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Browsing by Subject "Deep learning"

Browsing by Subject "Deep learning"

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  • 3A comparative Study on Sentiment Analysis for Bengali Language Based on LSTM in F-Commerce 
    Rudro, Mahafozur Rahman; Wahid, Md Faysal; Islam, Md Ariful; Ria, Nushrat Jahan (Daffodil International University, 2023-08-03)
    LSTMs are a type of RNN cell that regulates incoming and outgoing information using text-processing-specific gates. Online retailers, as we all know, have been extremely popular in recent years. Many social media sites, ...
  • An Advanced Method of Identifying Fresh and Rotten Fruits Using Deep Learning 
    Miah, Md. Sohel; Tasnuva, Tayeeba (Daffodil International University, 2021-05)
    Fruit classification is crucial in a variety of industries. This hierarchy aids sellers in various supermarkets in identifying fruit species and, as a result, impacts prices. The classification procedure makes it simple ...
  • Advances in Artificial Intelligence Based Diagnosis and Treatment of Liver Diseases – Correspondence 
    Chakraborty, Sandip; Chandran, Deepak; Chopra, Hitesh; Akash, Shopnil; Dhama, Kuldeep (Bangladesh Medical Research Council, 2023-06-14)
    A large volume of patient data (multimodal) is generated by medical care in modern times. Processing and synthesis of such data to actionable knowledge is troublesome for several clinicians. In this regard, there is an ...
  • AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images 
    Shamrat, F M Javed Mehedi; Akter, Shamima; Azam, Sami; Karim, Asif; Ghosh, Pronab; Hasib, Khan Md.; Boer, Frisode; Ahmed, Kawsar (IEEE, 2023-02-14)
    Alzheimer’s disease is largely the underlying cause of dementia due to its progressive neurodegenerative nature among the elderly. The disease can be divided into five stages: Subjective Memory Concern (SMC), Mild Cognitive ...
  • Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning 
    Palanivinayagam, Ashokkumar; Panneerselvam, Ramesh Kumar; Kumar, P. J.; Rajadurai, Hariharan; Maheshwari, V.; Allayear, Shaikh Muhammad (Daffodil International University, 2022-08-12)
    The novel coronavirus 2019 (COVID-19) disease is a pandemic which affects thousands of people throughout the world. It has rapidly spread throughout India since the first case in India was reported on 30 January 2020. The ...
  • Application of Transfer Learning to Detect Potato Disease from Leaf Image 
    Islam, Farabee; Hoq, Md Nazmul; Rahman, Chowdhury Mofizur (2019 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2019, IEEE, 2019-11-19)
    Potato is one of the most significant crops over the world. But production of potato is hampered due to some diseases which cause an increase of the cost as well as affect the life of the farmers. An automatic and early ...
  • Arabian Date Classification Using CNN Algorithm with Various Pre-trained Models 
    khayer, Md.Abu; Hasan, Md.Sakibul; Sattar, Abdus (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The people of Bangladesh have a lack of knowledge to detect fruit so many consumers suffer when they go to buy fruit every day. We know it is very difficult for consumers to detect the class of date on their naked eyes. ...
  • An Attention Based Approach for Sentiment Analysis of Food Review Dataset 
    Bhuiyan, Md. Rafiuzzaman; Mahedi, Mahmudul Hasan; Hossain, Naimul; Tumpa, Zerin Nasrin; Hossain, Syed Akhter (IEEE, 2020)
    Sentiment Analysis is a technique related to text analysis and natural language processing used to detect various types of insights or information from a portion of text. Over the past few years, researchers have done many ...
  • Attention Deficit Hyperactivity Disorder Detection Using Deep Learning Approach 
    Hamim, Md Abrar; Tanmoy, F.M.; Tasfia, Orin; Juthi, Farzana Alam (IEEE, 2023-11-23)
    ADHD, a neurodevelopmental disorder characterized by hyperactivity, inattention, and impulsivity, has many detrimental impacts and is out of proportion to age. ADHD causes executive failure and emotional instability, which ...
  • Automated Attendance System Using Deep Learning 
    Al-Mahmud, Zubayer (Daffodil International University, 2021-06-03)
    In this modern age Attendance System becomes automated thanks to time saving, efficient and useful method decreasing administration’s and organization’s strain. Attendance system is important to classroom evaluation, ...
  • 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 ...
  • Automated Dhaka City Vehicle Detection for Traffic Flow Analysis Using Deep Learning 
    Islam, Md. Tanvir (Daffodil International University, 2021-06-13)
    There are many ways to stop traffic jams from spreading, and one of the most effective is to detect the vehicle. The uniqueness of Dhaka's traffic situation creates a complicated and difficult occurrence, with over eight ...
  • Automated Dhaka City Vehicle Detection for Traffic Flow Analysis Using Deep learning 
    Islam, Minhajul (Daffodil International University, 2021-06-15)
    There are many ways to stop traffic jams from spreading, and one of the most effective is to detect the vehicle. The uniqueness of Dhaka's traffic situation creates a complicated and difficult occurrence, with over eight ...
  • An Automated Navigation System for Blind People 
    Rahman, Md. Atiqur; Siddika, Sadia; Al-Baky, Md. Abdullah; Mia, Md. Jueal (Daffodil International University, 2022-02-01)
    Proper navigation and detailed perception in familiar or unfamiliar environments are the main roles for human life. Eyesight sense helps humans to abstain from all kinds of dangers and navigate to indoor and outdoor ...
  • Automatic Detection and Recognition of Fish to Help Visually Impaired People 
    Raihan, Ashif; Monju, Md. Zahed Hossain (Daffodil International University, 2021-06)
    This paper explores fish identification for blind people utilizing multi-image recognition including deep learning techniques. Our system was built using Speech Recognition to support blind people in knowing about various ...
  • Automatic Detection of Cases of COVID-19 Pneumonia from Chest X-ray Images and Deep Learning Approaches 
    Al Halbusi, Hussam; Alhaidan, Homoud; Ramayah, T.; Cheah, Jun- Hwa (Daffodil International University, 2022-09-21)
    Machine learning has already been used as a resource for disease detection and health care as a complementary tool to help with various daily health challenges. The advancement of deep learning techniques and a large amount ...
  • Automatic Emotion Detection From Bangla Text Using Deep Learning Approach 
    Tafannum, Anika; Nodi, Ismatara (Daffodil International University, 23-02-12)
    Emotion recognition involves identifying and interpreting the emotions of an individual, which can be conveyed through facial expressions, verbal communication, or written text. Bengali, a low-resource language, has seen ...
  • Bangla E-Mail Body to Subject Generation Using Sequence to Sequence RNNs 
    Hamim, Md Abrar; Talukder, Moyin; Haque, Afraz Ul; Reza, Md. Selim; Alim, Md. Samiul; Niloy, Asif Iquebal (IEEE, 2023-11-24)
    "In recent years, subject generation has emerged as one of the major challenges for deep learning and natural language processing (NLP). A brief comment on a lengthy email body is condensed in the subject generation. ...
  • Bangla Fake News Detection Using Machine Learning and Deep Learning Methods 
    Tusher, Shakib Ahmed; Shawan, Md.Shameem Alam; Akter, Mst.Farhana (Daffodil International University, 2022-01-04)
    Fake news detection is as important as cleaning crime from the society. In this digital era spreading violence and manipulating people deception towards an issue become very easy than ever. More and more authentic news ...

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