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Browsing by Subject "Neural networks"

Browsing 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 ...
  • Assessing Lake Water Quality During COVID-19 Era Using Geospatial Techniques and Artificial Neural Network Model 
    Mohinuddin, S.K.; Sengupta, Soumita; Sarkar, Biplab; Saha, Ujwal Deep; Islam, Aznarul; Islam, Abu Reza Md Towfiqul; Hossain, Zakir Md; Mahammad, Sadik; Ahamed, Taushik; Mondal, Raju; Zhang, Wanchang; Basra, Aimun (Springer, 2023-04-24)
    The present study evaluates the impact of the COVID-19 lockdown on the water quality of a tropical lake (East Kolkata Wetland or EKW, India) along with seasonal change using Landsat 8 and 9 images of the Google Earth Engine ...
  • An Automated Approach for Eggplant Disease Recognition Using Transfer Learning 
    Saad, Izazul Haque; Islam, Md. Mazharul; Himel, Isa Khan; Mia, Md. Jueal (Daffodil International University, 22-10-08)
    In Bangladesh, eggplant is a widely grown crop that is vital to the country’s food security. The vegetable is consumed on a regular basis by the majority of people. Since Bangladesh’s economy is heavily reliant on agriculture, ...
  • 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. ...
  • Automated Brain Disease Classification using Transfer Learning based Deep Learning Models 
    Alam, Farhana; Tisha, Farhana Chowdhury; Rahman, Sara Anisa; Sultana, Samia; Chowdhury, Md. Ahied Mahi; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Daffodil International University, 2022-10-05)
    Brain MRI (Magnetic Resonance Imaging) classification is one of the most significant areas of medical imaging. Among different types of procedures, MRI is the most trusted one to detect brain diseases. Manual and semi-automated ...
  • 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 ...
  • An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection 
    Islam, Md. Ashiqul; Shuvo, Md. Nymur Rahman; Shamsojjaman, Muhammad; Hasan, Shazid; Hossain, Md. Shahadat; Khatun, Tania (International Journal of Advanced Computer Science and Applications(IJACSA), 2021)
    Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the key producing crop in Bangladesh. In the last 11 years, the part of agriculture in Bangladesh's Gross Domestic Product (GDP) was ...
  • 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 ...
  • Bacterial Strain Classification using Convolutional Neural Network for Automatic Bacterial Disease Diagnosis 
    Trivedi, Sandeep; Patel, Nikhil; Faruqui, Nuruzzaman (IEEE, 2023-02-22)
    Diseases caused by bacterial contamination are common causes of human illness. Different bacterial strains are responsible for different types of diseases. There are more than 4,900 different strains so far have been ...
  • Bangla Handwritten 
    Jaman, Sadia; Sovon, Mehadi Hassan; Raihanuzzaman, Syed; Hasan, Md. Mehadi; Nabi, Nusrat; Ahamed, Md. Sazzadur (Daffodil International University, 2023-11-07)
    The difficulty of handwritten character identification varies by language, owing to differences in shapes, lines, numbers, and size of characters. There are several studies for the identification of handwritten characters ...
  • 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 Indigenous Fish Classification Using Convolutional Neural Networks 
    Dey, Krishno; Hassan, Md. Mustahid; Rana, Md. Masud; Hena, Mst. Hasna (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-21)
    Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes the only source of protein in the rural household of Bangladesh. Moreover, thousands of peoples of Bangladesh are directly and ...
  • Bangladeshi Indigenous Fish Classification Using Convolutional Neural Networks 
    Dey, Krishno; Hassan, Md. Mustahid; Rana, Md. Masud; Hena, Mst. Hasna (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes the only source of protein in the rural household of Bangladesh. Moreover, thousands of peoples of Bangladesh are directly and ...
  • 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 ...

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