• Crime scene prediction by detecting threatening objects using convolutional neural network 

  Nakib, Mohammad; Khan, Rozin Tanvir; Hasan, Md. Sakibul (BRAC University, 2017-04-13)

  Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ...
• A viseme recognition system using lip curvature and neural networks to detect Bangla vowels 

  Akhter, Nahid (BRAC Univeristy, 2016)

  Automatic Speech Recognition plays an important role in human-computer interaction, which can be applied in various vital applications like crime-fighting and helping the hearing-impaired. It consists of two domains – Audio ...
• Staircase and escalator detection for visually impaired 

  Zereen, Aniqua Nusrat (BRAC Univeristy, 2016-06)

  In this thesis, two different methods are presented for staircase detection. First method works with real time captured still image and second method with real time video. Stairway detection and identification of up stair ...
• Karighor: arts and crafts for rural development 

  Arif, Nuzhat; Zohora, Fatema Tuz (BRAC University, 2016-12)

  Bangladesh is a country rich in culture and native artistic talent. There are many different arts and crafts that have been part of our culture for generations, such as the Jamdani Shari, Nakshi Kantha blankets, sharis and ...
• A new feature extraction technique for person identification 

  Muazzam, Shakib; Ali, Tahsin Mohammad; Shuvo, Md. Mehedi Hasan; Kaisar, Nabid (BRAC University, 2017-04-18)

  This paper proposes a one of a kind model of human distinguishing proof by which we can supplant the persevering work of individuals if there should arise an occurrence of security. Our technique is for the most part in ...
• An automated traffic signal management system 

  Chowdhury, Partha Narayan; Ray, Tonmoy Chandra (BRAC University, 2017-04-18)

  Today, traffic congestion has turned out to be a very significant issue due to the increasing number of vehicles and poor traffic management in our busy overcrowded cities. In order to maintain the continuous piling of ...
• Sentiment analysis for Bengali newspaper headlines 

  Hossain, Mohammad Samman; Jui, Israt Jahan; Suzana, Afia Zahin (BRAC University, 2017)

  In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We ...
• Human fall control system for disabled people using double inverted pendulum 

  Rashid, Md. Rezaur; Shuvra, Neel Kanto Das; Roy, Raj Shekhor; Sarker, Shraboni (BRAC University, 2017)

  Self-balancing is an important role of human body which helps us to stand, to walk or swaying on feet. Without balancing, our body may fall because our legged system can’t hold if there is any disturbance. In this research, ...
• Important keywords extraction from documents using semantic analysis 

  Hasan, H. M. Mahedi; Sanyal, Falguni (2017-04)

  Keyword extraction is an automatic selection of terms which describes the content of a document. Keywords define the terms that represent the core information from the documents. In order to go through massive amount of ...
• An improved image registration technique for shape reconstruction 

  Roy, Biprojit; Oishe, Geetanjali (BRAC University, 2017)

  Image registration is a very useful technique in the field of Image processing. It has many potential applications for shape and angle estimation. Image registration is a basically aligning two or more images into one ...
• A twin prediction method using facial recognition feature 

  Nafees, Masnoon; Fuad, Md. Shamsuzzaman (BRAC University, 2017-04-18)

  The high similarity between identical twin is known to be a great challenge for Face Recognition Technology. As Face Recognition Technology handles identification and the verification of identity claim of a person, it is ...
• Real time classroom attendance management system 

  Islam, Md. Shafiqul; Mahmud, Asif; Papeya, Azmina Akter; Onny, Irin Sultana (BRAC University, 2017-04-18)

  Face recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. Classroom attendance management system is one of the applications. Traditional ...
• A new pattern recognition method for abnormal event detection in crowded scenarios 

  Mostafa, Tahjid Ashfaque (BRAC University, 2017-04-18)

  We propose an autonomous video surveillance system which analyzes surveillance footages of extremely crowded scenes and detects abnormal events. For any particular scenario, any event that diverts from the usual pattern ...
• Speech recognition using feed forward neural network optimized by principle component analysis 

  Momo, Nusrat Suzana (BRAC University, 2017-04-18)

  In our proposed model we have used PCA as dimension reduction technique and neural network for pattern recognition. Our goal was to recognize audios of two vowels spoken by Parkinson’s disease Patient. The vocal of these ...
• Inference of gene regulatory metwork (GRN) rrom gene expression data using k-means clustering and entropy based selection of interactions 

  Galib, Asadullah Al; Rahman, Mohammad Mohaimanur (2017-04)

  Inferring regulatory network from gene expression data only is considered a challenging task in systems biology, and the introduction of various high-throughput DNA microarray technologies in the collection of expression ...
• Bangla sign language interpretation using image processing 

  Arko, Fahmid Nasif; Tabassum, Nujhat; Trisha, Taposhi Rabeya; Ahmed, Fariha (BRAC University, 2017-04-18)

  Instant feedback on sign language can greatly improve sign language interpretation. In this project we plan to use efficient methods to detect the hand correctly using skin detection algorithm and removing all noise using ...
• User priority based efficient CPU scheduler algorithm for real time systems 

  Siam, Meshkat Mahfooz (BRAC University, 2017-04)

  Operating systems at present face a large workload and are restricted by limited processing power. This may lead to lower than expected performance in practice. To counter this the operating system can apply an organizing ...
• An interactive knowledge based recommender system for tourism 

  Ahmed, Wakil; Nur, Farah; Hema, Nabila Bhuyan; Ahmed, Nasim (BRAC University, 2017-04)

  The purpose of this project was to construct a centralized tourist management system that would serve as a consolidated platform to provide an effective and efficient mechanism for tourist management and means for availing ...
• Predicting stock market movement using sentiment analysis of twitter feed 

  Chakraborty, Pranjal; Rony, Rashad Al Hasan; Pria, Ummay Sani (BRAC University, 2017-04-16)

  Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ...
• Microblog sentiment analysis for rating TV shows 

  Abdullah, Ashik (BRAC University, 2017-04-18)

  Sentiment analysis is being used on many fronts to extract public sentiment. It can collect data automatically from micro blogging sites,such as Twitter. This user generated data can be used for various application. For ...

View more