Browsing by Author "Islam, Md. Saiful"

Now showing items 1-20 of 30

    • 3D fabrication of food through software implementation for patients of various diseases and dysphagia 

      Farha, Anika; Muhtadi, Mantaka; Morshed, Ramisa Ibnat (BRAC University, 2018-07)
      3D printing can be considered as a means of creating solid 3-dimensional objects using additive manufacturing with the aid of computer design software. With respect to time and newer technologies, 3D printing has advanced ...

    • Analysing Facebook user risk using machine learning algorithm 

      Barua, Arnab; Adnan, Fahim; Ghosh, Ananna (Brac University, 2020-04)
      Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of them don’t have the foggiest idea how to utilize, where ...

    • An Analysis on Bengali handwritten conjunct character recognition and prediction 

      Munawar, Maazin; Roy, Yagghaseni Saha; Hussain, Mohammed Mudabbir (Brac University, 2021-01)
      In the very active field of handwriting recognition, a lot of research can be found in the detection of the handwriting of various languages, especially English. However, for languages like Bengali, while they hold some ...

    • Analyzing area-wise air pollution level using machine learning for a better future 

      Sihan, Sk. Atik Tajwar; Rabbani, Maisha; Agarwala, Manish; Maliha, Sanjida Alam (Brac University, 2021-09)
      Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is ...

    • Android platform to find blood donors and predicting most suitable donors 

      Ahmed, Nakib; Rashid, Safoan Bin; Moury, Sharmin Sultana; Nahar, Ankur (BRAC University, 2018-03)
      The need for blood is constant in the medical field in order to save lives, as a number of medical procedures, including most surgical interventions require blood transfusion, but despite all medical and technological ...

    • Autonomous tractor to plough and harvest within a laser perimeter 

      Ekram, S.M.A.; Kader, Md. Mobin; Shahera, Fatema tuz; Shirmin, Nusrat (BRAC Univeristy, 2017-08)
      The world as we know is rapidly changing, the world population is ever growing and with this increased population growth the never ending need for food is also growing like never before. But on the contrary, our careers ...

    • Bengali hand sign language recognition using convolutional neural networks 

      Rumi, Roisul Islam; Hossain, Syed Moazzim; Shahriar, Ahmed; Islam, Ekhwan (BRAC University, 2019-04)
      Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ...

    • Brain hemorrhage detection using hybrid machine learning algorithm 

      Iqbal, Khondoker Nazia; Azad, Istinub; Emon, Md. Imdadul Haque; Amlan, Nibraj Safwan; Aporna, Amena Akter (Brac University, 2022-01)
      Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ...

    • Customer satisfaction of Jamuna Bank Limited 

      Qader, Mehruq (Brac University, 2020)
      Being one of the most prominent 3rd generation commercial banks in Bangladesh, from 3rd June, 2001 Jamuna Bank Limited provides diverse commercial banking activities like different deposits schemes, discounting bills, easy ...

    • Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease 

      Amin, M.M. Shahriar; Gomes, Partho Mark; Gomes, Jui Philomina; Tasneem, Faiza (Brac University, 2021-06)
      Machine Learning has gotten attention in the healthcare industry for the competences to ameliorate disease prediction. Machine learning has already been used in the health sector. Diabetes can also trigger the permanent ...

    • Diagnosis of cervical cancer using effective hybrid model in Bangladesh 

      Saad-Ul-Kabir, Syed; Neeha, Ashwaq Noor; Ibnat, Rifah Nanjiba; Prottasha, Tanjila Haque; Ananna, Sadika Rahman (Brac University, 2021-06)
      This paper discusses the various forms of restraints, regulations, struggles, and reme dies for overcoming cervical cancer challenges. It is a life-threatening disease that affects women all over the world. The lack of ...

    • Digital Literacy of Rural Households in Bangladesh 

      Shadat, Md. Wasel Bin; Islam, Md. Saiful; Zahan, Iffat; Matin, Maria (BRAC Institute of Governance and Development (BIGD), 2020-12)
      As more public and private sector services are being digitized to make them more accessible to citizens, digital literacy is becoming an increasingly essential skill needed to reap the fullest benefits from these services. ...

    • Digital pen with multi-purpose mouse functionality 

      Mizi, Md. Shofiqul Azad; Ahmed, Sadman; Khan, Irtiza Yamin; Islam, Md. Saiful (BRAC University, 2016-12-14)
      Proposal for building a wireless digital pen, which can work like a computer mouse, but more elegantly with the help of image processing (on MATLAB). This pen can be used for writing, painting in classrooms, conferences, ...

    • Factors behind exiting from the Bangladesh pharmaceutical industry and closing down the pharma businesses unit of GlaxoSmithKline Bangladesh Ltd. 

      Islam, Md. Saiful (BRAC University, 2018-12)
      The pharmaceutical industry in Bangladesh has been increasing in recent years and currently, the market stands at 142 billion BDT. Demand for good quality drugs is on the rise and the local market demand will to reach BD ...

    • Fake currency detection using image processing method 

      Alimushwan, Munshi Md.; Mohaimin, Akiful; Islam, Rifat; Chowdhury, Shahriar (BRAC University, 2016)
      Fake notes area problem of almost every country. For country like Bangladesh it is becoming big hurdle. Fake Bangladeshi Currency of 1000 seems to have flooded the system and there is no proper way to deal with them for ...

    • Faster image compression (LZW algorithm) technique using GPU parallel processing 

      Soobhee, Ateeq-Ur-Rahman; Ruma, Kamrun Nahar; Ahsan, Md. Fakhrul; Hossain, F. M. Fahmid (BRAC University, 12/26/2017)
      Since the beginning till present, the technology demands to store as massive data as possible in as little space as possible. As web, mobile, desktop and all other applications use image for different purposes, image ...

    • High frequency rainfall prediction using machine learning approach to numerical weather modelling 

      Borna, Afsana Afrin; Ani, Ashfak Ahmed; Ashhab, Mahir; Saleh, Shahriar (Brac University, 2021-06)
      The weather has an impact on almost every aspect of our daily lives. Life would be much easier if we could control the weather. Until then, we will have to settle for trying to predict weather but weather prediction is ...

    • Human identification using wifi signal 

      Nipu, Md. Nafiul Alam; Talukder, Souvik (BRAC University, 12/26/2017)
      There have been a large number of methods already exists to identify human(e.g.,face recognition, gait recognition, fingerprint identification, etc.). Channel State Information(CSI) obtained from Wifi chipsets already has ...

    • Identifying brain abnormalities using image processing and CNN models 

      Talukder, Ismat Shehrin; Ninty, Rifa Tasmim; Saimon, Md. Galib Hamza; Akbar, Shafkat Asif (Brac University, 2021-06)
      In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...

    • Image classification using deep neural network for efficient identification of traffic sign 

      Saha, Sourajit (BRAC Univeristy, 8/21/2017)