Now showing items 355-374 of 1568

    • Congestion control in Mobile Ad-Hoc networks (MANETs) 

      Alam, Md. Mahbubul; Shetu, Tanmoon Taz (BRAC University, 2011-04)
    • Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence 

      Shahir, Rafiad Sadat; Humayun, Zayed; Tamim, Mashrufa Akter; Saha, Shouri (Brac University, 2023-09)
      Despite artificial neural networks being inspired by the functionalities of biological neural networks, unlike biological neural networks, conventional artificial neural networks are often structured hierarchically, which ...
    • Consensus algorithm in distributed network 

      Hossain, Rajkin (BRAC University, 2016-04)
      One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and may ...
    • Construct a customer database from PDF bank statements using Python programming and Microsoft SQL 

      Nandi, Bikash Kumar (Brac University, 2021-06)
      This report proposes a model of extracting customers' transactions information from pdf Bank Account Statement and stores result-set into a customer Microsoft SQL (MsSQL) database for further automated analysis. In ...
    • Construction of 3D environment from 2D RGB images and depth information 

      Shakir, Redwanul Islam; Hossain, Sarwar; Khan, Mehrab Mohsin; Mayaz, Md Ishtiaq Enam (Brac University, 2023-05)
      Modern operations have introduced a new class of highly functional applications, redefining what can be built in a given amount of time. 3D modeling is required to resolve several shortcomings in outdated processes and ...
    • Consumer behaviour analysis using EEG signals for Neuromarketing Application 

      Amin, Chowdhury Rabith; Hasin, Mirza Farhan; Leon, Tasin Shafi; Aurko, Abrar Bareque (Brac University, 2019-12)
      Neuromarketing is applying neuropsychology in marketing research which studies consumer sensory-motor such as cognitive and affective response to marketing stimuli with the help of modern technologies. It is one of the ...
    • Content based image search in openstack swift 

      Ali Uday, Mir Rownak; Islam Sakif, Md. Sadiqul (Brac University, 2021-09)
      The OpenStack Object Store, also known as Swift, is a cloud storage software. Swift is optimized for durability, availability; also concurrency across the entire data set. However, Swift does not have a proper technique ...
    • Context aware energy allocation by auction based method in wireless sensor networks 

      Shaheed, Imam Ush; Nodi, Sadia Sabrin (BRAC University, 2016-04)
      Wireless sensor networks refer to hundreds and even thousands of small tiny devices called sensor nodes distributed autonomously to observe physical or environmental parameters like temperature, pressure, vibration and ...
    • Controlling android device with eye tracking 

      Hasan, Sakib; Tamim, Md. Tahsin Alam; Robin, S. M. Tarequl Hasan; Tasnim, Sadia; Mahmud, Shah Tanvir (BRAC University, 2016)
      For people with mobility disabilities, communicating via smartphone is often frustrating, and require constant assistance. Among the diseases, only Parkinsons disease alone a↵ects up to 10 million people worldwide[1]. ...
    • A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium 

      Ahmed, Istiak; Prima, Shanzida Binta Akram; Baptee, Tahsin Anzum; Afroz, Mehrin; Shanto, Ariful Islam (Brac University, 2023-04)
      Nowadays, social networking sites like Facebook and Twitter have become an sig- nificant impact on our lives . We use such sites to remain in touch with one another and as a source of news to stay informed about current ...
    • Conversational AI for companionship 

      Khan, Zakaria; Akash, Salauddin Md; Jamima, Afia Mobassira; Ishan, Isfar Hasan (Brac University, 2022-05)
      The conversational style of a human is estimated by humor, personality, voice tone, etc. These characteristics are necessary for virtual assistants that are artificially intelligent for conversation. This research ...
    • Conversion of Bengali speech to text using long short-term memory(LSTM) 

      Chowdhury, Mohammad Fahim; Sultana, Zakia; Jahan, Nusrat; Alavi, Safkat Hasin (Brac University, 2021-01)
      Speech to text conversion is a remarkable topic in the field of Artificial Intelligence which is undoubtedly a significant medium of expressing human feelings and thoughts. However, if we compare it with text to speech, ...
    • A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification 

      Kabir, Solaiman; Sakib, Sadman; Hossain, Md. Akib; Islam, Safi (Brac University, 2020-04)
      In today's world, technological advancements have entangled our nancial, social and many more other aspects of lives to the internet or some network. Moreover, with the development of IoT technologies, it has spread ...
    • Cooperative game theory based load balancing in long term evolution network 

      Intesar, Sadia; Saha, Subarno (BRAC University, 2015-12)
      Long term evolution (LTE) network, incompatible with 2G and 3G networks is the most promising technology for wireless communication with higher speed and capacity. Selforganized load balancing is an important research ...
    • Corn leaf disease detection using deep convolution neural network 

      Rabbi, Rawhatur; Arefin, Mohammad Yasin; Turna, Iffat Fahmida; Zannat, Zahra (Brac University, 2023-01)
      Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early disease identification reduces crop loss. Manual leaf diagnostic imaging takes time and is prone to mistakes. This thesis proposes a ...
    • Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19 

      Tabassum, Tahia; Rahman, Saiham; Mahmood, Moosfiqur Hassan; Siam, Md. Fahim; Mumu, Sadia Anika (Brac University, 2021-01)
      Nationwide lockdowns implemented in consequence of the devastating COVID-19 pandemic, caused noticeable improvements in air quality throughout the world. This paper implements a multivariate long-short term memory network ...
    • Cosmic super string detection using dilated convolutional neural network with focal loss 

      Ishrak, Mohammed Hasin (BRAC University, 2018)
      Cosmic string are objects of great importance and investigation for cosmic string has been done from last 20 years. There are a lot of models to detect cosmic string.But a very few are to detect the location of cosmic ...
    • A counseling system to predict the study path for freshmen 

      Usha, Rowshni Tasneem; Parvez, Shiny Raisa; Sejuti, Fariha Sazid; Hossain, Maisha (BRAC University, 2019-04)
      Now a days, dilemma related to one's career has been considered as a serious issue, specially among fresh graduates. Starting at the age of 18, the students usually fail to grasp the idea of which career path to pursue ...
    • Covert data transmission using secret-sharing and network steganography 

      Islam, Mohammad Ariful; Simran, Shahrin Shafiq; Aseef, Mahir; Rahman, Labiba (Brac University, 2024-01)
      The present has made us more dependent on technology than ever before. As technology develops and new fields emerge, it has become more complicated to maintain a safe, secure, and covert environment for transmitting ...
    • Covid-19 infected lung detection using machine learning 

      Islam, Md. Muntaha; Afiat, Mashfurah; Biswas, Adrita; Syffullah, Md Khalid; Rishan, Asadur Rahman (Brac University, 2021-01)
      In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ...