Now showing items 1374-1393 of 1401

    • Visual object recognition using deep convolutional neural network 

      Ahmed, Sabbir (BRAC University, 2017)
      Visual object recognition has been lying at the convergence point between machine learning, computer vision and AI since the very beginning. From robotics to information retrieval, many desired applications demand the ...
    • Visual speech recognition using artificial neural networking 

      Sharmili, Nowshin; Tasnim, Lamia; Shamsuddoha, Iftekhar; Ahmed, Tahsin (BRAC Univeristy, 8/22/2017)
      Automatic Speech Recognition plays an important role in human-computer interaction, which can be applied in various application like crime-fighting and helping the hearing-impaired consists of two domain – Audio Speech ...
    • Visualization in participatory program (VIPP) 

      Rakib-Ul-Hoque; Alam, Shariful (BRAC University, 2006-12)
      We use several programming language for our project. like we use MySQL server for the database system. For the SMS sending and receiving we use ActiveXpert software. For report generating we use Crystal report. We use ...
    • Visualization of security vulnerabilities through intrusion detection system 

      Ahmed, Ibrar; Faruqe, Farhana (BRAC University, 2007-09)
      Security in computer and computer network is of great importance now-a-days. Identifying attacks and taking appropriate measure by system administrator is of special concern. This paper is a study and proposal of an ...
    • Voice command based android java code generator 

      Islam, MD. Shakerul; Mobarak, Hosne; Islam, MD. Mominul (BRAC University, 2018)
      The world is moving toward voiced based interaction with devices. A voice based code generator can make the work of a developer much easier and faster as well as bring hope for physically challenged programmers. Moreover, ...
    • Voice impersonation detection using LSTM based RNN and explainable AI 

      Barua, Kawshik; Rahim, Abdur; Parizat, Prantozit Saha; Noor, Md.Asad Uzzaman; Jannah, Miftahul (Brac University, 2021-10)
      The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are ...
    • Voice recognition using machine learning and central database to enhance security system 

      Nur, Mir Md. Taosif; Dola, Sumaiya Sultana; Banik, Apurba Kishore; Akhter, Tanzeem; Hossain, Nafees (Brac University, 2022-01)
      Voice recognition refers to the purpose of interpreting voice or identifying any individual voice. In modern days of technological advancement voice recognition has been playing an integral part behind many machine ...
    • A voice signal based gender prediction model using random forest classifier 

      Ahmed, Saif; Hossain, Sajjad; Chowdhury, Gazala; Mehnaz, Maliha (BRAC University, 2018-04)
      In the proposed model, Classification and Regression Tree (CART) was used as a classifier to classify gender using four different algorithms which were tested with changing dataset frames, layer sizes and samples to get ...
    • VOIP adoption and bussiness prospective in Bangladeh 

      Ruhanuzzaman, MD.; Mahmud, Nahid (BRAC University, 2007-12)
      Voice over Internet protocol - VoIP, or IP telephony is a technology by which the routing of voice communications are done through Internet or any other Internet Protocol (IP) based networks. Here the voice data ...
    • Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks 

      Jahan, Rufyda (BRAC University, 2019-04)
      With the advancement of technology, the virtual platform and social media have become an important part of people’s daily life. The social media allows users to communicate, to express their feelings and to discuss on ...
    • Warning traffic sign detection using learning vector quantization & hough transform and recognition based on HOG 

      Tora, Moumita Roy (BRAC University, 2014-01)
      Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. Fast real-time and robust automatic traffic sign detection and recognition can support and disburden ...
    • Waste management system using RFID and ultrasonic sensor 

      Rahman, Md. Mafiur; Das, Nejhum Kanti; Rahat, Fardin Rizvy; Alif, Shamsul Arefin (Brac University, 2022-01)
      Bangladesh is a developing country, developing many different sectors of our country and countrymen although waste management quality is not very appreciable right now. We are introducing a smart waste management system. ...
    • Wearable computing devices for the visually impaired 

      Karim, Shakil Bin; Mustafa, Nayyar (BRAC University, 8/10/2016)
      This thesis is about creating a prototype of wearable computing devices that possess the ability to aid the mobility of the visually impaired. The devices are a belt and a pair of shoes which are connected via Bluetooth ...
    • Weather forecasting using Deep Learning 

      Fahad, Sheikh Abdul; Trina Akand, Takowa Islam; Ahammed Raju, Md. Reaj Uddin; Yadav, Ranjita (Brac University, 2022-09)
      Global human life is significantly impacted by weather forecasts. It takes a lot of computing resources to solve mathematical equations that are based on climatic circumstances. As a result, during the past ten years, ...
    • Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques 

      Habib, Adria Binte (Brac University, 2021-06)
      It is known to all that the existence of life is highly dependent on the weather. Due to the unfavorable condition of current global weather the existence of life is in danger already. Since for the existence of lives a ...
    • A web and software-based approach blending social networks for online Qur’anic arabic learning 

      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 ...
    • Web mining for better web usability 

      Mostafiz, Golam (BRAC University, 2007-12)
      To develop more effective user-oriented learning techniques for the Web, we need to be able to identify a meaningful session unit from which we can learn. Without this, we could have a high risk to mix up the different ...
    • What is relevant in a text document a machine learning based approach 

      Mahmud, Abdullah Al; Noor, Jannat-E; Reshad, Sadman Alam; Fuad, Syed Nafis (Brac University, 2021-06)
      Text Documents often contain valuable data. But not all data is relevant. That is why extracting relevant data from text documents is an essential task. Extracting relevant data from text documents refers to the study ...
    • Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment 

      Shihab, Ibne Farabi; Oishi, Maliha Moonwara (BRAC University, 2018)
      A restaurant business is a very prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest ...
    • Wireless LAN 802.11 security 

      Hasan-Al-Banna; Rajib, Riaz Mahmood (BRAC University, 2008-01)
      When the wireless communications is coming to the offices and the homes, there are some new security issues to be taken care of. Today we have continuously growing markets for the wireless LANs, but there is big black ...