School of Engineering and Computer Science (SECS): Recent submissions

  • Hasib, Tamanna; Rahin, Saima Ahmed (BRAC University, 2017)
    Sentiment analysis has become one of the most important tools in natural language processing, since it opens many possibilities to understand people’s opinions on different topics. Aspect-based sentiment analysis aims to ...
  • Rahman, Ramiz Ihteshamur; Kadir, Sk. Sajidul (BRAC University, 2017-12-14)
    Movies have been classified into genres since the inception of the medium. However, even till this day, the process of classifying movies into genres has been a manual, time consuming task requiring human expertise. Some ...
  • Bose, Deep; Bibu, Rana Kayser; Shovon, Tanvir Mahmud (BRAC University, 2017-12-24)
    The constant demand to improve daily living standards for paralysis patients or general people serves as a motivation to develop newer technology. The tasks once performed by big traditional computers are now solved with ...
  • Ornab, Ashique Mohaimin; Chowdhury, Sakia; Toa, Seevieta Biswas (BRAC University, 2017-12-26)
    The purpose of this research is to study the different techniques that can be approached in order to build a recommendation system. Here, we have analyzed the different approaches between two different collaborative filtering ...
  • Islam, Anika Binte; Chowdhury, Fahim Salam; Nusrat, Fariha; Kabir, Kazi Lutful; Sarwar, Hasan (© 2016 IEEE, 2016)
    Image enhancement is the process of modification of digital images in order to make quality resultant images such that those can be subjected to further manipulation (like further image analysis). There are several ways ...
  • Habib, Arafat; Khan, Muhidulislam (© 2016 IEEE, 2016-11-28)
    Cloud computing is a rapidly emerging field, services and applications are more or less 24/7. Resource dimensioning in this field is a great issue. Research is already going on to imply reinforcement learning to automate ...
  • Ghosh, Soumen; Mehedi, Nayeem; Khandoker, Sahariar; Aanwar, Sabbir (BRAC University, 2017-12-24)
    Software Defined Networking (SDN) is a new idea of networking where Central Server takes all the decisions and finds a path for a packet to move from source to destination whereas in traditional networking a router takes ...
  • Alam, Md Ashraful; Islam, Md Sifatul; Tareque, Mohd Zishan; Subhani, Mahfuze; Rafi, Mohammad Rashidur Rahman; Alam, Md Ashraful; Kim, Nam (© 2017 SPIE, 2017-02)
    A novel method of viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing is proposed. The proposed system is composed of three processes: information ...
  • Abdullah, Matin Saad; Pathan, Al Sakib Khan; Al-Shaikhli, Imad Fakhri Taha (© 2017 Zarka Private Univ., 2017-01)
    About 80 percent of the world’s Muslim populations are non-native speakers of the Arabic language. Since it is obligatory for all Muslims to recite Qur’an in Arabic during prayers, an extraordinary social phenomenon has ...
  • Chowdhury, Md. Abu Hena; Chowdhury, Rakib Hasan; Hossain, Shoaib; Sakib, Sadman Md (BRAC University, 2017-12)
    Most of the devices we use today from a day to day basis are considered smart. What do they mean by smart? What they mean is that they possess the ability to share and hold information amongst each other. Since the ...
  • Ratul, Md Aminur Rab; Raja, Sharif Ahmmad; Uddin, Jia (© 2017 ACM, 2017-01)
    Texture feature extraction consolidated with texture feature detection and feature matching solves many typical problems of image processing and computer vision; such as, texture classification, pattern recognition, object ...
  • Mostafi, Sifatul; Khan, Farzana; Antar, Md Kamrul Islam; Robinuzzaman, A.K.M. (BRAC University, 2017-12-26)
    The traffic is growing exponentially and expected to be more congested by thousands of millions of vehicles in near future and will become an inescapable problem across the world. It will certainly be troublesome to ...
  • Tabassum, Afrida; Abdullah, Wali Mohammad; Manjur, Najia; Islam, Rehennuma; Ahmed, Ashfaque Uddin; Morshed, Shourav Imtiaz; Tinni, Rizia Iqbal; Kabir, Kazi Lutful; Islam, Muhammad Nazrul (© 2016 IEEE, 2016-12)
    In comparative genomics, a common issue is to find the shortest course of operations for the transformation of one genome into another. During rejoining the blocks, inverted block interchange, a more distinct form of block ...
  • Soobhee, Ateeq-Ur-Rahman; Ruma, Kamrun Nahar; Ahsan, Md. Fakhrul; Hossain, F. M. Fahmid (BRAC University, 2017-12-26)
    Since the beginning till present, the technology demands to store as massive data as possible in as little space as possible. As web, mobile, desktop and all other applications use image for different purposes, image ...
  • Majed, Mohammad Kaif Ul; Mariam, Anika; Noshin, Afia; Khan, Md. Jamiul Alam (BRAC University, 2017-12-14)
    In everyday life we are using Internet with fixed routing configurations such as Broadband, mobile data etc. Pocket Switch Networks (PSN) uses phones as the medium to connect with other people without a fixed cellular ...
  • Barua, Rupa; Shadman, Shauvik; Chakrabarty, Amitabha (© 2016 IEEE, 2016-12)
    Transferring messages or packets through a network using human mobility as a means, requires intelligent routing decisions. Throughout an opportunistic network, nodes travel with a few messages and searches for an opportunity ...
  • Ananto, Azizul Haque (BRAC University, 2017-12)
    We present a deep learning model for playing games with high level input (image/raw pixel) using reinforcement learning. The games are action limited (like snakes, catcher, air-raider etc.). The model consists of convolution ...
  • Jamil, Tanzila (BRAC University, 2017-12-24)
    A Wireless Sensor Network (WSN) offers the advantages of low power consumption and low cost. For some applications e.g. distributed surveillance, emergency, and rescue etc., ZigBee technology is needed to support multimedia ...
  • Rahman, M M Shaifur (BRAC University, 2017-12-24)
    In the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) are using massively in the field of computer vision and machine learning. This deep learning technique provides ...
  • Nipu, Md. Nafiul Alam; Talukder, Souvik (BRAC University, 2017-12-26)
    There have been a large number of methods already exists to identify human(e.g.,face recognition, gait recognition, fingerprint identification, etc.). Channel State Information(CSI) obtained from Wifi chipsets already has ...

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