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Browsing DIU Faculty Publication by Subject "Feature extraction"

Browsing DIU Faculty Publication by Subject "Feature extraction"

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  • ATM Card Security Using Bio-Metric and Message Authentication Technology 
    Onyesolu, Moses Okechukwu; Ezeani, Ignatius Majesty (IEEE, 2018-11-22)
    The growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use personal ...
  • Automated Prediction of Heart Disease Patients Using Sparse Discriminant Analysis 
    Hasan, K. M. Zubair; Datta, Shourob; Hasan, Md Zahid; Zahan, Nusrat (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-02-09)
    Linear Discriminant Analysis (LDA) is an easy and efficient method for pattern classification, while it is also broadly utilized for the initial discovery of diseases using Electronic Health Records (EHR) data. Nonetheless, ...
  • BanglaMusicStylo: A Stylometric Dataset of Bangla Music Lyrics 
    Hossain, Rafayet; Marouf, Ahmed Al (IEEE, 2018-12-03)
    With the rapid growth of Bangla music industry huge volume of Bangla songs are produced every day. Immense number of producers, lyricists, singers and artists are involved in production of songs from different genres. Among ...
  • Classification on BDHS Data Analysis Hybrid Approach for Predicting Pregnancy Termination 
    Ahmed, Faisal; Shams, Md. Montasir Bin; Shill, Pintu Chandra; Rahman, Majidur (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04)
    Pregnancy termination is a trivial anomaly for third world countries like Bangladesh. The greater aspiration of this research is to downturn the rate of pregnancy termination. This research finds out the attributes that ...
  • Classification on Educational Performance Evaluation Dataset Using Feature Extraction Approach 
    Rahman, Majidur; Mahmud, Antara (ACM International Conference Proceeding Series, ACM Digital Library, 2020-01-10)
    With the drastic drive in population and economy of Bangladesh, the urgency of higher education of the mass is also extending. Moreover, due to scarcity of resources, financial support and many other convoluted circumstances, ...
  • Classification on Educational Performance Evaluation Dataset Using Feature Extraction Approach 
    Rahmn, Majidur; Mahmud, Antara (ACM International Conference Proceeding Series, 2020-03-20)
    With the drastic drive in population and economy of Bangladesh, the urgency of higher education of the mass is also extending. Moreover, due to scarcity of resources, financial support and many other convoluted circumstances, ...
  • Computer Vision Based Local Fruit Recognition 
    Mia, Md. Robel; Mia, Md. Jueal; Majumder, Anup; Supriya, Soummo; Habib, Md. Tarek (International Journal of Engineering and Advanced Technology, 2019-10)
    Abstract: Bangladesh is an agricultural country having a tropical monsoon climate. A large variety of tropical and sub-tropical fruits abound in Bangladesh. People of Bangladesh are fruit-lovers too. Currently, most of the ...
  • A Computer Vision System for the Categorization of Citrus Fruits Using Convolutional Neural Network 
    Hasan, Md. Mehedi; Salehin, Imrus; Moon, Nazmun Nessa; Kamruzzaman, T. M.; -Ul-Islam, Baki; Hasan, Mehedi (2021 International Symposium on Electronics and Smart Devices (ISESD), IEEE, 2021-08-12)
    The recognition of citrus fruit is one of the most challenging and crucial measures in citrus yield mapping. Several artificial vision systems have been proposed to solve the issue of fruits recognition problem with sundry ...
  • Content Based Document Classification Using Soft Cosine Measure 
    Hasan, Md Zahid; Hossain, Shakhawat; Rizvee, Md. Arif; Rana, Md. Shohel (International Journal of Advanced Computer Science and Applications, 2019)
    Abstract: Document classification is a deep-rooted issue in information retrieval and assumed to be an imperative part of an assortment of applications for effective management of text documents and substantial volumes of ...
  • An Explorative Analysis on the Machine-Vision-Based Disease Recognition of Three Available Fruits of Bangladesh 
    Habib, Md. Tarek; Mia, Md. Jueal; Uddin, Mohammad Shorif; Ahmed, Farruk (Scopus, 2021)
    Bangladesh, being a densely populated country, hinges on agriculture for the security of finance and food to a large extent. Hence, both the fruits’ quantity and quality turn out to be very important, which can be degraded ...
  • A heuristic approach of text summarization for Bengali documentation 
    Abujar, Sheikh; Hasan, Mahmudul; Shahin, M.S.I; Hossain, Syed Akhter (IEEE Xplore, 2017-12-14)
    Automated Text Summarization is a technique of summarizing any document or text automatically. Summarized text is the concise form of the given text. In Natural language processing many text summarization techniques are ...
  • A Hybrid GRU-CNN Feature Extraction Technique for Speaker Identification 
    Shihab, Md. Shazzad Hossain; Aditya, Shuvra; Setu, Jahangir Hossain; Imtiaz-Ud-Din, K. M.; Efat, Md. Iftekharul Alam (IEEE, 2020-12)
    Speaker identification with diversified voice clip across the globe is a crucial and challenging task, specially extracting vigorous and discriminative features. In this paper, we demonstrated an end-to-end speaker ...
  • Identifying Neuroticism from User Generated Content of Social Media Based on Psycholinguistic Cues 
    Marouf, Ahmed Al; Hasan, Md. Kamrul; Mahmud, Hasan (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-02-09)
    Social media has become a huge repository of textual data and images as each of the users' are creating posts, sharing views or news, capturing the moments via photos etc. Sharing or posting statuses/tweets could be ...
  • IDTi-CSsmoteB 
    Mahmud, S. M. Hasan; Chen, Wenyu; Jahan, Hosney; Liu, Yongsheng; Sujan, Nasir Islam; Ahmed, Saeed (IEEE Access, 2019-04-11)
    Identifying interaction between drug and protein is a crucial challenge in drug discovery, which can lead the researchers to develop novel drug compounds or new target proteins for the existing drugs. The determination of ...
  • Improving Classification Model's Performance Using Linear Discriminant Analysis on Linear Data 
    Ghosh, Joyoshree; Shuvo, Shaon Bhatta (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019)
    Classification is a supervised learning technique for predicting the class of given data points. Before doing classification, it is essential to build a classification model using classification algorithms. There are several ...
  • Looking Behind the Mask 
    Marouf, Ahmed Al; Ajwad, Rasif; Ashrafi, Adnan Ferdous (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-04-04)
    With the facilities of social media platforms like Facebook, Twitter, Google+, YouTube etc. people are capable of expressing their views & news, sharing moments via photos, liking, commenting and sharing others posts. The ...
  • A Machine Learning Approach to Automating Bengali Voice Based Gender Classification 
    Badhon, S.M. Saiful Islam; Rahaman, Md. Habibur; Rupon, Farea Rehnuma (IEEE, 2019-11)
    Does thicker vocal folds produce sounds with longer wavelength? And can they produce higher pitches to human ears? We address these types of questions and try to identify the difference between male and female voices. By ...
  • A Machine Vision Approach for Recognizing Coastal Fish 
    Raihan, Afiq; Sharmin, Israt; Khan, B M Marjan; Jabiullah, Md. Ismail; Habib, Md. Tarek (Scopus, 22)
    t Coastal fish is one of the prominent marine resources, which takes a necessary role in the economic growth of a country. Because of environmental issues along with other reasons, not only most of the marine resources ...
  • Machine Vision Based Potato Species Recognition 
    Nuruzzaman, Md.; Hossain, Md. Shahadat; Rahman, Md. Mostafijur; Shoumik, Ahete Shamul Haque Chowdhury; Khan, Md. Abbas Ali; Habib, Md. Tarek (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021)
    Potato is one of the tasteful vegetable in the list of our daily delicious food. At present, there are 42000 kind of potatoes available in the world. In Bangladesh, we cultivate 82 species every year. Potatoes are used for ...
  • Musical Instrument Classification Based on Machine Learning Algorithm 
    Anuz, Hasanuzzaman; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2021)
    Musical instrument classification from an audio file is a very interesting and important topic in machine learning. In this paper, we represent a method to classify a musical instrument from a single audio file of a specific ...

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