Browsing by Subject "MLP"

Now showing items 1-9 of 9

    • Amazon product reviews sentiment analysis using supervised learning algorithms 

      Hawladar, Mohibullah; Ghosh, Arjan; Raad, Zaoyad Khan; Chowdhury, Wali Ahad; Shehan, Md Sazzad Hossain (Brac University, 2021)
      E-commerce is gaining traction in today’s digitalized environment by taking products closer to customers without forcing them to leave their homes. A customer must study hundreds of reviews before making a purchase. The ...

    • Analyzing the security of e-Health data based on a hybrid federated learning model 

      Shafin, Md. Mehtabul Islam; Akhter, Sabrin; Hasan, Mohammad Shafkat; Nasimuzzaman, Md.; Prithul, Tamzeedur Rahman (Brac University, 2023-01)
      This research aims to provide an approach for analyzing the security of the e-health care system through the use of federated learning and the pre-processing of distinct deep learning models. The infrastructure for ...

    • Automated online exam proctoring system using computer vision and hybrid ML classi er 

      Hossain, Zarin Tahia; Roy, Protyasha; Nasir, Rina; Nawsheen, Sumaiya (Brac University, 2021-10)
      The term online proctoring comes hand in hand with online education. There are not many exceptions between traditional education and the online education system except for the fact that online education, as well as online ...

    • Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm 

      Niloy, Maharshi; Moni, Md. Moynul Asik; Khan, Farah Jasmin; Chowdhury, Aquibul Haq; Juboraj, Md. Fahmid-Ul-Alam (Brac University, 2022-09-28)
      Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ...

    • A comparative analysis of emotion recognition using EEG signals with a channel selection technique 

      Riduan, Jonayed Ahmed; Mahjabin, Most.; Mim, Nadia Tasnim; Islam, Ridwane-ul; Rana, Md. Shahriar Rahman (Brac University, 2021-01)
      Emotion can be defined as the neurophysiological changes people experience due to significant internal or external occasions. This is a mental condition that can a↵ect a person’s behavior, mood, way of life, and relationship ...

    • Identification of childhood leukemia using deep learning 

      Tultul, Farana Naz (BRAC University, 2017)
      Although cancer in children is rare, it is the leading cause of death past infancy amongst children. According to Afshar, Abdolrahmani, Tanha, Seif, Taheri(2010), Leukemia or blood cancer is one of the most common cancers ...

    • Predicting brain age from EEG signals using machine learning and neural network 

      Pratanu, Abul Mushfique Muslah; Farhad, Fuad Ibne Jashim; Afnan, Aysha; Mim, Nusrat Jahan; Rahman, Farhin (Brac University, 2022-05)
      The objective of this study was to develop a technique for calculating the ages of people’s brains by analyzing EEG data signals and using machine learning algorithms on a Raspberry Pi. We employed many machine learning ...

    • Predicting regional accents of Bengali language using deep learning 

      Ibrahim, Md. Abu; Nayeem, Md. Nawaz-S-Salekeen; Al Arabi, Sadaf (Brac University, 2021-09)
      Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ...

    • Social media trend analysis to predict the success of products using deep learning technique 

      Khan, Farden Ehsan; Ruhan, Ahmed Mahir; Shamsuddin, Rifat (Brac University, 2022-09-29)
      In recent times, social media usage has reached such heights that it has become a powerhouse in producing trends, bringing such topics that would have remained outside of popular consciousness. Our goal is to analyze how ...