Recent Submissions

  • Finding habitable exo planets using boosting algorithm 

    Rahman, Md. Mashfiq; Afrin, Naba (Brac University, 2018-12)
    The first moment man extended their boundaries outside of our Earth, from that moment they were looking for another habitable planet, where they may live in future. Including NASA, many international space organization ...
  • 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 ...
  • Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data 

    Islam, Saqib Al; Aziz, Rifah Sama; Ahmed, Aritra; Abida, Fauzia (Brac University, 2019-09)
    A credit score is a numerical expression based on a level analysis of a person's credit files, to represent the creditworthiness of an individual. The credit score plays a major role in banks, financial institutions ...
  • Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model 

    Arnob, Raisul Islam; Alam, Rafatul; Alam, Alvi Ebne (Brac University, 2019-08)
    This paper proposes the forecasting of correlation coe cients of Dhaka Stock Ex- change market assets required for portfolio optimization using an ARIMA-LSTM hybrid model. We have developed a robust model that encompasses ...
  • Bangla sign language recognition using leap motion sensor 

    Tan, Tamkin Mahmud; Mondol, Anna Mary; Nawal, Noshin; Ahmed, Sabbir (Brac University, 2019-08)
    Sign language is used by hearing and speech impaired people to transmit their messages to other people but it is difficult for a regular people to understand this gesture based language. Instantaneous responses on sign ...
  • Bangla speech to text conversion using CMU sphinx 

    Bristy, Israt Jerin; Shakil, Nadim Imtiaz; Musavee, Tesnim; Choton, Akibur Rahman (Brac University, 2019-08)
    Speech is the most normal type of communication and association between people while content (text) and images are the most basic types of exchange in the computer system. Therefore, enthusiasm in regards to transformation ...
  • Best feature selection and data visualization for breast cancer prediction 

    Hemel, Tanjim Ahmed; Parvez, Rohan (Brac University, 2019-09)
    Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ...
  • 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 ...
  • Stock price prediction using time series data 

    Mazed, Mashtura (Brac University, 2019-08)
    Researchers has taken a lot of years to make algorithms fast and accurate enough to make stock price predictions accurately. Investors are looking for smarter techniques to forecast stock prices for investments and this ...
  • Early detection of chronic kidney disease using machine learning 

    Abrar, Tahmid; Tasnim, Samiha; Hossain, Md. Mehrab (Brac University, 2019-09)
    Chronic kidney disease (CKD) is a global prevalent ailment that causes lives in a predominant number. CKD is the 11th most deadly cause of global mortality with 1.2 million death each year and according to kidney Foundation ...
  • Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis 

    Anough, Ahmed Saquif Alam; Hossain, Md. Tahmid; Karim, Kazi Ruzlan; Faruk, Umar (Brac University, 2019-08)
    Recognizing a growing need to accommodate students of varied backgrounds and account for individual di erences in learning curves, this paper re ects on our work to implement a Temporally Coherent Clustering approach ...
  • Road sign detection and translation in Bangla using image processing and machine learning 

    Islam, Khalid Amirul; Mubin, Nadia Farha; Zaman, Saima (Brac University, 2019-08)
    For the drivers while driving, road signs play very important role but it is really challenging for the drivers' if they are not at home with the meanings of the signs. Driving is a process which is complex, continuous, ...
  • Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet 

    Al-imran; Shams, Baniamin; Nasim, Faysal Islam (Brac University, 2019-08)
    Despite signi cant recent achievements in the eld of face recognition, implementing proper face recognition system by training enough data is still a problem because not everyone has enough photos that we can use to ...
  • Fault detection in waste water treatment plant using statistical analysis & machine learning 

    Haque, Md. Ezazul; Islam, Md. Mazed Ul; Rahat, Noor A Elahi; Amin, Md. Mahmudul (Brac University, 2019-12)
    A suitable model needs to be developed for detecting fault of wastewater treatment plant in order to monitor, predict plant performance and for reducing environment pollutions. Main objective of this study is to introduce ...
  • Identifying the best metrics to find the best quality clusters of genes from gene expression data 

    Choudhury, Joydhriti; Roshni, Tanzima Rahman; Chowdhury, Md. Tawhidul Islam; Rayon, Raihanoor Reza (Brac University, 2019-04)
    Microarray data is used to create groups of similar genes based on their phenotypic attributes. Information extracted from these groups of gene can be applied to path- way analysis, disease predictions, target identification ...
  • Classi fication of motor imagery tasks based on BCI paradigm 

    Hossain, Nahid; Hasan, Bhuiyan Itmam; Mohona, Mahfuza Humayra; Noshin, Kantat Rehnuma (Brac University, 2019-09)
    Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ...
  • Emotion recognition using EEG signal and deep learning approach 

    Islam, Sayedi Hassan Bin; Mehdi, Md. Quamar; Rohan, Bhuiyan Yash; Mahmood, Syed Atif Imtiaz (Brac University, 2019-08)
    Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ...
  • Market sales prospecting by analyzing customer buying pattern using machine learning 

    Ahmed, Tanjil; Rahman, Salman; Routh, Niloy; Nirob, Eftakhar Alam (Brac University, 2019-08)
    For improving business, the organization needs to analyze the buying pattern of their customer to keep track of all products that are being sold the most so that they could keep the stocks of those products and remove ...
  • 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 ...
  • EEG signals analysis for motor imagery brain computer interface 

    Rahman, La z Maruf; Alam, Zawad; Rahman, Md. Musta-E-Nur (Brac University, 2019-08)
    A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ...

View more