Now showing items 1033-1052 of 1335

    • Prediction of earthquakes: a step towards predicting the unpredictable 

      Chowdhury, Maheen; Rahaman, Md Abdur; Islam, Tafhim Sadman; Sultana, Rahanuma; Rahman, Anjolika (Brac University, 2023-01)
      One of the most catastrophic natural disasters is an earthquake, especially because they typically occur without warning. It has catastrophic effects on both the econ- omy of a nation and human life. Our paper is a step ...
    • Prediction of Epileptic Seizure onset based on EEG signals and learning approaches 

      Nazim, Tausif; Abid, MD. Bakhtiar; Mamun, Jahid Hasan (Brac University, 2020-04)
      Epileptic seizures happen due to sudden bursts of electrical activity in the brain. This uncontrolled outburst may produce physical problems, abnormal behavior. Before the beginning of the seizure, a prediction is very ...
    • Prediction of Epileptic Seizures using digital signal processing and support vector machine 

      Siddique, Nusayer Masud; Sayeed, Samee Mohammad; Ahmed, Zaziba; Ahmad, Shaikh Rezwan Rafid (Brac University, 2020-04)
      Epilepsy is a neurological disorder that causes abnormal behavior and recurrent seizures due to unusual brain activity. Our study has attempted to predict seizures in epileptic patients through the process of feature ...
    • Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning 

      Alam, Salman; Oni, Atquiya Labiba; Samir, Jubair; Hossain, Asif Mosharrof (Brac University, 2023-05)
      Sickle Cell Disease is a monogenic genetic disorder which often leads to various repercussions affecting multiple vital organs simultaneously. However, the treat- ment for Sickle Cell is diverse and often varies from ...
    • Prediction of human activity using machine learning 

      Tisha, Sadia Nasrin; Alvee, Benjir Islam (Brac University, 2019-12)
      Involving machine learning in recognizing human activities is a widely discussed topic of this era. It has a noticeable growth of interest for implementing a wide range of applications such as health monitoring, indoor ...
    • 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 ...
    • Prediction of rainfall using data mining techniques 

      Prema, Fahmida Tasnim; Ahmed, Sharmin; Islam, Md. Rifat (BRAC University, 2017)
      The research for this paper concentrates on finding inter-relations between various climatic indices and predict precipitation consequently. And since rainfall is the prominent reason behind flood, our study can aid immensely ...
    • Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms 

      Saquib, Nazmus; Mithun, Kaniz Fatema; Tasnim, Jarin; Sen, Pushpol (Brac University, 2021-06)
      In the highly advanced and competitive business world, today’s marketing strategy has become very difficult. To satisfy the needs and necessities of consumers, advanced marketing research methods are required to recognize ...
    • Prediction of UTR5’, CDS AND UTR3’ Splice sites in an unknown DNA sequence 

      Chaki, Dipankar; Roushan, Tanvir; Chowdhury, Md. Syeed (BRAC UniversityBRAC University, 2014-01)
      The recent flood of data from genome sequences and functional genomics has given rise to a new field, bioinformatics, which combines elements of biology and computer science. In experimental molecular biology, bioinformatics ...
    • Prediction on large scale data using extreme gradient boosting 

      Sawon, Md.Tariq Hasan; Hosen, Md. Shazzed (BRAC University, 2016-08)
      This paper presents a use case of data mining for sales forecasting in retail demand and sales prediction. In particular, the Extreme Gradient Boosting algorithm is used to design a prediction model to accurately estimate ...
    • Predictive analysis on depression among university students in Bangladesh 

      Ahmed, Syed Aref; Mustafa, Khondokar Jamal E; Arif, Ibtesum; Tahmid, MD. Nafis (Brac University, 2024-01)
      The identification of depression is done by medical practitioners based on mental status questionnaires and the patient’s self-reporting. Apart from the methods being highly dependent on the patient’s current mood, people ...
    • Predictive location generation using machine learning approach 

      Hasan, S.A.M Khaled; Nahian, Shariar Al; Islam, Sakibul (BRAC University, 8/21/2017)
      Predicting future locations by analyzing past data is not new. Giants like Google, Yahoo or Amazon all use their own machine learning algorithms to generate it but these companies use the data for business purposes as a ...
    • Predictive maintenance of HVAC system using supervised machine learning algorithms 

      Fahim, Md. Zubayer Ahmed; Roy, Tiash; Rakib, Mma; Sharar, Shihab (Brac University, 2021-09)
      Technological advancements, especially rich data, being incorporated into the development of buildings is simultaneously elevating the importance of fault detection and diagnostics (FDD) of energy-e cient applications ...
    • Preliminary design concept for startups: minimum viable user experience 

      Haque, Tanzimul; Ibrahim, Shauki Ibna; Sumaiya, Maisha; Tithi, Afreen Rahman (Brac University, 2023-05)
      Small startups often develop websites or mobile applications without fully understanding what the users really want. However, obtaining trustworthy early feedback from customers can be challenging because they tend to ...
    • Preserving heritage sites of Dhaka City using 3D modeling and virtual reality technology 

      Islam, Raisa; Ahmed, Salsabil; Himalay, Sadman Shawmik (BRAC University, 2018-07)
      This thesis presents a model that is aimed at preserving heritage sites of Dhaka by implementing 3D modeling and Virtual Reality technologies. The proposed model consists of reconstructed 3D models of historical establishments, ...
    • Preventing national identity forgery in Bangladesh using IGA based security controls 

      Meraj, Afsarul Islam; Samindra, Sadia Ferdous; Chhoan, Tasnim Fuyara; Kashpia, Afsana Sharmily; Ahmed, Tawhid (Brac University, 2022-09-28)
      The rapid diffusion of the internet coupled with the vision of ”Digital Bangladesh” has given rise to e-government services to improve the capability, accountability, and accessibility of different e-government services ...
    • Privacy focused classification of prostate cancer using federated learning 

      Salma, Syeda Umme; Sakib, MD. Sadman; Alvee, Mohammed Moinul Morshed; Yasaar, Nahiyan (Brac University, 2022-01)
      The prostate gland is a small gland located in the lower abdomen of a man. Prostate cancer occurs when a tumor, or abnormal, malignant growth of cells, forms in the prostate. Prostate cancer is a slow-growing cancer that ...
    • Problems analysis of fisheries department and it's solution 

      Hossain, Mobarok (BRAC University, 2005-12)
      Automation of various Govt. Departments is going on. But security, efficiency and sustainability still remain on question. As a part of that I want to do System Analysis and Design on various activities of 4th Fisheries ...
    • Producing self tuned music using machine learning tools 

      Tasneem, Akifa; Reza, Mostofa Saif; Anindya, Navid (BRAC University, 2017)
      Automatic music genre classification is one of the important tasks for the Music Information Retrieval (MIR). With the development of the knowledge on Machine Learning, researchers have implemented different methods to ...
    • Product rating generation based on public opinion using sentiment analysis 

      Rabbi, Reshan Ahmed; Khan, Md. Walid Amin; Shaown, Md.; Alam, Md. Shajidul (BRAC University, 12/24/2017)
      In modern days, people tend to check reviews and opinions on a product before buying. The main goal of our system is according to the public opinion of a product, give a rating to the product on a scale of 0 to 10. Also, ...