Now showing items 1013-1032 of 1350

    • Pneumonia Disease detection using the convolutional neural network 

      Ashrafee, Md. Iftid; Sourav, Koushik Barmon; Dolna, Mahazabin Khan; Haque, Samia (Brac University, 2023-01)
      A bacterial illness called pneumonia causes inflammation in the air passages with one or even both lungs. The disease can range from mild to life-threatening. Diagnosing the disease at an earlier stage is crucial for the ...
    • Point of care detection of anemia in non-invasive manner by using image processing and convolutional neural network with mobile devices 

      Rahman, Md. Nafis Nakib; Sadik, Saif Abdullah; Biswas, Anindya; Tazul, Ratul Bin (Brac University, 2020-04)
      A medical procedure is described as non-invasive if there is no necessity for incision into the skin. Invasive methods can often be risky because there is a high chance of infection. That is why the medical sector ...
    • Polycystic ovary syndrome detection using neural network. 

      Istiyaq, Tahsin; Jahan, Nusrat; Diptho, Rakib Ahmmed; Anika, Fairuz; Sadakin, Sifat-E (Brac University, 2023-01)
      A fairly frequent endocrine abnormality among women of reproductive age is polycystic ovary syndrome (PCOS). In this disease, the ovaries produce abnormally high levels of androgens, which are male sex hormones that are ...
    • Porting open source E-learning software to mobile platform 

      Tanveer, Jameal; Sultan, Md. Al-Mubin (BRAC University, 2010-08)
      jMemorize is an open source learning software. It is very powerful, well designed and user-friendly software, which is widely used all over the world. jMemorize is written in java and uses Leitner flashcards to make ...
    • Predicting a T20 cricket match result while the match is in progress 

      Munir, Fahad; Hasan, Md. Kamrul; Ahmed, Sakib; Md. Quraish, Sultan (BRAC University, 8/23/2015)
      Data Mining and Machine learning in Sports Analytics, is a brand new research field in Computer Science with a lot of challenge. In this research the goal is to design a result prediction system for a T20 cricket match ...
    • Predicting Amino acid interaction network using artificial Bee colony 

      Enan, Mirja Shahriar; Abdullah Al Noman (BRAC University, 2015)
      Proteins are biological macromolecules participating in the large majority of processes which govern organisms. Amino Acids are the building block of protein and its primary structure is a linear chain of amino acids, ...
    • 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 climate induced floods using machine learning 

      Saleh, Chowdhury Nafis; Alam, Farhan; Khan, Md. Jawad (Brac University, 2022-01)
      Climate change has been causing devastation on the economy of the country and the world as a whole. The study aims to determine how climate change would impact the frequency and severity of one of the major natural ...
    • Predicting COVID-19 disease outcome and post-recovery conditions using machine learning 

      Sajid, Abul Kasem; Kabir, Fahim; Rahman, Hasibur; Kundu, Indronil; Zaman, Sheersho (Brac University, 2021-06)
      With COVID-19 still running rampant across the world, accurate diagnosis of pa tients and proper management of medical resources is paramount in order to deliver proper care to those that need it most. In order to do this, ...
    • Predicting criminal activities analyzing video signal using machine learning 

      Sadman, Syed Md.; Kabir, Tabassum; Mostafa, Nairita; Chowdhury, Ahmed Ashik (Brac University, 2020-04)
      Criminology is a method that is used to perceive wrongdoing and criminal qualities. The crooks and the wrongdoing occasion likelihood can be overviewed with the help of criminology frameworks. Video analysis and machine ...
    • Predicting depression in Bangladeshi undergraduates using machine learning 

      Choudhury, Ahnaf Atef; Khan, Md Rezwan Hassan; Nahim, Nabuat Zaman; Tulon, Sadid Rafsun (BRAC University, 2018-12)
      Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
    • Predicting depression in Bangladeshi undergraduates using machine learning 

      Choudhury, Ahnaf Atef; Khan, Md Rezwan Hassan; Nahim, Nabuat Zaman; Tulon, Sadid Rafsun (BRAC University, 2018-12)
      Depression is a major disorder and a growing problem that impacts a person’s way of living, disrupting natural functioning and impeding thought processes while they might remain oblivious to the fact that they are suffering ...
    • Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning 

      Arafat, Sheikh Mohammad; Islam, Rifatul; Rafi, Ishraque Arefin; Islam, Md. Rashedul (Brac University, 2020-04)
      In this modern age, marketing strategy is becoming a new challenge. Not only the global market but also people’s choices are shifting to catch the attention of buyers. Also, based on consumer’s choice organizations are ...
    • Predicting election popularity of a person using crowd sensing in social networks 

      Nadi, Mashroora; Ahmad, Syed Washfi; Rahman, S.M.Saquib (BRAC University, 2015)
      Predicting election popularity from social network data is an appealing research topic. This covers all aspects from data collection to data representation through data processing. Although social media may provide a glimpse ...
    • Predicting epileptic seizure from Electroencephalography (EEG) using hilbert huang transformation and neural network 

      Rahman, Md. Oliur; Karim, Md. Naushad (BRAC University, 8/24/2015)
      Epilepsy is the most common chronic disease which involves 1% of the population in the world. It is a neurological disorder characterized by irregular brain tissue activity causing seizure. For many patients mental stress ...
    • Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking 

      Rafi, Abdullah Hasan Sajjad; Das, Arkadeep; Das, Moumita (Brac University, 2024-01)
      As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid- 19 has persisted in human populations for approximately three and a half years rapidly, continually exhibiting swift and unpredictable mutations. ...
    • Predicting obesity: a comparative analysis of machine learning models incorporating different features 

      Rahman, Md.Sakibur; Ahmed, Kaosar; Nafis, Tanvir Alam; Hossain, Md. Ridwan; Majumder, Swapnil (Brac University, 2023-05)
      Obesity, the excessive accumulation of body fat, is a significant health risk associated with various detrimental impacts, including the development of chronic diseases, metabolic abnormalities, joint problems, sleep ...
    • Predicting peak performance of a cricket player using machine learning and data analytics 

      Azam, Akif; Ashraf, Tarif; Asad, Ahmad Al; Anwar, Kazi Nishat; Chowdhury, Ilhum Zia (Brac University, 2022-08-25)
      In the modern era, the game of cricket has evolved into a batting friendly lexicon more than ever. However, bowlers adapting to every suitable condition can also change the dynamics of the game. Prior studies were carried ...
    • 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 ...
    • Predicting stock market movement using sentiment analysis of twitter feed 

      Chakraborty, Pranjal; Rony, Rashad Al Hasan; Pria, Ummay Sani (BRAC University, 4/16/2017)
      Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ...