Browsing by Subject "Prediction"

Now showing items 21-40 of 49

    • Epileptic seizure prediction using bandpass filtering and convolutional neural network 

      Rahman, Tasnia; Mustaqeem, Nabiha; Priyo, Jannatul Ferdous Binta Kalam; Shahariar, Ahnaf; Sharmin, Shaila (Brac University, 2022-01)
      Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ...

    • Fighting depression: psychological approaches among Bangladeshi university students 

      Sen, Sanjib Kumar; Apurba, Md. Shifatul Ahsan (Brac University, 2022-05)
      In recent years, mental health deterioration cases have increased exponentially indicates that this issue needs our attention. Stressful situations of our daily life such as excessive study load, relationship predicaments, ...

    • Forecasting stock market prices using advanced tools of machine learning 

      Anwar, Md. Tawhid; Rahman, Saidur (BRAC University, 2019-04)
      Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ...

    • High frequency rainfall prediction using machine learning approach to numerical weather modelling 

      Borna, Afsana Afrin; Ani, Ashfak Ahmed; Ashhab, Mahir; Saleh, Shahriar (Brac University, 2021-06)
      The weather has an impact on almost every aspect of our daily lives. Life would be much easier if we could control the weather. Until then, we will have to settle for trying to predict weather but weather prediction is ...

    • Human activity recognition and authentication system 

      ALam, Md. Zubaer (Brac University, 2023-05)
      Automated surveillance motion detection and video data analysis are now crucial jobs for many industries. Understanding human behavior from security video data is crucial, especially in places like banks, hospitals, ...

    • Human sentiment analysis using natural language processing 

      Shamya, Md. Shamiul Haque Khan; Fahim, Md. Shariar Hossain; Khan, Niaz Makhdum; Monir, K.M Mahfuzul; Hussain, Mubasshir (Brac University, 2023-05)
      "Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ...

    • An in depth analysis of neural network with application in finance 

      Tasnim, Noshin; Yasmeen, Farhana (BRAC University, 2019-04)
      Arti cial neural network model is inspired from how the nervous system of brain works. If it is designed properly it can process large amount of data or information and can give proper output for di erent application ...

    • Intelligent assisted living in pregnancy 

      Zaman, S. M. Tanveer; Tasneem, Rafia; Shakerin, Tasmia (Brac University, 2022-01)
      Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, ...

    • Lung cancer detection and classification using machine learning 

      Arefin, Mahbubul; Hekim, Md. Lokman; Farjana, Afia; Bala, Nisarga (Brac University, 2023-05)
      Lung cancer is a term known to all nowadays. This disease grows in the lung tissues and starts to spread with time. The cells responsible for air passage are corrupted by it. It can happen because of air pollution. When ...

    • Machine learning for stress prediction 

      Salehin, Sherajus; Mahmood, Syeda Tanjima; Ayon, Muhtasim Fuad; Rahman, Nafiur (Brac University, 2023-01)
      Emotional, psychological, and social well-being are all part of mental health. Stress, social anxiety, depression, and personality disorders are just a few of the elements that build up mental health issues that lead to ...

    • Modelling and forecasting energy demand of Bangladesh using AI based algorithms 

      Mahmud, Booshra Nazifa; Ferdoush, Zannatul; Mim, Lamia Tasnim (Brac University, 2019-04)
      Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ...

    • Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing 

      Tasnim, Sadia; Sarker, Sukarna; Bhoumik, Partha; Al Maruf, K.M. Abdullah; Rahman Hasib, MD Mahfuzur (Brac University, 2023-01)
      Despite various preventative measures and therapies, the COVID-19 pandemic has exposed a number of weaknesses and vulnerabilities in global health systems, particularly in low and middle-income countries that may have ...

    • A novel approach to reduce air pollution through machine learning based PM2.5 prediction 

      Alif, Omar Farhad; Monsaif, Tarik Monwar; Amarth, Swakshar Das; Kabir, Md. Nafiu; Sadman, Tahmid Asif (Brac University, 2022-05-24)
      AI (Artificial Intelligence) is one of the most fascinating subjects for computer scientists in this century. It is a technology that helps a machine to do tasks by itself which needs human intelligence. This technology ...

    • Plant disease detection using convolutional neural network 

      Hossain, Mohammad Shifat; Noor, Fatin Ishraq; Ali, Mir Ayman; Alam, Ra ul (Brac University, 2020-04)
      Rice is a staple crop of Bangladesh and many metric tons of it are being destroyed every year due to diseases. If the diseases can be efficiently and accurately classified ed and recognized at early stage, the farmers ...

    • 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 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 the outcome of purchasing a hotel package to assist policymakers using machine learning 

      Islam, Zahedul; Shetu, Tahsina Alam; Bhattacharjee, Atulan; Mohima, Jannatul Ferdous (Brac University, 2022-05)
      Given the growing and massive shock to the hotel industry, the coronavirus (COVID- 19) outbreak has generated an unexpected problem. The hotel industry is currently facing a big obstacle during the COVID period, where ...

    • Prediction of anxiety and depression among the transgender in Bangladesh 

      Easha, Ishrat Jahan; Faiza, Fairooz Afnad; Sadique, Mohammad Rafiuddin; Tabassum, Fatima; Uddin, Md. Rakib (Brac University, 2022-05)
      Today, mental health is as important as safety. It affects people directly and indirectly. Transgender people with mental health issues are often overlooked and in our nation, especially transgender women, suffer from ...

    • Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network 

      Ismail, Sayem Mohammad; Hossain, Md. Sajjad; Sobhan, Irina (Brac University, 2020-06)
      Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ...

    • Prediction of production rate for cultivable land correlating soil quality parameters and weather condition 

      Hassan, Mehedi; Rahman, S.M. Mushfiqur; Sobhani, Shadman (Brac University, 2023-07)
      In the modern time due to increasing global warming, the change of weather patterns and increase in pollution, the amount of crop production has been adversely affected. While on the other hand farmers trying to prevent ...