DSpace Repository

Browsing DIU Faculty Publication by Title

Browsing DIU Faculty Publication by Title

Sort by: Order: Results:

  • A Real-time Face Recognition Smart Attendance System with Haar Cascade Classifiers 
    Bairagi, Rupak; Ahmed, Remon; Tisha, Sadia Afrin; Sarder, Md. Sumon; Islam, Md. Sabiqul; Islam, Md. Ashiqul (2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 2021-10)
    Taking attendance of students during class time is one of the foremost tasks for teachers and it's pretty much complicated at the same time. The manual attendance system takes an enormous amount of time over the number of ...
  • Real-Time Vehicle Classification Using CNN 
    Jahan, Nusrat; Islam, Saiful; Foysal, Md. Ferdouse Ahmed (Scopus, 2020)
    Convolutional Neural Network (CNN) is a model of artificial neural networks that has grown to be most well known in computer vision assignment. In this paper work, we presented convolutional neural network for classifying ...
  • Real-time YOLO-based Heterogeneous Front Vehicles Detection 
    Junayed, Masum Shah; Islam, Md Baharul; Sadeghzadeh, Arezoo; Aydin, Tarkan (2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), IEEE, 2021-09-30)
    The perception of the complex road environment is a critical factor in autonomous driving, which has become the research focus in intelligent vehicles. In this paper, a real-time front vehicle detection system is proposed ...
  • Recent Advances in Respiratory Diseases 
    Islam, Fahadul; Muni, Maniza; Mitra, Saikat; Emran, Talha Bin; Chandran, Deepak; Das, Rajib; Rauf, Abdur; Safi, Sher Zaman; Chidambaram, Kumarappan; Dhawan, Manish; Cheon, Chunhoo; Kim, Bonglee (Scopus, 22-09-30)
    A group of bioactive, isoprenoid pigments known as carotenoids is mostly present in fruits and vegetables. Carotenoids are essential for the prevention of physiological issues, which makes maintaining excellent health ...
  • Recent Observations in Surface Electromyography Recording of Triceps Brachii Muscle in Patients and Athletes 
    Ali, Md. Asraf; Sundaraj, Kenneth; Ahmad, R. Badlishah; Ahmed, Nizam Uddin; Islam, Md. Anamul (IOS Press, 2014)
    OBJECTIVE: To observe and analyse the literature on the use of surface electromyography electrodes, including the shape, size, and metal composition of the electrodes used, the interelectrode distance, and the anatomical ...
  • Recent Outbreak of Monkeypox 
    Shuvo, Pollob Ahmed; Roy, Arpita; Dhawan, Manish; Chopra, Hitesh; Emran, Talha Bin (Daffodil International University, 22-09-05)
    Monkeypox virus is an orthopox virus that causes a less severe illness with symptoms similar to smallpox. Monkeypox, which is a zoonotic viral disease, is endemic to West and Central Africa. Two different clades are known, ...
  • Recent Poliovirus Outbreaks and Vaccination: a Perspective 
    Sethi, Yashendra; Kaka, Nirja; Chopra, Hitesh; Aggarwal, Navidha; Arora, Sonia; Emran, Talha Bin (Scopus, 22-11-18)
    Poliomyelitis is an enteroviral disease, caused by “Poliovirus” a non-enveloped RNA virus, belonging to the Picornaviridae family. Three serotypes of Poliovirus (PV1, PV2, and PV3) with minimal heterotypic immunity are ...
  • Recent Trends and Developments in Multifunctional Nanoparticles for Cancer Theranostics 
    Rabaan, Ali A.; Bukhamsin, Rehab; Saihati, Hajir Al; Alshamrani, Saleh A.; Sihati, Jehad Al; Al-Afghani, Hani M.; Alsubk, Roua A.; Abuzaid, Abdulmonem A.; Al-Abdulhadi, Saleh; Aldawood, Yahya; Alsaleh, Abdulmonem A.; Alhashem, Yousef N.; Almatouq, Jenan A.; Emran, Talha Bin; Al-Ahmed, Shamsah H.; Nainu, Firzan; Mohapatra, Ranjan K. (Scopus, 22-12-07)
    Conventional anticancer treatments, such as radiotherapy and chemotherapy, have significantly improved cancer therapy. Nevertheless, the existing traditional anticancer treatments have been reported to cause serious side ...
  • Recognition of Jute Diseases by Leaf Image Classification Using Convolutional Neural Network 
    Hasan, Md. Zahid; Ahamed, Md. Sazzadur; Rakshit, Aniruddha; Hasan, K. M. Zubair (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    As Convolutional Neural Network (CNN) is achieving the state-of-the-art in the field of image classification, this research work focuses on the finding prominent accuracy of the jute leaf image diseases using deep learning ...
  • Recognition of Local Birds of Bangladesh Using Mobile Net and Inception-v3 
    Rahman, Md. Mahbubur; Biswas, Al Amin; Rajbongshi, Aditya; Majumder, Anup (Scopus, 2020)
    Recognition of bird species can be a challenging task due to various complex factors. The purpose of this work is to distinguish various local bird species of Bangladesh from the image data. The MobileNet and Inception-v3 ...
  • Recognition of Local Birds Using Different CNN Architectures with Transfer Learning 
    Biswas, Al Amin; Rahman, Md. Mahbubur; Rajbongshi, Aditya; Majumder, Anup (2021 International Conference on Computer Communication and Informatics (ICCCI), IEEE, 2021-04-21)
    The global world is dependent and integrated with all the ecosystems. To survive in the race, we must need to know about the birds and their habitats and importance to the existence of the human race on earth. However, it ...
  • 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 ...
  • Recognition of Mustard Plant Diseases Based on Improved Deep Convolutional Neural Networks 
    Hridoy, Rashidul Hasan; Arni, Arindra Dey; Hassan, Md Ariful (Daffodil International University, 2022-07-05)
    Diseases of the mustard plant are a major threat to the quality production of mustard oil, but rapid recognition of these diseases becomes cumbersome due to the absence of expert identification infrastructures. This study ...
  • Recognizing Hand-based Actions based on Hip-Joint centered Features using KINECT 
    Marouf, Ahmed Al; Sarker, Md. Ferdousur Rahman; Siddiquee, Shah Md. Tanvir (IEEE, 2018-07-19)
    Microsoft Kinect provides skeletal joints to extract different features which can be applied to identify different actions performed by subjects. As human moves, skeletal joints contribute to the movements and human actions ...
  • Recognizing Human Emotions from Eyes and Surrounding Features: A Deep Learning Approach 
    Shuvo, Md Nymur Rahman; Akter, Shamima; Islam, Md. Ashiqul; Hasan, Shazid; Shamsojjaman, Muhammad; Khatun, Tania (Scopus, 2021)
    Abstract: The need for an efficient intelligent system to detect human emotions is imperative. In this study, we proposed an automated convolutional neural network-based approach to recognize the human mental state from ...
  • Recognizing Language and Emotional Tone from Music Lyrics Using IBM Watson Tone Analyzer 
    Marouf, Ahmed Al; Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Pandey, Bishwajeet; Siddiquee, Shah Md. Tanvir (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023, IEEE, 2019-10-17)
    Music has a soothing impact on listener's mood and emotional states. Apart from the rhythm, sequence, instrumental effects on a song, lyrics could be considered as the most vital element. Lyricists' mood and affection ...
  • Recognizing Novel Drugs against Keap1 in Alzheimer's disease Using Machine Learning Grounded Computational Studies 
    Mukerjee, Nobendu; Al-Khafaji, Khattab; Maitra, Swastika; Wadi, Jaafar Suhail; Sachdeva, Punya; Ghosh, Arabinda; Buchade, Rahul Subhash; Chaudhari, Somdatta Yashwant; Jadhav, Shailaja B.; Das, Padmashree; Hasan, Mohammad Mehedi; Rahman, Md. Habibur; Albadrani, Ghadeer M.; Albadrani, M.; Altyar, Ahmed E.; Kamel, Mohamed; Algahtani, Mohammad; Shinan, Khlood; Theyab, Abdulrahman; Daim, Mohamed M. Abdel-; Ashraf, Md.; Rahman, Md. Mominur; Sharma, Rohit (Scopus, 22-12-31)
    Alzheimer’s disease (AD) is the most common neurodegenerative disorder in the world, affecting an estimated 50 million individuals. The nerve cells become impaired and die due to the formation of amyloid-beta (Aβ) plaques ...
  • Recommendation Approach of English Songs Title Based on Latent Dirichlet Allocation Applied on Lyrics 
    Hossain, Rafayet; Sarker, Md. Rahmatul Kabir Rasel; Mimo, Mehejabin; Marouf, Ahmed Al; Pandey, Bishwajeet (Proceedings of 2019 3rd IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2019, IEEE, 2019-10-17)
    The significance of music has evolved due to the vast diversity of entertainment industry. Songs are the widely used entertainment segment that can influence directly to the heart of the listeners. Choosing a suitable title ...
  • A Reduced feature based neural network approach to classify the category of students 
    Alam, Mirza Mohtashim; Mohiuddin, Karishma; Das, Amit Kishor; Islam, Md Kabirul (ACM, 2018-03-09)
    To ensure more effectiveness in the learning process in educational institutions, categorization of students is a very interesting method to enhance student's learning capabilities by identifying the factors that affect ...
  • Reduction of Effective Material Loss (EML) Using Decagonal Photonic Crystal Fiber (D-PCF) for Communication Applications in the Terahertz Wave Pulse 
    Unknown author (23-09-08)
    We present an excellent design of five layers of decagonal shape in the cladding area and two elliptical shapes of core area based photonic crystal fiber (PCF) for many types of communiqué arenas in the THz wave pulse in ...

Search DSpace


Browse

My Account