Now showing items 1178-1197 of 1349

    • Short term load forecasting based on Internet of Things (IoT) 

      Uz Zaman, Mahdi; Islam, Anisul; Sultana, Nahid (BRAC University, 2018-04)
      In the era of internet every device is getting connected to the internet. In this paper, we have assumed that IoT devices can share their power consumption history. Based on data points collected from real world environment ...
    • Sign language conversion and training by machine learning with an IOT approach 

      Nazib, Rezoan Ahmed; Ahmed, Tanvir; Siddique, Niloy; Tusher, Jahid Hasan (BRAC Univeristy, 8/21/2017)
      For the people, who are living without sound due to disabilities, sign language can be a handy tool to make their life easy and comfortable. Sign language is actually a medium of communication for the people who are either ...
    • Silent voice: harnessing deep learning for lip-reading in Bangla 

      Shaheen, Munia; Ifti, Akib Zabed; Hassan, Ariful; Hossain, Junaed (Brac University, 2024-01)
      Understanding speech just through lip movement is known as lipreading. It is a crucial component of interpersonal interactions. The majority of the previous initiatives attempted to address the English lipreading issue. ...
    • Similarity search for Bangla 

      Morshed, Mahbub; Shahed, Md. Shahid (BRAC University, 2011-04)
      Due to typos and misspelling search engines cannot provide users with proper information. Large search engines like Google provides suggestion tab "did you mean". But such options are not included in most of the open ...
    • Simulating the transformation of plane triangulation using edge flip algorithms 

      Anushka, A fia Hossain; Hossain, Md. Arman; Kibria, Mukit (Brac University, 2021)
      In Computational Geometry edge flipping of triangulation is a well-studied topic . Also in computer graphics, triangulations are used to form any kind of shape of an object. Although many algorithms have been introduced ...
    • Skin cancer detection and classification using multiple optimized deep convolutional neural network 

      Sakir, Adnan; Chowdhury, Mustakim Anwar; Rahman, Maksura; Mostafiz, K. M Shefat (Brac University, 2022-05)
      This work tries to detect skin cancer and classify its type using datasets containing labeled images and classes, using pre-trained CNN models and merged pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
    • Skin disease detection and classification using deep learning 

      Shuvon, Mehedi Hasan; Sadia, Rowshanara; Shormi, Shanjida Habib; Arafin, Umma Tania; Chowdhury, Md. Rawha Mikdad (Brac University, 2022-01)
      Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...
    • 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 ...
    • 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 ...