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Browsing by Subject "Neural network"

Browsing by Subject "Neural network"

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  • Bangla Continuous Handwriting Character and Digit Recognition Using CNN 
    Hasan, Fuad; Shuvo, Shifat Nayme; Abujar, Sheikh; Mohibullah, Md.; Hossain, Syed Akhter (Springer, 2020-03-04)
    There are several works in Bangla handwritten character recognition. Here a new methodology proposed to recognize the character from continuous Bangla handwritten character. The system’s main components are preprocessing, ...
  • 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 ...
  • Classification of Succulent Plant Using Convolutional Neural Network 
    Hasan, Md. Zahid; Rakshit, Aniruddha; Das, Ashik Kumar; Iqbal, Md. Asif; Paul, Bidhan (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    Machine learning methods such as deep neural networks have remarkably improved plant species classification in recent years. It is very challenging task to classify plant species based on their categories. In this work, ...
  • Classifying the Usual Leaf Diseases of Paddy Plants in Bangladesh Using Multilayered CNN Architecture 
    Abdullahil-Oaphy, Md.; Bhuiyan, Md. Rafiuzzaman; Islam, Md. Sanzidul (Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, Springer, 2020-11-28)
    More than 130 million people in Bangladesh depend on rice as their main food. Half of the employment of the rural area and the agricultural GDP of Bangladesh depend on rice production. Nearly more than 10 million farmer ...
  • Crime Detection and Criminal Recognition to Intervene in Interpersonal Violence Using Deep Convolutional Neural Network with Transfer Learning 
    Haque, Mohammad Reduanul; Hafiz, Rubaiya; Al Azad, Alauddin; Adnan, Yeasir; Akter, Sharmin; Khatun, Amina; Uddin, Mohammad Shorif (International Journal of Ambient Computing and Intelligence, 2021)
    Interpersonal violence, such as physical and sexual abuse, eve-teasing, bullying, and taking hostages, is a growing concern in our society. The criminals who directly or indirectly committed the crime often do not go into ...
  • Design and Analysis of Guided Modes in Photonic Waveguides Using Optical Neural Network 
    Anika, Nusrat Jahan; Mia, Md Borhan (Optic, Elsevier, 2021-02)
    We present a deep learning approach using an optical neural network to predict the fundamental modal indices  in a silicon (Si) channel waveguide. We use three inputs, e.g., two geometric and one material properties, and ...
  • hActNET 
    Chowdhury, Atiqul Islam; Ashraf, Mohsena; Islam, Ashraful; Ahmed, Eshtiak; Jaman, Md. Saroar; Rahman, Mohammad Masudur (Scopus, 2020)
    Human activity recognition (HAR) is considered as one of the most difficult and challenging issues now a days. Many experiments are now in progress regarding this problem. Among many human activities, mostly six are ...
  • Hand Gesture Recognition Using Image Segmentation and Deep Neural Network 
    Rony, Md Rashad Al Hasan; Alam, Mirza Mohtashim (Proceedings of SPIE - The International Society for Optical Engineering, 2019-03-15)
    Sign language is a medium of communication for a person with an auditory and verbal disability or deficiency. Therefore, it is essential to understand their hand gestures without difficulty in order to have effortless and ...
  • Handwritten Changma Numerals Recognition Using Capsule Networks 
    Hasan, Md Zahid; Hasan, K. M. Zubair; Hossain, Shakhawat; Al Mamun, Abdullah; Assaduzzaman, Md (2019 5th International Conference on Advances in Electrical Engineering, IEEE, 2019-09-28)
    Handwritten digit recognition is assumed to be a huge part in numerous authentication applications in the state-of-art technologies. As the manually written digits are not always found in similar size, thickness, style and ...
  • Identification of Construction Era for Indian Subcontinent Ancient and Heritage Buildings by Using Deep Learning 
    Hasan, Md. Samaun; Kabir, S. Rayhan; Akhtaruzzaman, Md.; Sadeq, Muhammad Jafar; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Uddin, Md. Salah; Rahman, Mizanur; Forhat, Rokeya; Haque, Rafita; Arju, Hosne Ara; Ali, Mohammad (Springer, 2020-10-22)
    The Indian subcontinent is a south geographic part of Asia continent which consists of India, Bangladesh, Pakistan, Sri Lanka, Bhutan, Nepal, and Maldives. Different rulers or the empire of different periods have built ...
  • IntAnti-Phish 
    Rahman, Sheikh Shah Mohammad Motiur; Gope, Lakshman; Islam, Takia; Alazab, Mamoun (Studies in Computational Intelligence , Springer, 2020-12-15)
    Among the cybercriminals, the popularity of phishing has been rapidly growing day by day. Therefore, phishing has become an alarming issue to solve in the field of cybersecurity. Many researchers have already proposed ...
  • IOT Based Smart Health Monitoring System for Diabetes Patients Using Neural Network 
    Efat, Md. Iftekharul Alam; Rahman, Shoaib; Rahman, Tasnim (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    In improvement of the quality of health care services, Internet of Things (IoT) has evolved rapidly for monitoring patient from distance. However, notifying health status based on continuous change of health condition for ...
  • Jute Leaf Disease Prediction Using Deep Neural Network 
    Islam, Md. Ariful; Sharif, Md. Shahin; Kafi, Md. Abdullahel; Arefin, Md. Shamsul (Daffodil International University, 2018-12-09)
    Deep constitutional neural network is a diverting area where research researches and achievement are taking geometrical progress in the agriculture field. Various researches are going on vigorously in plant diseases ...
  • LFNNR 
    Zim, Md Ziaul Haque; Sarkar, Md Sazzad; Nisi, Zeba Fauzia; Das, Nimai Chandra (IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), IEEE, 2021-04-09)
    Humans and animals have a brain and nervous system, and they process in-formation with neural networks. Trillions of neurons (nerve cells) exchanging brief electrical pulse called action potentials form neural networks. ...
  • Neural Network Based Bengali News Headline Multi Classification System 
    Khushbu, Sharun Akter; Masum, Abu Kaisar Mohammad; Hossain, Syed Akhter (11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020 , IEEE, 2020-07-01)
    The modern era is gradually developing in all sectors. Moreover, development is necessary to research. Accordingly natural language processing is the expanding area of process text. At present year, memorizing the data is ...
  • Ornament Fish Classification Using Deep Neural Network 
    Nahid, Abir Hasan (Daffodil International University, 2021-06-02)
    Ornamental fish are the most important fishing commodity in the world in terms of unit weight, with a global export volume of about 350 million dollars. Ornamental fish are grown using the same simple technology and ...
  • Recognition of Mango Leaf Disease Using Convolutional Neural Network Models 
    Rajbongshi, Aditya; Khan, Thaharim; Rahman, Md. Mahbubur; Pramanik, Anik; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (Indonesian Journal of Electrical Engineering and Computer Science, 2021)
    The acknowledgment of plant diseases assumes an indispensable part in taking infectious prevention measures to improve the quality and amount of harvest yield. Mechanization of plant diseases is a lot advantageous as it ...
  • Rice Disease Detection Based on Image Processing Technique 
    Rahman, Md. Asfaqur; Shoumik, Md. Shahriar Nawal; Rahman, Md. Mahbubur; Hena, Most. Hasna (Springer, 2021)
    Rice plant diseases are major problems in Bangladesh. Detection and monitoring of these rice plant diseases is a critical issue. Rice plants are affected in various kind of disease like hispa, brown spot, and leaf blast ...
  • SQL Injection Vulnerability Detection Using Deep Learning 
    Hassan, Md. Maruf; Ahmad, R. Badlishah; Ghosh, Tonmoy (Indonesian Journal of Electrical Engineering and Informatics, 2021)
    SQL injection (SQLi), a well-known exploitation technique, is a serious risk factor for database-driven web applications that are used to manage the core business functions of organizations. SQLi enables an unauthorized ...

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