Now showing items 876-895 of 1349

    • ML based career suggestive system for informal job sector considering cognitive skills 

      Tonny, Ms. Ayesha Siddika; Hafsa; Lavlu, Md. Tousif Hasan; Ghosh, Abhijit Kumar; Roy, Sourojit (Brac University, 2022-05)
      We are striving to build a realistic procedure by which we, particularly the future generation, will be able to choose the right career based on their capacity and interests. A few well-known international firms, including ...
    • Mobile application for determining input level of fertilizer and detecting diseases in crops 

      Rashid, Tasneem Tazeen; Thuza; Hossain, Sazzad (BRAC University, 2014-09)
      Economic development and food security in Bangladesh significantly depend on agriculture production. Despite progresses made in agricultural techniques, farmers in Bangladesh still face difficulties in determining required ...
    • A mobile application on performing blast analysis and local alignment 

      Kiron, Md. Ismail; Sumon, Md. Enamul Haque; Mourey, Jannatul Maksuda; Ullah, Md. Zayed (BRAC University, 2015)
      In this ever-fast running modern world of technologies, bioinformatics is not lagging behind. It is now possible to connect one’s smart phone to the huge database of bioinformatics where one can find thousands of gene and ...
    • Mobile learning as a self evaluation tool 

      Sharmin, Kishoara (BRAC University, 2006-12)
    • Mobile messaging using Bangla 

      Rownok, Tofazzal (BRAC University, 2005-12)
      Mobile messaging using Short Message Service (SMS) is a popular way to communicate easily and in short time. There are an estimated five million mobile users in Bangladesh and the number is increasing by the day. ...
    • Mobile sensors based human activity recognition using machine learning with explainable ML 

      Rahman, Raihan; Osdi, Shafin Jami; Till, Sadia Sidran (Brac University, 2021)
      Based on the data collected from the sensors of smartphone a region that has garnered a lot of interest has a consequence of the growing popularity in the numerous variety for pertaining to applications(i.e. Real world ...
    • Mobile VoIP : managing , scheduling and refining voice packets to and from mobile phones 

      Salam, Mohammad Abdus; Biswas, Tapan (BRAC University, 2006-08)
      Voice over IP (VoIP) is rapidly gaining acceptance. VoIP has already become a multi billion dollar industry in the IT world. On the other hand the use of mobile phones in the world has exceeded all estimations. Given ...
    • A model for detecting fake Negative Acknowledgements (NACK) in named Data Network (NDN) using Blockchain Technology 

      Saha, Ritwick; Shiva, Tahsina; Akter Tayeeba, Kazi Sharmin (Brac University, 2022-05)
      Data Networking is a new concept in current internet technology that replaces the traditional TCP/IP architecture by addressing nodes depending on user interest. Due to the massive volume of traffic generated, Internet ...
    • A model for underwater security in communication using Secret Key Algorithm and Node Value 

      Shuvo, MD. Saidul Arifin; Firdaus, Mustafa Tamim (Brac University, 2021-06)
      Underwater wireless network has become one of the most significant research areas in the networking field nowadays as it has huge possibilities. Underwater communication can be used for collecting data of undersea ecology, ...
    • Modelling and forecasting energy demand of Bangladesh using AI based algorithms 

      Mahmud, Booshra Nazifa; Ferdoush, Zannatul; Mim, Lamia Tasnim (Brac University, 2019-04)
      Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ...
    • Modelling option prices using neural networks 

      Nasim, Ahmed Zohair; Syed, Shehran (Brac University, 2019)
      In this research, modelling of the European option prices of S&P 500 index options was carried out using Multi-layer Perceptron Neural Networks. The goal was to train the neural networks using historical data to accurately ...
    • A modern technique to detect potholes by Computer Vision and Deep Learning 

      Saif, Muntasir Mahmud; Badsha, Tanvir; Khan, Mohammed Arman; Sakib, Sadman; Bin Akbar, Rafeed (Brac University, 2022-09)
      Roads are connecting lines between different places and are used in our daily life but anomalies in road surface not only impact road quality but also affect driver safety, mechanic structure of the vehicles, and fuel ...
    • Modernization of land registry by adapting blockchain with Proof-of-Work (PoW) 

      Mostofa, Sabrina Israt; Mahmud, Tasin; Adrito, Bivor Faruque; Roy, Tridiv (Brac University, 2019-12)
      All over the world land registry is a big problem which needs to be addressed. In order to bring this process in a more secured and trusted state, a systematic way has to be implemented. To eradicate the issue, blockchain ...
    • A modified GNS map denoising approach for digital images 

      Ivy, Sanjida Islam (BRAC University, 2017-12)
      This paper proposes a new technique of noise reduction for 2D digital images. In the proposed model, for constructing a GNS map using DNS maps of central pixels we measured the intensity similarity between center pixel and ...
    • Monitoring driver awareness through eye tracking 

      Chowdhury, Faiaz Hossain; Shetab, Muhtasim Al Buyes; Haque, Quazi Mohimenul; Ali, MD. Nazif (Brac University, 2021-01)
      Driving is a task that requires a high level of focus for the security of not just the person driving but also other drivers and passengers out on the road. Hence, it is a difficult task, as a human being might not be able ...
    • Monitoring of endangered fish using image processing and AI tools 

      Hossain, Naheen; Habib, Ahsan; Plabon, Tasharif Mehedi (Brac University, 2018-12)
      Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ...
    • Motion based gesture detection using frame composition LSTM 

      Islam, Ishraqul; Islam, Md. Saqif; Provat, Mahin Islam; Khandakar, Shaneen Shadman; Karim, Fardin Junayed (Brac University, 2022-09-28)
      Years of technological progress have made machines capable of identifying humans in images and videos. Moreover, machines like computers can also detect our hand gestures. Gesture recognition is the tool needed to ...
    • Movie recommendation using link prediction 

      Dhrubo, Md Alif-uz-zaman; Supty, Tasfia Chowdhury; Hossin, Md Rakib; Rahman, SM Ashfaqur; Das, Ananya (Brac University, 2021-09)
      Link prediction is an important task for analyzing movie recommendation which also has applications in other domain like, information retrieval and bioinformatics. Proximity measure quantify the closeness or similarity ...
    • Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning 

      Kabir, Azmain; Kabir, Farishta; Mahmud, Md. Abu Hasib; Sinthia, Sanzida Alam; Azam, S. M. Rakibul (Brac University, 2021-10)
      The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ...
    • Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI 

      Athina, Fahima Hasan; Sara, Sadaf Ahmed; Tabassum, Nishat; Sarwar, Quazi Sabrina; Jannat Era, Mun Tarin (Brac University, 2022-05)
      This research work aims to show a comparative analysis among four different deep learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...