Now showing items 1886-1905 of 2154

    • Skin lesion classification using different CNN models 

      Oli, Md. Yahea Sultan (Brac University, 2023-05)
      The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...
    • SLA and cost-aware cloud service provisioning through matching game and TOPSIS model 

      Karim, Rifat Shahriar; Rhythm, Shabab Hossain; Islam, MD.Rakibul; Kawwshik, Kazi Asif Ahmed (Brac University, 2019-12)
      Cloud service delivery is based upon Service Level Agreements (SLA) reflecting a customer and service provider signature agreement setting out the terms of the agreement, Providers must use resources efficiently to ...
    • Smart automated fruit freshness recognition system using image processing and deep learning 

      Shil, Prantha; Rahman, Zisanur; Bin Jalil, Jawad; Bin Sakib, Kazi Rishad; Hossain, Md. Tamim (Brac University, 2022-09)
      Bangladesh is one such country with a tropical monsoon climate typified by significant seasonal rainfall, high temperatures, and high humidity. A wide range of tropical and subtropical fruits are abundant in Bangladesh. ...
    • A smart avatar tutor for mimicking characters of Bangla sign language 

      Islam, Apu; Rahman, Somaya Al Sadia; Bhowmick, Pratick (Brac University, 2024-01)
      This paper presents an efficient novel approach to developing a smart avatar tutor for teaching Bangla Sign Language (BSL). The avatar is designed to mimic the numbers and alphabets used in BSL, providing an interactive ...
    • Smart city security solution 

      Islam, Shihabul; Halim, S M Shafiul; Ador, Sadman Sakib (BRAC University, 2018-04)
      Security issue is one of the very leading concerns for any organization, society or for a city. There are two main challenges for smart cities which are security and privacy. Security includes illegal access of people ...
    • Smart companion agent for mental well-being through Deep Learning and NLP 

      Khan, Rafiur; Sohel, Abdullah Al; Shreyashee, Farhana Azad; Hossain, Shamima; Fiaz, Mahin (Brac University, 2021-01)
      Mental disorders are an unfortunate reality among the general population nowadays. Conditions like anxiety; depression may seem trivial on the surface but have serious consequences on an individual’s life. These disorders ...
    • Smart fare system for CNG 

      Alok, Shuvashish; Haque, Md. Enamul; Junayed, Rashidul Hasan; Tasmin, Rubaiya (BRAC University, 2018-04)
      The fare system of CNGs of our country is very unfair most of the times. Drivers do not follow the proper way and harass the customers. As a solution we came up with an idea which will help the customers to travel as ...
    • Smart security system based on frontal face detection method and android mobile 

      Khan, Mahjabeen (BRAC University, 11/14/2016)
      Security nowadays is a very important issue so Smart Security System based on Frontal Face Detection Method and Android Mobile was conceived with the idea that it will offer protection. This system consists two parts where ...
    • Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults 

      Chisty, Sharfuddin Khan; Abbasi, Khaled Imtiaz; Afsana, Fairana; Shefa, Sanjida Afroz (Brac University, 2024-01)
      Elderly users face physical, behavioral, and cognitive constraints as they age. As a considerable portion of the world’s population comprises elderly people, the graphical user interfaces (GUI) of commercial technology ...
    • Smart surveillance system for identifying bikers without helmets using deep learning 

      Hossain, MD. Iqbal; Muhib, Raghib Barkat (Brac University, 2019-08)
      Modern world is progressing quickly along with technology and one of the major sectors is transportation technology. Day by day the number of people are increasing and the number of vehicles are increasing too. As a ...
    • Smart waste management system using IoT 

      Hasan, B.M Rakib; Yeazdani, A.M.M. Golam; Istiaque, Labib Md; Chowdhury, Rafee Mizan Khan (BRAC University, 8/21/2017)
      With the increasing population and industrialization of nations throughout the globe, waste has become a great concern for all of us. Over years, researchers figured that only waste management is not enough for its proper ...
    • Smart waste management systems for sustainable urban life based on IoT for scalable IoT-based smart city solutions 

      Imon, Imran Hossain; Authro, Arnab Saha; Akter, Joya; Safina, Suzhat; Neha, Namreen Nayeem (Brac University, 2023-01)
      In smart cities, the volume of data collected by IoT-based sensors is rapidly in creasing. These devices are networked and provide information about how humans utilize them together and independently, as well as how they ...
    • Smart worker solution 

      Shuvo, K. M. Asaduzzaman (Brac University, 2023-09)
      I made the website for the people who work daily basis to live, and could not raise their voice for proper right because, we call them labor, in our county they are the lowest living status people. I’ve seen all the time ...
    • Smartchain: a blockchain-based user authentication system for smart homes 

      Islam, Mushaidul; Hossain, Mohammed Sayeem Sadat; Das, Shijon (Brac University, 2022-01)
      Smart houses are more about being environmentally conscious and offering security. Smart home technologies can make homes more energy-efficient and allow users to save money. This concept of making the life of the common ...
    • Smoke detection using deep Convolutional neural network 

      Niloy, Wahidul Hasan; Ornab, Mostafa Kamal; Saha, Saurav (Brac University, 2019-08)
      In a densely populated country like Bangladesh, fire accidents have become a fre- quent disaster that primarily be formed as a consequence of unconsciousness among the people. Therefore, detection of smoke, is a must in ...
    • Smoke detection using image processing 

      Sarker, Md. Kamrujjaman (BRAC Univeristy, 2016-07)
      In this report, we have proposed a smoke detection method from image. The Smoke Detection using Image Processing (SDIP) is based on four steps. First, Smoke image acquisition and pretreatment is performed. Second, ...
    • An SMS and web-based traffic case management system in Bangladesh 

      Mahmud, Imran; Roy, Premankur; Saha, Sangeet (BRAC University, 2006-08)
      The Traffic Police of Bangladesh has no database software where the cases can be stored. For this reason the Traffic Police update all the cases manually. They have a case record book. If any incident occurs and the ...
    • SMS based value added services with the help of GPS 

      Rahman, Shahenoor; Shams, Shaba; Islam, Mohammad Sofiqul (BRAC University, 2006-08)
      In Bangladesh we have five mobile telecommunication companies, among all only two of them have GPRS system and near future they will bring GPS system. This is why we want to develop a system that will work with GPS and ...
    • The SNP CYP2C19*2 (rs4244285) genotyping using tetra primer arms PCR method 

      Rupoma, Afia Adiba (Brac University, 2020-08)
      Drugs are used to treat and cure disease. But the same drug with the same dose might not be useful for other individuals. Through Pharmacogenetics study, how people respond differently to drug therapy based upon their ...
    • Social interest based routing algorithm for pocket switched network 

      Tasfe, Mahrin; Saha, Binita (BRAC University, 8/21/2017)
      Mobile Ad hoc Network (MANET) and Delay-Tolerant Network (DTN) exhibit a lack of fixed infrastructure and possess no a-priori knowledge of arrival and departure of hand-held devices (such as cell phones, tablets, portable ...