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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

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  • Face Recognition Based Attendance System Using Deep Learning Algorithm 
    Ferdous, Razayonoor Rahman (Daffodil International University, 2024-01-01)
    The Face Recognition Based Attendance System is an innovative advancement in attendance tracking, combining cutting-edge facial recognition technology with previously established methods. This system provides an effortless, ...
  • Face Recognition Based on LBPH Algorithm 
    Nasim, A S M; Hasib, Md. Ahasan; Nahid, Nazmul Hasan (Daffodil International University, 2019-09-12)
    In this paper, we propose a face detection and recognition system based on computer vision of improving security issues. Here, we propose our research by applying significant experiments to test the performance of machine ...
  • Face Recognition for Ensuring Security in University Campus 
    Bhuiyan, Pranta Kumer; Emon, Md. Shaheed Uddin; Moon, Parves Ahmed (Daffodil International University, 2018-11)
    Face recognition is one of the most popular topics in research at present. It makes a new way in the biometrics field. It is possible for a machine to know individuals, known and unknown for this purpose called face ...
  • Face Recognition in E-Attendance System 
    Moniruzzaman (Daffodil International University, 23-01-29)
    I offer a theoretical explanation for the neurological, perceptual, and cognitive variations that are discernible in the individuation of faces and the categorisation of objects at the entry- and subordinate-levels. After ...
  • Face Recognition with and Without Mask Using Machine Learning Approach 
    Rahman, Md. Ashikur; Masum, Mizanur Rahman (Daffodil International University, 23-01)
    The global spread of COVID-19 has had an immediate effect on our everyday lives by disrupting international commerce and transportation. Mask use is highly recommended to prevent the spread of illness. Consequently, covering ...
  • Facial Emotion Detection in Real Time using Machine Learning 
    Akter, Nafia (Daffodil International University, 2019-09-12)
    Emotion is a key component in a person’s life. Anyway at some point it is hard to comprehend feelings that an individual need to express.What's more, comprehend feelings conveyed in such continuously because of mind ...
  • Facial Emotion Recognition Using Convolutional Neural Network 
    Shakib, Shakiur Rahman (Daffodil International University, 2021-09-09)
    Human face emotion recognition is an easy thing, but it is difficult when someone uses an algorithm to do this. It's a powerful task and also challenging. Six categories of human face emotion are recognized here. ...
  • Facial Emotion Recognition With Sentiment Analysis From Real-Time Image: A Deep Learning Approach 
    Tanha, Azlina (Daffodil International University, 23-03-01)
    Deep learning and machine learning have become more important in current technologies. AI-based computer technology is used for facial detection, identification, and the detection of facial emotions. "Deep Learning" is a ...
  • Facial Expression Detection using Machine Learning 
    Tawhidul, Md.; Akhi, Asma Sadia; Eva, Nusrat Jahan (Daffodil International University, 2021-01-28)
    Now-a-days people are very much comfortable with images, anything in an image is representation of something. Also a human face is representation of a facial expression. From a human image we can find facial expression ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...
  • Facial Expression Recognition using Machine Learning 
    Nabila, Nishat Tasnim; Umayra, Ebnath (Daffodil International University, 2022-02-24)
    This is a research based project named “FACIAL EXPRESSION RECOGNOTIONUSING MACHINE LEARNING.” Nowadays, Machine Learning(ML) has played a vital role in modern technology. For facial detection, recognition, and detection ...
  • Facial Recognition Robot with Voice Control by Smartphone 
    Hasib, Md. Abdul; Bir, Subrata; Pavel, Bakibillaha (Daffodil International University, 2021-01-14)
    Regarding the development of modern technology, we are not only using the machine but also, we are connected with it in so many ways. For different reasons, the products which are producing from software industries is ...
  • Facial Sentiment Recognition using Convolutional Newral Network 
    Ahmmed, Md. Nasiruddin; Islam, Md. Shoriful (Daffodil International University, 2019-09-12)
    In this paper, we apprise seven feelings and poor and nice emotion consciousness manners using facial pictures and the improvement of software program-based totally on the method. In previous researches, there are ...
  • Factors Affecting Admission Into Post graduation Programs Among Bangladeshi Graduates 
    Shahriar, S M (Daffodil International University, 23-01-18)
    This thesis titled “Factors Affecting Admission into Postgraduation Programs Among Bangladeshi Graduates” is used machine learning algorithms to determine whether students are interested or not the admit or completing the ...
  • The Factors of User Satisfaction on Online Shopping 
    Rahman, Md. Shohanur (Daffodil International University, 2020-07-09)
    Our thesis “The factors of user satisfaction on online shopping” is based on online shopping which is a well-known phenomenon around the world. Bangladesh is not so far behind. A good number of online shops are getting ...
  • Fake Hilsa Detection Using Machine Learning Algorithm 
    Islam, Merajul; Rahman, Abdur; Ani, Jannatul Ferdous (Daffodil International University, 2021-06-01)
    Hilsa is the national fish of Bangladesh. Bangladesh is earning a lot of foreign currency by exporting this fish. Unfortunately, in recent days some unscrupulous businessmen are selling fake Hilsa fishes to gain profit. ...
  • Fake Image Detection Using Convolutional Neural Network 
    Ahmad, Md Fahad; Khan, Zobaer (Daffodil International University, 2019-09-13)
    Nowadays many fake images are expanded through digital media and many newspapers. Images are often directed with the intent and purpose of benefiting one party. In fact, the images are often seen as the reveal of a fact ...
  • Fake news detection on Bengali linguistic using deep learning approach 
    Shahariar, Shihab (Daffodil International University, 2024-01-01)
    A vast quantity of data and information are available on the internet. Because the internet is so widely available and has resulted in a tremendous growth in the number of online news, people are interested in reading ...
  • Fake News Detection Using Data Mining Techniques 
    Hasan, MD: Mehedi; Harun-Or-Rashid, MD: (Daffodil International University, 2019-12-10)
    Social Media is becoming the most popular web site to seek news day by day because of the easy access facility worldwide. It’s very cost-effective and people can easily collect news & entertainment from any corner of the ...
  • Fake News Detection Using Machine Learning 
    Mahfuz, Rahat; Musa, Mahmudul Hasan (Daffodil International University, 23-03-29)
    Fake news on social media and other platforms is widespread, and it is a reason for great concern because of its potential to inflict significant social and national harm with negative consequences. Detection is already ...

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