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Browsing Faculty of Science and Information Technology by Subject "Neural networks"

Browsing Faculty of Science and Information Technology by Subject "Neural networks"

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  • Age, Gender & Emotion Detection Using CNN For Retail Analytics Customer Profiling 
    Bushra, Rubaiya Razin (Daffodil International University, 22-12-08)
    These days computerized age & gender detection is a completely exciting research topic. For My this studies, when someone enters a retail shop, his or her photo is captured via the security camera. That image will be ...
  • Apple and Orange Diseases Detection Using Deep Learniing Techniques 
    Faraduzzaman, G M (Daffodil International University, 23-01-18)
    We know that Bangladesh is an agricultural country where almost all people are dependent on agriculture. In today's world where everyone is health conscious, the ability to identify fruits by quality is very important in ...
  • An Application of Deep Transfer Learning To Detect Lychee Leaf Disease 
    Jisan, Tareq Rahman (Daffodil International University, 23-02-18)
    Bangladesh is a primarily agricultural nation. The majority of people depend on agriculture. Our nation of Bangladesh also heavily relies on agriculture. In the current state of affairs, it is crucial that we increase the ...
  • An Approach for Detecting Rice Leaf Disease Using Convolutional Neural Network 
    Hossain, Sajib; Hasan, Md. Mahabub (Daffodil International University, 2019-12-05)
    Our Agriculture is mainly based on rice. Almost 75% of our agricultural land is covered by rice field. 28% of GPD comes from rice. Rice production is being increased every year. But due to leaf disease our farmers are ...
  • 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 ...
  • Automated Methods To Detect and Classify Lung & Colon Cancer Using Image Processing and Deep Learning Algorithm 
    Huda, Nesma (Daffodil International University, 23-01-29)
    One of the most hazardous and severe diseases that people experience globally is colon and lung cancer, which has spread to become a common medical issue. It is very important to make a reliable and early discovery to ...
  • 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 ...
  • Classification of Immunity Booster Medicinal Plants Using CNN 
    Musa, Md. (Daffodil International University, 2020-12-31)
    Environment has blessed us with various kinds of plants. Some of them uses as resources of medicines as it is called medicinal plant. In Bangladesh medicinal plants are also known as Ayurvwda, Homeopathy and Unani. Expert ...
  • Classify blood cell subtypes Using Deep Learning Techniques 
    Luna, Fariha Zannat (Daffodil International University, 23-03-01)
    This work describes a technique for retrieving White blood cells (WBCs) employing blood microscopic images, identifying them, variety of WBC. A new challenge in the medical sector is diagnosing by comparing the number of ...
  • 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 ...

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