Now showing items 1-20 of 26

    • 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 ...
    • 3D model generation of real-objects using depth and color information 

      Sakib, Alium Basir; Azam, Hasnat; Jui, Tonni Das; Akter, Fahima (BRAC University, 2018-04)
      We propose and demonstrate a method of generating 3D model using depth and color information of real-object using Microsoft Kinect sensor using our proposed pixel mapping algorithm. The primary idea of the method is to ...
    • Analysis of training time optimization for self-driving car using alternate max pooling layers 

      Arefin, Kazi Ridwan; Huque, Md. Mashrukul; Tasin, Sheikh Sadaf; Khan, Ahmed Jawad; Abrar, Aareef (BRAC University, 2018-04)
      In the modern era, the vehicles are focused to be automated to give human driver relaxed driving. In the field of automobile various aspects have been considered which makes a vehicle automated. As Udacity, in 2016, with ...
    • Brain image fMRI data classification and graphical representation of visual object 

      Tasneem, Nazifa Afroza; Tithi, Indrani Datta; Shuchi, Ummay Sadia Khanum (Brac University, 2018-12)
      Analyzing neuroimaging data has become a research of interest these days because of their several applications starting from analysis of brain region connectivity to analysis of ventral streams and visual stimuli. In ...
    • Breast cancer prediction using different machine learning models 

      Khandker Al- Muhaimin; Tahsan Mahmud; Sudeepta Acharya; Ashiqul Islam (Brac University, 2019-08)
      Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ...
    • Classi cation of magnetic configurations using machine learning algorithms 

      Bokul, Saffat; Abdus Shukur, Samiha Sabrin Md; Ahmed, Saquib (Brac University, 2019-08)
      Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ...
    • Crop monitoring system using image processing and environmental data 

      Rabbi, Shadman; Shabik, Ahnaf (BRAC University, 2018)
      We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ...
    • Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation 

      Tuhin, Md. Akram Hossan; Pramanick, Tarunya; Emon, Humayoun Kabir; Rahman, Wasiur (Brac University, 2019-04)
      Among di erent imaging techniques MRI, MRSI and CT scans are some of the widely use techniques to visualize brain structures to point out brain anomalies especially brain tumor. Identi cation of brain tumor accurately ...
    • Early detection of parkinson’s disease using image processing and artificial neural network 

      Rumman, Mosarrat; Tasneem, Abu Nayeem; Farzana, Sadia (BRAC University, 2018-04)
      Early detection of Parkinson‟s Disease (PD) is very crucial for effective management and treatment of the disease. Dopaminergic images such as Single Photon Emission Tomography (SPECT) using 123I-Ioflupane can substantially ...
    • Early prediction of Alzheimer's disease using convolutional neural network 

      Abed, Mahjabeen Tamanna; Nabil, Shanewas Ahmed; Fatema, Umme (Brac University, 2019-08)
      Neuroimaging can be a prospective instrument for the diagnosis of Mild Cognitive Impairment (MCI) along with its more severe stage, Alzheimer's disease (AD). High- dimensional classi cation methods have been commonly ...
    • 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, 2017-12-26)
      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 ...
    • Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning 

      Abir, Tawhidur Rahman; Ahmed, Touseef Saleh Bin; Rahman, Md. Tausif; Jafreen, Sumaiya (BRAC University, 2018-12)
      There has been significant development in the recent Education System with the rapid development of technology however there are very few facilities that can help those people with disabilities such people without sight. ...
    • Investigation assistant with suspect anticipating intelligence 

      Abdullah, Saqueeb; Nibir, Farah Idid; Salam, Suraiya; Dey, Akash (Brac University, 2019-08)
      Truly settling crimes have been the privilege of the criminal justice and law enforcement specialists. With the expansion of the utilization of the computerized system to track violations and follow culprits, computer ...
    • Iris communicator 

      Ali, Shahriar; Arnob, Nafis Hasrat (BRAC University, 2018-12)
      This research purposes an eye pupil tracking experimental software to enable communication abilities for individuals with severe motor impairment. Since the ability of moving eye pupil is often preserved, even in severe ...
    • Learning a deep neural network for predicting phishing website 

      Das, Robat; Hossain, Md. Mukhter; Islam, Shariful; Siddiki, Abujarr (Brac University, 2019-05)
      In recent years, we have seen a huge paradigm shift in business because of the fast development of the Web. For this reason, consumers change their tendency from customary shopping to the electronic business. In the time ...
    • Machine learning approach for improving decision support in ICU 

      Siddiquee, Mohib Billah; Fuad, Mostofa Jamil; Azmain, Md. Fahim (BRAC University, 2018-07)
      Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ...
    • A machine learning approach to detect depression and anxiety using supervised learning 

      Ullas, Md Tahmidur Rahman; Begom, Mariyam; Ahmed, Anamika; Sultana, Raihan (BRAC University, 2019-04)
      Depression, a major depressive disorder and anxiety are common medical illness which cause several symptoms that a ect the way a person feels, thinks, and the way he/she acts. These disorders are not only hard to endure, ...
    • Performance analysis of machine learning algorithms in resume recommendation systems 

      Hasan, Ibteaz; Chakraborty, Ratnadeep; Alam, Md. Ashraful (BRAC University, 2018-04)
      We present an evaluation of machine learning algorithms on a model prepared by us for improving the recruitment processes of organizations. The recruitment of candidates, being an important process for any organization, ...
    • Prediction of diabetes induced complications using different machine learning algorithms 

      Rahman, Tahsinur; Farzana, Sheikh Mastura; Khanom, Aniqa Zaida (BRAC University, 2018-08)
      Machine Learning is an ever expanding field of Artificial Intelligence which uses huge amount of data to develop algorithms that can detect patterns and systems. One such application of Machine Learning is developing ...
    • Real time online multiplayer gaming framework using kinect sensors 

      Ahmed, Imtiaz; Shabab, Khondokar Sadman; Hossain, MD. Shahadat; Akand, MD.Tashauf; Majumder, Shovon (BRAC University, 2018-04)
      A real-time online multiplayer game framework is proposed and demonstrated. The proposed model is composed of multiple Microsoft Kinect sensors and Unity 3D game development tool. The motive is to make a real time multiplayer ...