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Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

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  • Bitcoin Trading Indicator: A Machine Learning Driven Real Time Bitcoin Trading Indicator for the Crypto Market 
    Rahaman, Ashikur; Bitto, Abu Kowshir; Biplob, Khalid Been Md. Badruzzaman; Bijoy, Md. Hasan Imam; Jahan, Nusrat; Mahmud, Imran (Institute of Advanced Engineering and Science (IAES), 2023-06-18)
    As opposed to other fiat currencies, bitcoin has no relationship with banks. Its price fluctuation is largely influenced by fresh blocks, news, mining information, support or resistance levels, and public opinion. Therefore, ...
  • Blended Learning Pedagogy and Its Implementation in the Tertiary Education: Bangladesh Perspectives 
    Mitra, Shrabonti; Malek, Md. Abdul; Sultana, Tanzin; Pathak, Abhijit; Abedin, Md. Jainal; Kobra, Khadizatul; Ullah, Md. Habib; Khandake, Mayeen Uddin (Frontier Scientific Publishing, 2023-08-15)
    This paper reviews the theoretical foundations and components of blended learning (BL) in higher education globally, analyzing six articles from five countries published between January 2016 and December 2020. The study ...
  • Breast Cancer Detection using Machine Learning Approach 
    Sattar, Abdus (Daffodil International University, 2023-04-05)
    We have gathered the features of breast cancer and normal persons’ cells both. To classify malignant and benign tumors, we used a supervised machine learning classifier algorithm. This paper shows the last update in this ...
  • Cancer Classification Utilizing Voting Classifier With Ensemble Feature Selection Method and Transcriptomic Data 
    Khatun, Rabea; Akter, Maksuda; Islam, Md. Manowarul; Uddin, Md. Ashraf; Talukder, Md. Alamin; Kamruzzaman, Joarder; Azad, AKM; Paul, Bikash Kumar; Almoyad, Muhammad Ali Abdulllah; Aryal, Sunil; Moni, Mohammad Ali (MDPI Publications, 2023-09-14)
    Biomarker-based cancer identification and classification tools are widely used in bioinformatics and machine learning fields. However, the high dimensionality of microarray gene expression data poses a challenge for ...
  • Cardiovascular Disease Prediction Using Machine Learning Approaches 
    Islam, Taminul; Vuyia, Adifa; Hasan, Mahadi; Rana, Md Masum (IEEE, 2023-07-22)
    As of the release of COVID-19, cardiovascular disease has surpassed all other causes of mortality among both sexes. In most cases, this condition is associated with atherosclerosis and the formation of blood clots. Heart ...
  • Child and Maternal Mortality Risk Factor Analysis Using Machine Learning Approaches 
    Sheakh, Md. Alif; Tahosin, Mst. Sazia; Hasan, Md Maruf; Islam, Taminul (IEEE, 2023-05-26)
    Global attention is now being paid to maternal and child mortality. The incidence of maternal mortality is high in low and middle-income countries, particularly among adolescents and young adults. Healthcare professionals ...
  • Classification of EEG-Based Auditory Evoked Potentials Using Entropy-Based Features and Machine Learning Techniques 
    Islam, Thamina; Ahmed, Firoz; Ahmed, Nayem; Naziullah, Shekh; Islam, Md Nahidul; Rashid, Mamunur (IEEE, 2023-11-06)
    Hearing loss is a prevalent impairment that disrupts interactions with others and individuals' learning abilities. Immediate and accurate diagnosis of hearing loss using Electroencephalogram (EEG) signals, particularly ...
  • Classification on BDHS Data Analysis Hybrid Approach for Predicting Pregnancy Termination 
    Ahmed, Faisal; Shams, Md. Montasir Bin; Shill, Pintu Chandra; Rahman, Majidur (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04)
    Pregnancy termination is a trivial anomaly for third world countries like Bangladesh. The greater aspiration of this research is to downturn the rate of pregnancy termination. This research finds out the attributes that ...
  • A CNN-Based Novel Approach for the Detection of Compound Bangla Handwritten Characters 
    Ahmed, Sheikh Shamshad; Mim, Afrin Akter; Saha, Dipto; Nahar, Kamrun; Nahid, Md. Aynul Hasan (IEEE, 2023-05-26)
    The identification of handwritten characters has been a major focus of research, owing to the ease of use and improved language comprehension provided by technological advancements. In this study, we present a model for ...
  • CogniDriveML: Detecting Drowsiness through Machine Learning with EEG Signals 
    Rahman H.; Faroque O.; Islam M.; S, Rana; Mulla, A.A. (Institute of Electrical and Electronics Engineers Inc., 2023-12-15)
    This research focuses on utilizing EEG brainwave data for the crucial task of detecting driver drowsiness a significant concern for road safety. We carefully curated the "Sleepy Driver EEG Brainwave Data"set, excluding ...
  • Common Human Diseases Prediction Using Machine Learning Based on Survey Data 
    Nahian, Jabir Al; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Mia, Md. Jueal (Scopus, 22-12-01)
    In this era, the moment has arrived to move away from disease as the primary emphasis of medical treatment. Although impressive, the multiple techniques that have been developed to detect the diseases. ...
  • A Comparative Analysis of Food Habit and Nutrition on Food in Bangladesh Using Machine Learning 
    Ahmed, Md. Tofael; Ferdaous, Jannatul; Kamruzzaman, Md.; Khatun, Mst. Eshita (Daffodil International University, 2022-04-18)
    Day by day, humans change their way of life. Eating habits are one of them. This research mainly focuses on the eating food habits and nutritional status of the people in Bangladesh. For a healthy and beautiful nation, ...
  • A Comparative Analysis of SMS Spam Detection employing Machine Learning Methods 
    Aliza, Humaira Yasmin; Nagary, Kazi Aahala; Ahmed, Eshtiak; Puspita, Kazi Mumtahina; Rimi, Khadiza Akter; Khater, Ankit; Faisal, Fahad (Daffodil International University, 2022-04-13)
    In recent times, the increment of mobile phone usage has resulted in a huge number of spam messages. Spammers continuously apply more and more new tricks that cause managing or preventing spam messages a challenging task. ...
  • Comparative Performance Analysis of Feature Selection for Mortality Prediction in ICU with Explainable Artificial Intelligence 
    Tasnim, Nusrat; Al Mamun, Shamim (IEEE, 2023-04-19)
    The mortality prediction model in the Intensive Care Unit (ICU) can be a great tool for assisting physicians in decision-making for the optimal allocation of ICU according to the patient's health conditions. Traditional ...
  • A Comparative Study of Machine Learning Algorithms to Detect Cardiovascular Disease with Feature Selection Method 
    Ali, Md. Jubier; Das, Badhan Chandra; Saha, Suman; Biswas, Al Amin; Chakraborty, Partha (2022-08-22)
    Heart disease is considered one of the calamitous diseases which eventually leads to the death of a human, if not diagnosed earlier. Manually, detecting heart disease needs doing several tests. By analyzing the result of ...
  • Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Rahman, Md. Atiqur; Rahman, Md. Mahbobur; Emon, Minhaz Uddin; Zulfiker, Md. Sabab (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-01)
    There has been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy ...
  • Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy 
    Keya, Maria Sultana; Akter, Himu; Rahman, Md. Atiqur; Rahman, Md. Mahbobur; Emon, Minhaz Uddin (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    There has been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy ...
  • Comparison of Naive Bayes and SVM Algorithm Based on Sentiment Analysis Using Review Dataset 
    Rahat, Abdul Mohaimin; Kahir, Abdul; Masum, Abu Kaisar Mohammad (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    Now a day's sentiment analysis is the most used research topic. The sentiment analysis result is based on different investigation for example politics, terrorism, economy, international affairs, movies, fashion, justice, ...
  • Comparison Study 
    Arif, Md. Ariful Islam; Sany, Saiful Islam; Nahin, Faiza Islam; Rabby, AKM Shahariar Azad (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    The key to success in today's business is controlling the retails supply chain. Predicting customer demand is very essential for supply chain management. The perfect prediction has an effective impact on earning a profit., ...
  • Computational Intelligence Approaches for Prediction of Chronic Kidney Disease 
    Ahmed, Md. Razu; Ali, Md. Asraf; Ahmed, Nasim; Bhuiyan, Touhid (Springer, 2022-01-01)
    Over the past few decades, it has been observed that there is a growing interest in the area of intelligence systems, such as Machine Learning. Machine learning has been extensively used in order to support medical specialists ...

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