...
  • 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 ...

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