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Browsing Articles by Subject "Deep learning"

Browsing Articles 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, ...
  • 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 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 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 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 ...
  • 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 Handwritten Digit Recognition Using Convolutional Neural Network 
    Rabby, AKM Shahariar Azad; Abujar, Sheikh; Haque, Sadeka; Hossain, Syed Akhter (Advances in Intelligent Systems and Computing, Springer, 2018-12-12)
    Handwritten digit recognition has always a big challenge due to its variation of shape, size, and writing style. Accurate handwritten recognition is becoming more thoughtful to the researchers for its educational and ...
  • Bengali Abstractive Text Summarization Using Sequence to Sequence RNNs 
    Talukder, Md Ashraful Islam; Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Faisal, Fahad; Hossain, Syed Akhter (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-07-08)
    Text summarization is one of the leading problem of natural language processing and deep learning in recent years. Text summarization contains a condensed short note on a large text document. Our purpose is to create an ...
  • Bengali Named Entity Recognition 
    Rifat, Md Jamiur Rahman; Abujar, Sheikh; Noori, Sheak Rashed Haider; Hossain, Syed Akhter (2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2019-07-08)
    Sequence labeling is a complex task in natural language processing where the data set used to be biased to a specific class mainly to “not named entity” class. Previously several machine learning approaches were harnessed ...
  • Bengali News Headline Generation on the Basis of Sequence to Sequence Learning Using Bi-Directional RNN 
    Masum, Abu Kaisar Mohammad; Islam, Md. Majedul; Abujar, Sheikh; Sorker, Amit Kumer; Hossain, Syed Akhter (Scopus, 2021)
    The newspaper provides significant information every day. Each news describes every event largely, but the headline contained a summary of the news. A meaningful headline is very good for a reader who can understand the ...
  • A Bengali Text Generation Approach in Context of Abstractive Text Summarization Using RNN 
    Abujar, Sheikh; Masum, Abu Kaisar Mohammad; Islam, Md. Sanzidul; Faisal, Fahad; Hossain, Syed Akhter (Lecture Notes in Networks and Systems, Springer, 2020-03-04)
    Automatic text summarization is one of the mentionable research areas of natural language processing. The amount of data is increasing rapidly, and the necessity of understanding the gist of any text is just a mandatory ...
  • Brain MRI Classification for Alzheimer’s Disease Based on Convolutional Neural Network 
    Saiful, Md.; Saha, Arpita; Mim, Faria Tabassum; Tasnim, Nafisa; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2023-12-20)
    Alzheimer’s disease is a severe disorder of the brain that gradually increases and affects the function of the brain. It mainly affects middle-aged people or old aged person. Many researchers tried to train their model to ...
  • Brain Tumor Detection by Kapton Polyimide Based On-Body Patch Antenna in K Band 
    Eshan, Sumit Hassan; Hasan, Raja Rashidul; Sarker, Abdullah Al Mamun; Zabin, Sadia; Tusher, Raja Tariqul Hasan; Rahman, Md. Abdur (IEEE, 2023-03-21)
    This paper is all about to design an antenna for brain tumor detection using a novel material Kapton polyimide. A brain tumor, which has the potential to spread throughout the body and result in cancer, is one of the worst ...
  • BrainNet-7 
    Rashid, Md. Harun-Or; Akter, Salma; Akhi, Amatul Bushra (Daffodil International University, 2022-01-20)
    Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic ...

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