Recent Submissions

  • Botnet detection In IoT devices using machine learning 

    Rouf, Shakir; Akash, Nazmus Sakib; Chowdhury, Amlan; Jahan, Sigma (Brac University, 2019-12)
    Internet of Things (IoT) devices are a group of interconnected devices or machines that have the ability to transfer data over a network without the influence of any external factor. The technology makes use of sensor ...
  • Classification of modulated motor cortex based on Anodal and Cathodal tDCS 

    Chowdhury, Zarif Ahmed; Alam, Dewan Nahidul; Nahid, Md. Abu Fattah Hossain Bhuiyan (Brac University, 2019-12)
    Over the centuries, humans have wished to achieve the ability to understand the inner functions of the mind and brain. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes ...
  • Sentiment analysis on mobile operators’ customer review 

    Hossain, Mohammed Mohibul; Rahman, Md. Mostafizur; Seaum, Samin Yeasar; Ahmed, Akil (Brac University, 2019-12)
    Mobile is a great invention for the global village. Now, people from different corners of the world are interconnected over this device. Therefore, in Bangladesh, there are different telecommunication companies have ...
  • Efficient blockchain system based on proof of segmented work 

    Ahmed, Rashad; Ahmad, Alif; Monem, Maruf; Jumana (Brac University, 2019-12)
    The use of Blockchain in Cryptocurrency introduces a technology that acts as an unswervingly growing ledger with the capability to keep an everlasting record of all the transactions that have taken place, in a secure ...
  • 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 multimodal approach of sentiment analysis to predict customer emotions towards a product 

    Islam, Shadman; Rahman, Moshiur; Ali, Samina Tuz Zohura; Shahrior, Tawhid (Brac University, 2019-12)
    Begun roughly a decade ago, Sentiment analysis, the science of understanding human emotions, can trace its roots back to the middle of the 19th century. The motive of sentiment analysis is to extract and predict human ...
  • Implementing a recommender system for Bangladeshi faculty search using machine learning 

    Hasan, Md.Khalid (Brac University, 2019-12)
    Machine learning is a one of the popular fields in Computer Science. In my thesis research the focus is to implement a recommender system for Bangladeshi faculty search. Selecting a appropriate faculty or thesis supervisor ...
  • Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network 

    Rayhan, Mohammad; Sultana, Samiha; Majid, Annur (Brac University, 2019-12)
    This study shows importance hierarchy of financial factors of corporations’ Goodwill and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ...
  • SLA and cost-aware cloud service provisioning through matching game and TOPSIS model 

    Karim, Rifat Shahriar; Rhythm, Shabab Hossain; Islam, MD.Rakibul; Kawwshik, Kazi Asif Ahmed (Brac University, 2019-12)
    Cloud service delivery is based upon Service Level Agreements (SLA) reflecting a customer and service provider signature agreement setting out the terms of the agreement, Providers must use resources efficiently to ...
  • Traffic sign recognition using deep learning 

    Amir, Afia Binte; Nisa, Umme Habiba; Shafi, Ali Ashab; Reza, Md. Rafid-Ur (Brac University, 2019-12)
    Traffic sign recognition plays a significant role in modern automated driver assisting systems and showing information about safety measures. It is a technology that allows users to recognize traffic signs in real-time, ...
  • Analysis of malware prediction based on infection rate using machine learning techniques 

    Zawad, Safir; Mansur, Raiyan; Evan, Nahian; Asad, Ashub Bin (Brac University, 2019-12)
    In this modern, technological age, the internet has been adopted by the masses. And with it, the danger of malicious attacks by cybercriminals have increased. These attacks are done via Malware, and have resulted in ...
  • Prediction of human activity using machine learning 

    Tisha, Sadia Nasrin; Alvee, Benjir Islam (Brac University, 2019-12)
    Involving machine learning in recognizing human activities is a widely discussed topic of this era. It has a noticeable growth of interest for implementing a wide range of applications such as health monitoring, indoor ...
  • Hate speech detection from social networking posts using CNN and XGBoost 

    Shahadat, Ashraf Bin; Rony, Md. Mizanur Rahman; Anwar, Md. Adnanul; Joy, Eialid Ahmed (Brac University, 2019-12)
    The increasing growth of social networks and microblogging websites have enabled people from different backgrounds and diverse moral codes to communicate with each other quite easily. While social media promotes communication ...
  • Human Activity Recognition using wearable body sensor by machine learning approach 

    Promi, Sadia Tangim; Rahman, Md. Zahidur; Mostafa, Moumita; Harun, Sarah Bintay (Brac University, 2019-12)
    The prevalence of electronics devices and the increase in computer resources, like networking, storage, accessibility and sensor capacity, have significantly improved the lives of humans. Now a days most smart devices ...
  • Heartbeat sound feature extraction and classification 

    Bibrity, Fariha Chowdhury; Jahan, Farhana; Khan, Md. Shahriar (Brac University, 2019-12)
    Heart diseases has ranked top as the cause of death globally. The harsh truth is, in this time it is hard to get proper medical treatment in proper time and still it is costly. Now the only light of hope is coming from ...
  • Leaf classification by feature extraction using CNN 

    Bhuiyan, Md. Mazharul Islam; Nowshin, Jakia; Jaheen, Atkiya (Brac University, 2019-12)
    Plants are an integral part of our nature. The identification and classification of plant leaves has always been a matter of interest for the botanists as well as the laymen. Classification of plant leaves will enable ...
  • Blockchain based land registry with Delegated Proof of Stake (DPoS) consensus in Bangladesh 

    Shahriyer, Mohammad Muhtasim; Monim, Mobashir (Brac University, 2019-12)
    Land Registry documents are legally binding documents provided by the government to owners of land as proof of their ownership. In developing countries such as Bangladesh, it is essential to combat the challenges which a ...
  • Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track 

    Issa, Razin Bin; Rahman, Md. Saferi; Das, Modhumonty; Barua, Monika (Brac University, 2019-12)
    This research focuses on autonomous traversal of land vehicles through exploring undiscovered tracks and overcoming environmental barriers. Most of the existing systems can only operate and traverse in a distinctive ...
  • Digital supply chain management ecosystem powered by Blockchain Technology 

    Ahsan, Syed Rifat; Mehrin, Yousra; Yousuf, Ismat Sifat; Khan, Zunaira (Brac University, 2019-12)
    Most of the leading companies of the world are investing heavily in a computerized system to maintain their supply chain management. From collecting manufacturing equipment all the way to final delivery, products are ...
  • Consumer behaviour analysis using EEG signals for Neuromarketing Application 

    Amin, Chowdhury Rabith; Hasin, Mirza Farhan; Leon, Tasin Shafi; Aurko, Abrar Bareque (Brac University, 2019-12)
    Neuromarketing is applying neuropsychology in marketing research which studies consumer sensory-motor such as cognitive and affective response to marketing stimuli with the help of modern technologies. It is one of the ...

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