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Browsing Articles by Subject "Computational modeling"

Browsing Articles by Subject "Computational modeling"

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  • Bangladeshi Indigenous Fish Classification Using Convolutional Neural Networks 
    Dey, Krishno; Hassan, Md. Mustahid; Rana, Md. Masud; Hena, Mst. Hasna (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-21)
    Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes the only source of protein in the rural household of Bangladesh. Moreover, thousands of peoples of Bangladesh are directly and ...
  • Bangladeshi Indigenous Fish Classification Using Convolutional Neural Networks 
    Dey, Krishno; Hassan, Md. Mustahid; Rana, Md. Masud; Hena, Mst. Hasna (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes the only source of protein in the rural household of Bangladesh. Moreover, thousands of peoples of Bangladesh are directly and ...
  • CNN Based Automatic Computer Vision System for Strain Detection and Quality Identification of Banana 
    Al Haque, A. S. M. Farhan; Hakim, Md. Azizul; Hafiz, Rubaiya (2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), IEEE, 2021-09-08)
    Banana is amongst the most appealing and nutritious fruits worldwide, cultivated almost every part of the world round the year. Bangladesh ranks 14 th worldwide in producing this appealing fruit putting a substantial mark ...
  • Computer Vision Based Skin Disorder Recognition Using Efficient net 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • Computer Vision Based Skin Disorder Recognition Using Efficientnet 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • 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 ...
  • A Deep Learning Study on Understanding Banglish and Abbreviated Words Used in Social Media 
    Das, Suharto; Islam, Md Sanzidul; Mahmud, Imran (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021-05-26)
    Day by Day, the trend of using social media(SM) has increased among the people. With the increasing rate, the use of Banglish (Merge of Bangla and English) and shortcut words has also being increased. In this research, ...
  • Memristor-CMOS Hybrid Implementation of Leaky Integrate and Fire Neuron Model 
    Zohora, Fatima Tuz; Debnath, Sutapa; Rashid, A.B.M. Harun-ur (2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEEE, 2019-04-04)
    Memristor is a nanoscale device which consumes low power and shows good compatibility with CMOS circuits. It has applications in memory circuits, logic circuits as well as in neuromorphic systems to imitate biological ...
  • MobileNet Model for Classifying Local Birds of Bangladesh from Image Content Using Convolutional Neural Network 
    Islam, Md. Romyull; Tasnim, Nishat; Shuvo, Shaon Bhatta (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    To classify bird species is quite a challenging task due to complex interdependence on various factors. There have been numerous attempts at perfecting classification. The aim of our work is to classify bird species from ...
  • Performance Analysis of Breast Cancer 
    Khatun, Tania; Utsho, Md. Mahfuzur Rahman; Islam, Md. Ashiqul; Zohura, Mst. Fatematuz; Hossen, Md. Sagar; Rimi, Robaiya Akter; Anni, Sabiha Jannat (2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 2021-10)
    Nowadays, breast cancer is the most emerging disease among women both in developed as well as developing countries. Due to increased life prospects, increased urbanization, and the relinquishment of western societies, the ...
  • Predicting Satisfaction of Online Banking System in Bangladesh by Machine Learning 
    Shetu, Syeda Farjana; Jahan, Israt; Islam, Mohammad Monirul; Hossain, Refath Ara; Moon, Nazmun Nessa; Nur, Fernaz Narin (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    Online banking refers to using your smartphone, tablet, or another internet-connected computer to browse and access your bank account. It is quick and free, and it usually allows you to perform a variety of activities, ...
  • Sentiment Analysis of Bengali Textual Comments in Field of Sports Using Deep Learning Approach 
    Rabeya, Mosa; Tuly, Mumtahina Rahman; Mahmud, Md. Shihab; Sattar, Abdus (Daffodil International University, 2022-10-16)
    In recent days, people are expressing their emotions, feelings or opinions on various social platforms. In those opinions some are real and some are fake. There are a lot of discussions about sports. When their team wins ...

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