• Basketball player identification by jersey and number recognition 

  Ahammed, Zubaer (Brac University, 2018-07)

  We are interested in the problem of automatically tracking and identifying players in sports video. While there are many automatic multi-target tracking methods, in sports video, it is difficult to track multiple players ...
• Machine learning approach for face recognition from 3D models generated by multiple 2D angular images 

  Mahmud, Moinuddin; Mehzabin, Shegufta; Prova, Sabrina Jahan (Brac University, 2018-12)

  We propose machine learning approach for face recognition from 3D models generated by multiple 2D angular images that recognizes faces from multiple angle of a 3D face model. Though, many works on identifying faces from ...
• An emergency based image filtering system 

  Dhar, Bishakha; Smita, Noushin Anzum (Brac University, 2018-12)

  With the invention of new technology day by day the rate of inhuman works is also getting increased as well which ,making our life easier but at the same time unsafe. The new advanced technologies are permitting us to ...
• Personnel security system of nuclear power plants using machine learning for psychological, behavioral and social media activity analysis. 

  Neaz, Fabiha; Ahmed, Hasan Tawqir; Granthi, Marium Tasnuva; Saha, Shuvro Dev (Brac University, 2018-12)

  In this research, a novel Personnel Security Model is designed and demonstrated for detecting suspicious people in an organization especially for nuclear power plants. The proposed system composed of three subsystems and ...
• Early detection of breast cancer using machine learning 

  Fuad, Wasi Mohammad (Brac University, 2018-12)

  Breast cancer is the most common cancer among women but in can occur in both the genders. It is accountable for an appalling number of deaths worldwide. In a particularly low-resource developing country like Bangladesh, ...
• Detecting anomalies in human eyes using structural similarity index measurement 

  Jahan, Monwar; Rushu, Fazle Rabbi; Tabassum, Subah; Ferdous, Jannatul (Brac University, 2018-12)

  From the idea of anomaly, we come to learn that basically it is an idea of abnormality of eyesight, and interruption on the screen of eyes that does not fit with the rest of the pattern. Whatever we see or the images we ...
• 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 ...
• Intelligent medical data recording & management system 

  Foad, Motasim; Rafa, Israt Sahira; Navid, Sheikh Redwan Ahmed (BRAC University, 2018-12)

  Our country, Bangladesh is fast approaching for digitization but we cannot think of it without digitizing our health-care system as it plays a vital role in development. In context of Bangladesh, management of medical ...
• Nutrition system – a mobile application for pregnant woman 

  Anam, Md Toriqul (BRAC University, 2018-05)

  Malnutrition has a devastating impact on the health and wellbeing of individuals and on the economic development of countries. In Bangladesh there is scarcity of proper nutrition information system that can provide appropriate ...
• Predicting depression in Bangladeshi undergraduates using machine learning 

  Choudhury, Ahnaf Atef; Khan, Md Rezwan Hassan; Nahim, Nabuat Zaman; Tulon, Sadid Rafsun (BRAC University, 2018-12)

  Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
• Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms 

  Tasnim, Nishat; Khwaja, Atiya; Rashid, Humayra (BRAC University, 2018-12)

  Emotion recognition from facial expression is one of the most popular research sectors in Computer Science for last several years. As face recognition of different people is already established and become very common in ...
• Underwater data collection using an autonomous float-back sub 

  Sabbir, Adnan; Ahmed, Sakib (BRAC University, 2018-12)

  The more water bodies are monitored, the more efficient that watershed management system is. However, it is not always possible to manually collect water quality data to monitor water bodies. Students all over the world ...
• Structurally and semantically coherent deep image inpainting 

  Sami, Mirza Tanzim; Khan, Ehsanul Amin; Rhidita, Ishrat Naiyer (BRAC University, 2018-12)

  This thesis proposes an augmented method for image completion, particularly for images of human faces by leveraging on deep learning based inpainting techniques. Face completion generally tend to be a daunting task because ...
• Agricultural yield and profit prediction using data analysis techniques 

  Hassan, Fazal Mahmud; Zakir, Shamma Binta; Binta, Anik Shamma; Hossain, Syed Maruf (2018-12)

  This research proposes a model that will enable us to predict the agricultural outcome of a country. The prediction will include the agricultural yield for the upcoming years as well as predict the profit margin for ...
• Preserving heritage sites of Dhaka City using 3D modeling and virtual reality technology 

  Islam, Raisa; Ahmed, Salsabil; Himalay, Sadman Shawmik (BRAC University, 2018-07)

  This thesis presents a model that is aimed at preserving heritage sites of Dhaka by implementing 3D modeling and Virtual Reality technologies. The proposed model consists of reconstructed 3D models of historical establishments, ...
• Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics 

  Habib, Sumaya; Moin, Maisha Binte; Aziz, Sujana (BRAC University, 2018-12)

  With the ever increasing population of the world, diseases and their possibilities are also increasing at an alarming rate. As time passes by, diagnosing diseases and providing appropriate treatment at the right time has ...
• Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches 

  Karim, Rezwanul; Nitol, Subah; Rahman, Md.Mushfiqur (BRAC University, 2018-12)

  In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ...
• An experiential investigation on internet addiction and specific disorders like depression, self-esteem and introversion among university students 

  Rubaiyat, Nadia; Islam, Anika; Israt, Lamiah; Kabir, Lamiya (BRAC University, 2018-12)

  The tormenting hurdle that is slowly isolating the youth of this generation from being leaders of tomorrow, is depression. In recent times, students have been observed to indulge in compulsive use of Internet which has ...
• Extractive text summarization using Fuzzy-c-means clustering 

  Gani, Shafiul (BRAC University, 2018-12)

  Keeping track of the precise information from a large volume of text is an arduous task for human. Test summarization process has become one of the significant research areas for years owing to cope up with the astounding ...
• coinBD: an enhanced version of proof of work with less computational power 

  Hossain, Mohammad Badrul; Akash, Sadman Sakib; Haque, Md. Asraful (BRAC University, 2018-12)

  Cryptocurrencies are digital currency system where transactions happen in a decentralized peer to peer network without and security provided by cryptography. Blockchain is the backbone technology behind cryptocurrencies ...

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