Browsing by Author "Shakil, Arif"

Now showing items 1-20 of 22

    • Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER) 

      Hossain, Arafat; Chakraborty, Akash; Syara, Syeda Rifa; Rahman, Saadman; Tanmoy, Fahad Muntasir (Brac University, 2022-06-05)
      There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...

    • Analysis on the effects of wallstreetbets on the stock market 

      Hossain, Abir; Sarker, Zahid; Radib, Md Sadman; Taher, Sayed Bin; Samrat, Syed Mohebbullah (Brac University, 2022-01)
      In January of 2021, the stocks of various companies, i.e. Gamestop, AMC etc. had a huge surge in price. The incident was attributed to redditors of the subreddit called r/wallstreetbets making a massively coordinated ...

    • Automation of thesis management 

      Rafi, Abdullah Ar; Ehad, Sk. Sarafat Hossain (Brac University, 2022-05)
      At present, the idea of managing thesis or project work, or any work of that sort for a student and keeping track of all the due works with a rapidly paced deadline is often gruesome. For instructors and supervisors, ...

    • Bang-lish sentiment classification using deep learning 

      Saleheen, Abrar; Siam, Saleh Ahmed; Akter, Sanjeda; Ghosh, Akash; Ahona, Adiba Anbar (Brac University, 2023-01)
      E-commerce websites and social media platforms have become integral parts of peo ple’s social lives. Through posts, comments, and reviews on social media and online shopping websites, people can share their ideas. ...

    • Cloud based smart route system for blinds 

      Nijhum, Mushfikunnabi; Alam, Tasnim (Brac University, 2021-06)
      Safe and independent navigation in an unfamiliar environment is a difficult task for visually impaired individuals. Existing systems are unusable because these systems are not user-friendly and also expensive. The objective ...

    • A comparative study of traffic detection using Google map (GPS) and IoV 

      Alam, Mohd. Touhedul; Al Nayeem, Harun (Brac University, 2021-06)
      Everyone knows that time is money and nowadays people spend quite a large amount of time on the roads in their daily life. The reason behind this is nothing but ‘Traffic’. Traffic detection and navigation has gone through ...

    • Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks 

      Chakraborty, Dhruba; Rabbi, Mahima; Hossain, Maisha; Khaled, Saraf Noor; Oishi, Maria Khanom (Brac University, 2022-01)
      Content centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing ...

    • An efficient approach for binary classification in brain tumor detection using convolutional neural network 

      Islam, MD. Arman; Noshin, Sheikh Araf; Islam, MD. Robiul; Razy, MD. Farhan; Antara, Samiha (Brac University, 2022-01)
      Brain tumor detection using Convolutional Neural Network (CNN) models with binary classification has significantly improved the reliability of medical imaging through Deep Learning. The purpose of this research is to ...

    • Enterprise software development internship 

      Rafi, Omar Mahdi (Brac University, 2023-05)
      "This internship report is based on my interning period at RedDot Digital Limited from September 2022 until the end of January 2023. RedDot Digital Limited is a 100% subsidiary of Robi Axiata Ltd which is a leading giant ...

    • Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning 

      Sakib, Hasibul; Alok, Aditto Baidya; Huq, Fardin; Ullah, Shamsil Arafin; Ghosh, Riya (Brac University, 2023-09)
      Cancer, an enduring medical enigma with historical recognition dating back to ancient civilizations, remains without a definitive cure. This research undertakes a comprehensive investigation encompassing nine prevalent ...

    • Inappropriate scene detection in a video stream 

      Tofa, Kamrun Nahar; Ahmed, Farhana; Shakil, Arif (BRAC University, 12/14/2017)
      In this paper, we attempted to propose a model to detect inappropriate scenes, such as nudity, weapons, danger, drugs, gore, etc. in any video stream. The detection part is divided into different steps. The very first step ...

    • IoT based Road accident controlling model using Wireless Body Area Network and GPS 

      Islam, Nayem-Ul; Zahid, MD. Tanvir; Zakwan, Kazi Fahd (Brac University, 2021-01)
      With the rapid growth of population and number of vehicle, trac collision and volume of accident is increasing rapidly. The lack of awareness, road condition, driver’s physical condition, car’s states are main causes behind ...

    • Key process to use information system in Bangladesh hospitality industry 

      Rifat, A.K.M. Azimul Haque; Khan, Ahnaf Rahman; Fairoz, Faiza; Tanzim, Sarah (Brac University, 2022-05-29)
      Technology has helped humankind replace expensive human labor with technological labor. This helps reduce labor costs but also helps avoid customer service issues. It’s currently utilized to help people handle data more ...

    • A model for detecting fake Negative Acknowledgements (NACK) in named Data Network (NDN) using Blockchain Technology 

      Saha, Ritwick; Shiva, Tahsina; Akter Tayeeba, Kazi Sharmin (Brac University, 2022-05)
      Data Networking is a new concept in current internet technology that replaces the traditional TCP/IP architecture by addressing nodes depending on user interest. Due to the massive volume of traffic generated, Internet ...

    • A model for underwater security in communication using Secret Key Algorithm and Node Value 

      Shuvo, MD. Saidul Arifin; Firdaus, Mustafa Tamim (Brac University, 2021-06)
      Underwater wireless network has become one of the most significant research areas in the networking field nowadays as it has huge possibilities. Underwater communication can be used for collecting data of undersea ecology, ...

    • Parking data analysis 

      Ahamed, Kasfi; Haque, Fardin; Rasheed, Ahnaf Ar; Rahman, Md. Arban (Brac University, 2023-03)
      Car parking is a hassle for everyone in one word, but when it is in a country where population is an issue, parking problems can easily stress someone out. Car parking is a key contributor to traffic congestion and has ...

    • Performance enhancement of 5G Network using NB-IoT with LTE-M and Novel RASS Algorithm 

      Sakib, Md. Nazmur; Islam, Md. Shamiul; Islam, Md. Rifatul (Brac University, 2022-01)
      With the fast growth of heterogeneous technology, today’s world is influenced by the Internet of Things (IoT) in immense ways. IoT networks connect resource constrained devices to provide automatic services which require ...

    • Predicting climate induced floods using machine learning 

      Saleh, Chowdhury Nafis; Alam, Farhan; Khan, Md. Jawad (Brac University, 2022-01)
      Climate change has been causing devastation on the economy of the country and the world as a whole. The study aims to determine how climate change would impact the frequency and severity of one of the major natural ...

    • Research on generative sign language using neural networks 

      Selim, Bushra Binte; Iqbal, Maliha; Shahriar, Asif; Faria, Fauzia; Mostafa, Rafid (Brac University, 2021)
      Sign gesture, which is one type of non-audible specialized strategy is the medium to correspond with individuals having auditory and talking incompetency. There are numerous computerized methods of creating gesture-based ...

    • Sentimental analysis of customer product Reviews to understand customer needs using machine learning 

      Symum, Md Abdullah Al; Sheemu, Subarna Yeasmin; Asif, Abu Saleh Md.; Islam, Konika (Brac University, 2023-05)
      People are influencing aspects of the digital world through machines. As a result, it is crucial to upgrade and use this aspect to do so. In the past, people used written letters to provide feedback. However, people are ...