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Browsing Articles by Author "Sattar, Abdus"

Browsing Articles by Author "Sattar, Abdus"

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  • Arabian Date Classification Using CNN Algorithm with Various Pre-trained Models 
    khayer, Md.Abu; Hasan, Md.Sakibul; Sattar, Abdus (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The people of Bangladesh have a lack of knowledge to detect fruit so many consumers suffer when they go to buy fruit every day. We know it is very difficult for consumers to detect the class of date on their naked eyes. ...
  • Brain Sensing with Wearable Headband (ACP2) 
    Akter, Nasrin; Hossain, Nijar; Sattar, Abdus (Scopus, 2021)
    This paper demonstrates an implementation of a mobile application capable of visualizing EEG data in a meaningful way. The project revolves around the Muse Wearable headband, a commercial device capable of reading EEG ...
  • Brain Tumor Analysis Using Deep Neural Network 
    Khan, Iftekhar; Ahsan, Kuheli; Hasan, Md. Arid; Sattar, Abdus (Proceedings - 5th International Conference on Intelligent Computing and Control Systems, IEEE, 2021-05-26)
    The identification of tumors is one of the most tenacious and emerging fields in medical image processing. A tumor means the unrestricted existence of a bunch of cells in a precise area of the human body which destroys the ...
  • Breast Cancer Detection using Machine Learning Approach 
    Sattar, Abdus (Daffodil International University, 2023-04-05)
    We have gathered the features of breast cancer and normal persons’ cells both. To classify malignant and benign tumors, we used a supervised machine learning classifier algorithm. This paper shows the last update in this ...
  • Bridging the Gap in HCI between Industry and Academia 
    Sattar, Abdus; Khan, Nafim; Moheeuddin, Md.; Shaon, Nasir Uddin Khan (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-07-08)
    HCI currently a sonorous regulation which is wholly committed to the design of interactive systems that allow information flow between human and computer. Implementation and judgment are the other two major concern of HCI. ...
  • A Case Study and Fraud Rate Prediction in e-Banking Systems Using Machine Learning and Data Mining 
    Nuha, Musfika; Mahmud, Sakib; Sattar, Abdus (Springer, 2021)
    Recently banking sector of Bangladesh is undergoing in a revolutionizing change. Over the last few years, Bangladesh’s banking industry has achieved remarkable momentum. Especially radical change has come in e-banking and ...
  • A Case Study and Fraud Rate Prediction in e-Banking Systems Using Machine Learning and Data Mining 
    Nuha, Musfika; Mahmud, Sakib; Sattar, Abdus (Scopus, 2021)
    Recently banking sector of Bangladesh is undergoing in a revolutionizing change. Over the last few years, Bangladesh’s banking industry has achieved remarkable momentum. Especially radical change has come in e-banking and ...
  • CNN and Transfer Learning Modeling for Jujube Spices Recognition 
    Sakib, Md. Mamun; Hasan, Md. Mehedi; Bibi, Rabeya; Rahman, Md. Hamidur; Sattar, Abdus (IEEE, 2023-11-23)
    Jujube make up a major portion of Bangladesh's total fruit production. It might be challenging to tell the differences between the many different species of jujube. The manual examination of jujube' physical qualities, ...
  • A Conceptual Design to Encourage Sustainable Grocery Shopping 
    Sattar, Abdus; Shohel, Md. Jamal Hosen; Banni, Fahima Sultana; Antu, Amit Kumar Bala (IEEE, 2020-06-16)
    Grocery shopping is a frequent event on our life that has a great impact on climate change and direct connection with health issues. The purchases of organic and healthy foods are increasing but still, we could not make ...
  • A Convolutional Neural Network Approach to Recognize the Insect 
    Hossain, Md. Imran; Paul, Bidhan; Sattar, Abdus; Islam, Md. Mushfiqul (IEEE, 2020-06-16)
    In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic ...
  • A Convolutional Neural Network Based Potato Leaf Diseases Detection Using Sequential Model 
    Bonik, Choyon Chandra; Akter, Flora; Rashid, Md. Harunur; Sattar, Abdus (IEEE, 2023-04-03)
    One of Bangladesh’s primary agricultural products is the potato. In recent decades, Bangladesh has seen a surge in the popularity of potato farms. Nonetheless, farmer’s expenses in potato production are rising as a result ...
  • Crime Rate Prediction Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika; Sattar, Abdus (Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, Springer, 2020-11-28)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily ...
  • Crime Rate Prediction Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika; Sattar, Abdus (Scopus, 2021)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily ...
  • Deployment of E-Services Based Contextual Smart Agro System Using Internet of Things 
    Sattar, Abdus; Shampod, Yeasin Arafat; Ahmed, Md. Tanjid; Akter, Nasrin; Mahmud, Arif (Daffodil International University, 2022-02-01)
    Climate change's effects are becoming more apparent, and farmers are bearing the brunt of the consequences. As a result, by 2050, food production is expected to decline by 18%. Therefore, the study's goal is to develop ...
  • Detection and Classification of Road Damage Using Deep Learning Approach with Smartphone Images 
    Shila, Sharmin; Bayshakhy, Fahima Taher; Sattar, Abdus (IEEE, 2023-11-23)
    In cities, road surface monitoring is mostly done by hand which is a time-consuming and labour-intensive procedure. One of the most critical responsibilities is infrastructure maintenance work for traffic safety. To keep ...
  • Gas Leakage with Auto Ventilation and Smart Management System Using IoT 
    Anika, Afsana Mim; Akter, Ms. Nasrin; Hasan, Md. Niamul; Shoma, Jannatul Ferdous; Sattar, Abdus (IEEE, 2021-04-12)
    In the evolving smart home architectures, the issue of gas spillage and fire is still remaining as a significant hindrance for designing a comprehensive, safe and sustainable kitchen model. On the other hand, security has ...
  • Gas Leakage with Auto Ventilation and Smart Management System Using IOT 
    Anika, Afsana Mim; Akter, Ms. Nasrin; Hasan, Md. Niamul; Shoma, Jannatul Ferdous; Sattar, Abdus (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    In the evolving smart home architectures, the issue of gas spillage and fire is still remaining as a significant hindrance for designing a comprehensive, safe and sustainable kitchen model. On the other hand, security has ...
  • GDP Growth Prediction of Bangladesh using Machine Learning Algorithm 
    Hossain, Amman; Hossen, Md; Hasan, Md Mahmudul; Sattar, Abdus (IEEE, 2021-03-31)
    The main objective is to predict GDP Growth by help of other parameters like GDP Per Capita, Inflation Rate, Government Debt, Total Investment, Remittance, Unemployed Rate. The complex relations are obtained by machine ...
  • GDP Growth Prediction of Bangladesh Using Machine Learning Algorithm 
    Hossain, Amman; Hossen, Md; Hasan, Md Mahmudul; Sattar, Abdus (2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, 2021-03-31)
    The main objective is to predict GDP Growth by help of other parameters like GDP Per Capita, Inflation Rate, Government Debt, Total Investment, Remittance, Unemployed Rate. The complex relations are obtained by machine ...
  • Human Activity Recognition Using Smartphone Sensors 
    Biswes, Sourabh Roy; Fahad, Rieaj Uddin; Swapno, Mirza Sadman Ahmed; Islam, Md. Ariful; Sattar, Abdus (IEEE, 2023-11-23)
    In day-to-day existence, people act on many tasks. It is vital to record and analyze the daily presence of individual people. Hence it could assist with relieving a few medical conditions and different issues. Human Activity ...

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