DSpace Repository

Browsing by Subject "Algorithms"

Browsing by Subject "Algorithms"

Sort by: Order: Results:

  • Early-Stage Diabetes Risk Prediction Using Supervised Machine Learning Algorithms 
    Islam, Taminul; Sadik, Md Rezwane; Islam, Md. Fajle Rabbi; Mona, Tanzina Rahman; Rahman, Tanjila; Foysal, Md. Musfiqur Rahman (Institute of Electrical and Electronics Engineers Inc., 2023-01-04)
    Diabetes is a common health problem worldwide; it is especially pervasive in Bangladesh. The condition manifests in a person when his blood sugar is consistently high. It also contributes to other health problems like ...
  • Effect of Financial Determinants on Return of Assets (ROA) in Islamic Bank of Bangladesh 
    Mondal, Hriday (Daffodil International University, 23-06-18)
    ROA is an important metric for evaluating the financial performance and indicates the profitability and efficiency of an Islamic bank in utilizing its assets to generate profit. This study empirically examines the Effect ...
  • An Effective Approach for Phishing Detection Using Machine Learning Algorithm 
    Roy, Uzzal; Sumi, Samia Islam (Daffodil International University, 23-01-29)
    The trend of tricking web users has kept pace with the expanding utilization of online surfing. The rise of phishing attacks postures a noteworthy risk to individuals and organizations everywhere. Phishing is constantly ...
  • Effective Heart Disease Prediction Using Machine Learning with Five Classifiers 
    Khan, MD. Tamim; Rafi, Raisul Islam (Daffodil International University, 23-02-18)
    Heart disease is among the most difficult diseases, and it affects a lot of individuals all over the world. Early and accurate heart illness identification is vital in the world of medicine, particularly in the field of ...
  • The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction 
    Absar, Nurul; Das, Emon Kumar; Shoma, Shamsun Nahar; Khandaker, Mayeen Uddin; Miraz, Mahadi Hasan (Daffodil International University, 2022-06-20)
    The disease may be an explicit status that negatively affects human health. Cardiopathy is one of the common deadly diseases that is attributed to unhealthy human habits compared to alternative diseases. With the help of ...
  • An Efficient Early Prediction of Hypothyroid Disease with Ensemble Machine Learning Technique 
    Nandi, Kartick (Daffodil International University, 23-02-12)
    Physical illnesses, such as hypothyroidism, have recently become more prevalent. The topic is well-known in today's society. Hypothyroidism is a problem for the majority of people. The differences between the ratios of the ...
  • Enhancing random forest model for cancer detection: a multi objective hyper parameter tuning strategy 
    Islam, Md Saykot (Daffodil International University, 2024-01-01)
    Early and accurate cancer detection is crucial for improving patient outcomes from this lethal disease, but traditional methods often lack sensitivity or specificity. Machine learning algorithms, particularly Random ...
  • Enhancing Sentiment Analysis of Twitter Data 
    Begum, Afsana (Daffodil International University, 2023-09-12)
    Because so much work is being put into data mining and information closure, sentiment is a typical technique for people to communicate the current trends in internet-based lives. Using sentiment analysis, a number of ...
  • Entrepreneurs' Prediction Using Machine Learning Algorithms 
    Uz Zaman, Farid (Daffodil International University, 23-01-18)
    From the beginning of the world, entrepreneurs are deeply involved in every sector of our life. The important component is that entrepreneurs are the primary riding pressure of the worldwide economy. This research focuses ...
  • Evaluating Machine Learning Algorithms for Heart Disease Prediction 
    Islam, MD. Sofiqul; Shiblee, Shah Moazzam Hossen (Daffodil International University, 23-02-18)
    One of the significant motives of death globally is a heart-attack. Heart-attack detection early on can save lives. In this exploration, we mention a predictive machine learning algorithm of heart attack. The algorithm ...
  • Evaluation of Financial Performance of Agrani Bank Limited 
    Niloy, Nurul Hasnat (Daffodil International University, 23-07-08)
    The financial system's cornerstone, the banking sector, is frequently referred to as being crucial to attaining economic expansion and growth. For trade and commerce to flourish, for jobs to be created, and for the industrial ...
  • “An Evaluation of Recruitment and Selection Process of Bank Asia Limited” 
    Haque, Shakibul (Daffodil International University, 2023-09-12)
    In today’s world only academic does not make a student perfect to become competitive with the corporate & global business world. By doing an internship program, a student can get opportunity to learn facing about real ...
  • Evolution and Revolution of Artificial Intelligence in Education 
    Brinto, Arijit Mondol; Roy, Sajib Sovon; Nishat, obael Ahmed (Daffodil International University, 23-01-29)
    Artificial Intelligence is now present in practically every aspect of our life. Artificial intelligence is a burgeoning technology that has the potential to revolutionize every aspect of our social interactions. In the ...
  • Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method 
    Tasnim, Nusrat; Mamun, Shamim Al; Islam, Mohammad Shahidul; Kaiser, M. Shamim; Mahmud, Mufti (MDPI Publications, 2023-05-17)
    A mortality prediction model can be a great tool to assist physicians in decision making in the intensive care unit (ICU) in order to ensure optimal allocation of ICU resources according to the patient’s health conditions. ...
  • An Explorative Analysis on the Machine-Vision-Based Disease Recognition of Three Available Fruits of Bangladesh 
    Habib, Md. Tarek; Mia, Md. Jueal; Uddin, Mohammad Shorif; Ahmed, Farruk (Daffodil International University, 2021-09-18)
    Bangladesh, being a densely populated country, hinges on agriculture for the security of finance and food to a large extent. Hence, both the fruits’ quantity and quality turn out to be very important, which can be degraded ...
  • Extending the Theory of Planned Behavior 
    Rahman, Fouzia; Mahmud, Imran; Jiang, Bingqing; Sarke, Kaushik (International Journal of Instruction, 2022-01-15)
    Language has always been considered the most effective medium of communication among humans to express their thoughts, opinions, and emotions. As a consequence of globalization, a lot of people end up living, studying, ...
  • Face Emotion Detection Comparative Study Using Deep Learning 
    Ferdous, MD. Zannatul; Nishat, Mst. Umme; Hride, Raddia Akter (Daffodil International University, 23-01-29)
    People usually express their feelings and communicate with each other through facial emotion. Through face emotion detection we can easily understand the language of a person’s mind. Generally, face emotion detection is ...
  • Factors Affecting Admission Into Post graduation Programs Among Bangladeshi Graduates 
    Shahriar, S M (Daffodil International University, 23-01-18)
    This thesis titled “Factors Affecting Admission into Postgraduation Programs Among Bangladeshi Graduates” is used machine learning algorithms to determine whether students are interested or not the admit or completing the ...
  • Fitting Multi-Layer Feed Forward Neural Network and Autoregressive Integrated Moving Average for Dhaka Stock Exchange Price Predicting 
    Rubi, Maksuda Akter; Chowdhury, Shanjida; Rahman, Abdul Aziz Abdul; Meero, Abdelrhman; Zayed, Nurul Mohammad; Islam, K. M. Anwarul (Scopus, 22-08-14)
    The stock market plays a vital role in the economic development of any country. Stock market performance can be measured by the market capitalization ratio as well as many other factors. The primary purpose ...
  • Five-Year Life Expectancy Prediction of Prostate Cancer Patients Using Machine Learning Algorithms 
    Polash, Md Shohidul Islam; Hossen, Shazzad; Haque, Aminul (Springer Nature Limited, 2022-03-08)
    Prostate cancer is the most frequent malignancy and the leading cause of cancer-related mortality globally. A precise survival estimate is required for the effectiveness of treatment to minimize mortality rate. A remedial ...

Search DSpace

Browse

My Account