Now showing items 959-978 of 1463

    • Multi-modal emotion recognition for determining employee satisfaction 

      Hussain, Saadat; Zaman, Farhan Uz; Zaman, Maisha Tasnia; Kabir, Nahian (Brac University, 2020-04)
      Emotion Detection has been very popular in the field of research for a couple of years. In the past, emotion recognition has been studied and applied in order to detect the overall emotional state of a person using ...
    • Multi-modal hate speech detection using machine learning 

      Shill, Ponkoj Chandra; Boishakhi, Fariha Tahosin (Brac University, 2021-01)
      Hate speech is a common problem that people face in any content based applications. With continuous growth of internet users and media contents, it is very hard to track down hateful speech in audio and video. Converting ...
    • Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach 

      Esha, Ishraq Ahmed; Rahman, Shahrin; Chowdhury, Sayem Kader; Mim, Jannatul Ferdous (Brac University, 2023-05)
      In recent times, AI based emotion recognition also known as affective-computing which is a burgeoning branch of artificial intelligence to some extent also helping the computers to become more intelligent by scrutinizing ...
    • Multimedia issues over bluetooth (video streaming) 

      Haque, Md. Nazmul; Hasan, Md. Mehedi (BRAC University, 2014-09)
      In this new era wireless ad hoc networks have become a growing area of research. The arrival of Bluetooth wireless technology makes it possible to transmit real-time video/audio in mobile and permeate environments. Multimedia ...
    • A multimodal approach of sentiment analysis to predict customer emotions towards a product 

      Islam, Shadman; Rahman, Moshiur; Ali, Samina Tuz Zohura; Shahrior, Tawhid (Brac University, 2019-12)
      Begun roughly a decade ago, Sentiment analysis, the science of understanding human emotions, can trace its roots back to the middle of the 19th century. The motive of sentiment analysis is to extract and predict human ...
    • Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras 

      Rukaiya, Maymuna; Khan Soumik, Md. Muhtadee Faiaz; Sakib, Sazzad Hossan; Islam, Md. Ashikul; Ishrak, Mohammad Farhan (Brac University, 2023-01)
      Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high levels of noise and clutter. These conditions can ...
    • Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques 

      Rafidul Islam, Sheikh Md; Gomes, Maria; Hossain, Mehran; Raihana, Ramisha (Brac University, 2022-05)
      Emotion recognition and sentiment analysis serves many purposes from analyzing human behavior under specific conditions to enhancement of customer experience for various services. In this paper, a multimodal approach is ...
    • Multimodal fake news detection using text and image 

      Biswas, Trisha; Lamia, Tasmim Afroj; Shykat, Tarikul Islam; Rafi, Md. Arifin Ahmed (Brac University, 2023-05)
      Development in information and technology has made the communication easier in the recent decades. Easy access of social media is creating restraints amid of differentiating fake and real news. In the recent period the ...
    • Multimodal human detection in disaster situations using deep learning & artificial intelligence 

      Rafat, Md. Tasbi; Hridy, Fahmida Ahmed; Zaman, Rafid Ibna; Santo, Hasibul Hassan; Siddique, Ibrahim (Brac University, 2022-09)
      Mankind has faced natural calamities for survival since the very beginning of human civilization. Even after 65 million years, mankind is still figuring out ways to face natural calamities and survive its post-consequences ...
    • Multiplayer online war simulator based on unity3D and openGL 

      Azmi, Shameer; Bakhtiar, Fahim; Hossain, Afsana (BRAC University, 2016-04)
      The advent of technology has brought up the need of simulators in various fields especially in combat training programs. Our project will enable to create an environment to interact in such programs. We aim to develop a ...
    • Music genre classification with convolutional neural network 

      Chowdhury, Masud; Tilok, Ibnul Islam; Das, Prodipta; Chowdhury, Avoy; Anas, MD. Abdullah Al Masum (Brac University, 2022-01)
      Today, Music is one of the effective forms of entertainment. Everyday new Music is being composed, and the quantity of Music is increasing day by day. So, it is essential to classify or categorize Music into different ...
    • My doctor: dynamic scheduling and communication 

      Sirajee, Ashraf Hasan; Utsash, Masrur Masqub; Debi, Satabdi Rani (BRAC University, 2016)
      Our proposition is to make an online system which will appoint a doctor to a patient dynamically and patients can speak with specialists over on the web. In today’s world on the off chance that somebody needs to take an ...
    • My doctor: security, payment reporting and online pharmacy 

      Hasan, Sayeed; Biswas, Shuvodeep; Siddiq, Md. Abu Bakkar (BRAC University, 12/14/2016)
      Our thesis is to create a system which is an online based medical system with extra facilities like report uploading, follow up at the same doctor, online pharmacy. In today’s world if someone wants to take an appointment ...
    • Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet 

      Promita, Samanta Tabassum; Biswas, Simon Abhijet; Mozumder, Nisat Islam; Taharat, Mamur (Brac University, 2022-01)
      Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ...
    • N.P.K. based crop suggesting model 

      Iftekher, Asif; Ghosh, Tomalika (Brac University, 2019-12)
      Bangladesh is a country having an area of 1, 47,570 square kilometers in which roughly 70.63 percent is agricultural lands [1]. As an agricultural country we are mostly dependent on soil. There are 3 most important ...
    • Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection 

      Zafreen, Zasia; Fazal, Mehnaz Ara; Maisha, Umaiya Ahmed; Salem, Mohammed Sadeq; Sajin, Mehrab Hossain (Brac University, 2024-01)
      In this 21st century, maritime routes are crucial for geographical and financial reasons in riverine countries which include passenger traveling, cargo vessels, fishing, etc., and play an equally imperative role in the ...
    • Navigational system analysis using image processing for visually impaired 

      Chakravorty, Naireet; Afroz, Nazia; Gupta, Dipayan Sen (BRAC University, 2016-03)
      Blindness is a severe disease that limits a person’s ability to navigate their surroundings properly. Usually using a crane has been the only solution for blind people so far, which is a solution not suitable to detect ...
    • An NDN based indoor positioning and navigation system 

      Taki, Sifat Ut; Hossain, Raiyan; Anwar, Sadia (Brac University, 2019-12)
      Providing navigation services indoor is becoming a growing trend in recent years. Traditional GPS is not a viable solution for indoor use as it demands more accuracy and may be out of reach of GPS signals. Indoor positioning ...
    • Network based location tracking using MAC address of smart devices 

      Chowdhury, Md. Abu Hena; Chowdhury, Rakib Hasan; Hossain, Shoaib; Sakib, Sadman Md (BRAC University, 2017-12)
      Most of the devices we use today from a day to day basis are considered smart. What do they mean by smart? What they mean is that they possess the ability to share and hold information amongst each other. Since the ...
    • Network design and performance analysis of geographical routing protocol in mobile Ad-Hoc networks 

      Alam, Abu Hasnat Md. Riadul; Khan, Md. Atiqur Rahaman; Uddin, Jia (© 2013 IEEE, 2013)
      In this research we have explored the consequences of increase in number of nodes on the overall performance of Geographical Routing Protocol (GRP) which is at present covering an enormous demand in the field of Mobile ...