Recent Submissions

  • 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 ...
  • Investigation and performance analysis of Nanoscale communication network for biomedical application 

    Liza, Farhana Ahmed; Hasan, Mahmudul; Islam, Nusrat; Paul, Tanmoy (Brac University, 2019-08)
    Biomedical application consists of the transmission of information inside the human body using nanoscale communication network. This transmission is affected by a number of factors. In this thesis, our goal was to investigate ...
  • Anomaly detection In IoT using machine learning algorithms 

    Arko, Aritro Roy; Khan, Saadat Hasan; Preety, A a Anjum; Biswas, Mehrab Hossain (Brac University, 2019-08)
    Internet of Things (IoT) is growing as one of the fastest developing technologies around the world. With IPv6 settling down, people have a lot of addressing spaces left that even allows sensors to communicate with each ...
  • Human recognition using wireless router signal 

    Chowdhury, S. M. A. Muksit; Shawon, Hasinur Are n; Patwary, Tanvir Wazy Ullah; Rahman, Rukshanda (Brac University, 2019-08)
    Human identi cation technology can revolutionize numerous sectors in human life and a large number of methods already exist to identify humans such as voice recognition, ngerprint identi cation, face recognition and so ...
  • Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques 

    Nirjhor, S M Mahsanul Islam; Chowdhury, Mohammad Abidur Rahman; Sabab, Md. Nazmus (Brac University, 2019-08)
    In the area of machine learning, speech recognition was always a hot topic but as world's 8th most widely spoken language Bangla hasn't got the focus as much as she deserved. This research will be on speech recognition ...
  • Integration of data clustering to intelligent email classifier 

    Zisan, Shahriar Ahmed (Brac University, 2017)
    In recent years there are more than billion of email users .People are dependent on electronic mails. ft has become an urgent and crucial component of communication .One of the cheapest and fastest communication mean. ...
  • An application based improved round robin CPU scheduling for real time operating system 

    Mahmud, Nasif; Afrin, Sadiya; Rahman, Fwzana; Monirujjaman, Md. (Brac University, 2017-04)
    CPU scheduling is the primary and very important part of any operating system. CPU scheduling criteria is based on multi programming operating system. CPU executes one process at a time and other process is in waiting ...
  • Detection and recognition of Bangladeshi fishes using surf features and CNN classifier 

    Shuhin, Syed Adiba; Tajrin, Jannatul; Akhter, Afrin; Israth, Chowdhury (Brac University, 2018-07)
    This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ...
  • 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 ...
  • Cleaning of web scraped data with Python 

    Tarannum, Tasnuva (2019-04)
    Today, data expect a basic occupation in individuals' step by step works out. With the help of some database applications, for instance, decision sincerely steady sys- tems and customer relationship the board structures ...
  • 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 ...
  • Exploring cognitive load and emotional states for the visually impaired 

    Afroz, Sharmin; Shimanto, Zubaed Hassan; Jahan, Ra qua Sifat (Brac University, 2019-04)
    Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ...
  • A robust cursor activity control with Iris gesture and blink detection technique 

    Islam, Md. Rayhan Al; Rahman, Maliha; Rezyuan, Md. (Brac University, 2019-04)
    Using computers for people with very limited or no arm movements is a very tough task and most of the time impossible. In this paper, we are proposing an iris based cursor control system developed speci cally for physically ...
  • Cross-cultural comparison of food appetite and restaurant features 

    Islam, Md Sami Ul; Abib, Md. Shariful Huq (Brac University, 2019-04)
    Food business has expanded drastically over the years. It’s safe to say that you never have to make a loss for a restaurant business today onwards. People have become food lovers and they are always in search of new dishes ...
  • 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 ...
  • 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 ...

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