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Browsing Articles by Subject "Machine learning"

Browsing Articles by Subject "Machine learning"

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  • Estimation of Drought Trends and Comparison Between SPI and SPEI with Prediction Using Machine Learning Models in Rangpur, Bangladesh 
    Akter, Mst. Labony; Rahman, Md. Naimur; Azim, Syed Anowerul; Rony, Md. Rakib Hasan; Sohel, Md. Salman; Abdo, Hazem Ghassan (Taylor & Francis Group, 2023-09-09)
    This study investigates drought trends, SPI-SPEI comparisons, and predictions in Rangpur, Bangladesh, from 1979 to 2020. We employed Modified Mann-Kendall for trend analysis, SPI and SPEI for drought assessment, and Pearson ...
  • Evaluation of Machine Learning Approaches for Prediction of Dengue Fever 
    Rahman, Tasmiah; Rahman, Md. Mahmudur (Springer, 2022-10-14)
    Dengue is a mosquito-borne, deadly viral disease that is a major threat to public health all over the world. Dengue and covid-19 symptoms are almost same, and sometimes, people are confused about which disease they are ...
  • 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 Exploratory Analysis of Effect of Adversarial Machine Learning Attack on IoT-enabled Industrial Control Systems 
    Trivedi, Sandeep; Tran, Tien Anh; Faruqui, Nuruzzaman; Hassan, Md. Maruf (IEEE, 2023-05-05)
    Machine Learning (ML)-based Intrusion Detection Systems (IDS) is an effective technology to automatically detect cyber attacks in the Internet of Things (IoT) dependent Industrial Control Systems (ICS). It is faster, ...
  • Factor Scoring and Machine Learning Algorithm to Predict Student Counselling 
    Jahan, Nusrat; Islam, Saiful; Sultana, Rezwana (International Journal of Engineering and Advanced Technology, Blue Eyes Intelligence Engineering & Sciences Publication, 2019-10)
    Personal realization is one of the best things for a successful life. Sometimes, one needs help to realize about bad habits, career goals and accomplish mental health as well as to overcome other problems. This help is ...
  • Factor Scoring and Machine Learning Algorithm to Predict Student Counselling 
    Jahan, Nusrat; Islam, Saiful; Sultana, Rezwana (International Journal of Engineering and Advanced Technology, 2019-10)
    Personal realization is one of the best things for a successful life. Sometimes, one needs help to realize about bad habits, career goals and accomplish mental health as well as to overcome other problems. This help is ...
  • FakeDTML at CheckThat! 2023: Identifying Check-Worthiness of Tweets and Debate Snippets 
    Sardar, Abdullah Al Mamun; Karim, Md. Ziaul; Dey, Krishno; Hasan, Md. Arid (Conference and Labs of the Evaluation Forum, 2023-09-18)
    "There is a wealth of knowledge available online. Some are trustworthy, while others are deceptive and phony. The need to identify such false information arises from the danger it poses to society at a mass. Nowadays, ...
  • Feature Selection and Classification of Spinal Abnormalities to Detect Low Back Pain Disorder Using Machine Learning Approaches 
    Islam, Md. Shariful; Asaduzzaman, Md.; Rahman, Mohammad Masudur (1st International Conference on Advances in Science, Engineering and Robotics Technology, IEEE, 2019-05-05)
    With the advent of computational intelligence, the analysis of medical data using machine learning techniques benefits accurate classification of different health diseases and disorders. However, disorganization and ...
  • Forecasting of Inflation Rate Contingent on Consumer Price Index 
    Momo, Shampa Islam; Riajuliislam, Md; Hafiz, Rubaiya (Scopus, 2021)
    Variations of inflation rate possess a diverse influence on the economic growth of any country. Inflation rate control can be accommodated to stabilize the financial aspect’s condition, including the political area. The ...
  • Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning 
    Ryan, Abdullah Al; Shuvessa, Silvia Kh; Mamun, Shahriar; Arpita, Habiba Dewan; Ahamed, Mr. Md. Sazzadur (IEEE, 2023-07-15)
    One of the most popular drinks, second only to water, is tea. Bangladesh ranks as the world’s 10th-largest manufacturer of tea. Tea has a big impact on poverty reduction, rural development, and nutrition security. Over the ...
  • Forecasting the Number of Road Accidents and Casualties Using Random Forest Regression in the Context of Bangladesh 
    Biswas, Al Amin; Mia, Md. Jueal; Majumder, Anup (10th International Conference on Computing, Communication and Networking Technologies, IEEE, 2019-12-30)
    Last few decades, road accident is one of the rising problems in Bangladesh. Therefore, forecasting the number of accident and its casualties is necessary for its mitigation. In this perspective, machine learning can play ...
  • GingerBangla: A Supervised Machine Learning Approach for Predicting Ginger Yield using Bangladeshi Climate Data 
    Iqbal, Lamia Binte; Rukhsara, Lamia; Sarker, Md Mahfujur Rahman; Mamun, Shahriar (IEEE, 2023-11-23)
    Ginger (Zingiber officinale) farming is an important part of Bangladesh's agriculture, and it also contributes significantly to the country's economy. Accurate prediction of ginger yield is essential for farmers, and ...
  • A Harmful Disorder: Predictive and Comparative Analysis for fetal Anemia Disease by Using Different Machine Learning Approaches 
    Hasan, Mahadi; Tahosin, Mst. Sazia; Farjana, Afia; Sheakh, Md. Alif; Hasan, Md Maruf (IEEE, 2023)
    Anemia is a major issue for public health with significant implications for national development, it remains a largely neglected health problem in many developing countries. Iron deficiency is responsible for at least 50% ...
  • Harvesting Insights: Unveiling the Future of Mango Yield Using Real-Time Bangladesh Climate Data by Supervised Machine Learning Approach 
    Sarker, Md Mahfujur Rahman; Ahamed, Md. Sazzadur; Iqbal, Lamia Binte; Mamun, Shahriar (Technoscience Publications, 2023-07-15)
    Mango, a unique fruit of the Indian subcontinent, was cultivated under the supervision of Mughal emperor Akbar [1]. Its exceptional taste impressed Alexander the Great [2]. Considering the potentiality of this unique fruit ...
  • Hate Speech Detection in the Bengali Language 
    Romim, Nauros; Ahmed, Mosahed; Talukder, Hriteshwar; Islam, Md Saiful (Daffodil International University, 2022-06-20)
    Hate speech is a common problem in the current time of social media and the internet as it is very easy to be in touch with everything through the internet and social media. Hate speech detection research is not very rare ...
  • Heart Disease Prediction Based on External Factors 
    Tamal, Maruf Ahmed; Islam, Md Saiful; Ahmmed, Md Jisan; Aziz, Md. Abdul; Miah, Pabel; Rezaul, Karim Mohammed (International Journal of Advanced Computer Science and Applications, 2019)
    Technology has immensely changed the world over the last decade. As a consequence, the life of the people is undergoing multiple changes that directly have positive and negative effects on health. Less physical activity ...
  • Heart Disease Prediction Using Machine Learning 
    Bilgaiyan, Saurabh; Ayon, Tajul Islam; Khan, Aliza Ahmed; Johora, Fatema Tuj; Parvin, Masuma; Alam, Mohammad Jahangir (IEEE, 2023-05-24)
    Mainly related to the cardiovascular system, brain, kidney, and peripheral arteries, the disease is called heart disease. Heart disease can have many causes, but high blood pressure and atherosclerosis are the main ones. ...
  • Heart Disease Prediction Using Supervised Machine Learning Algorithms 
    Ali, Md Mamun; Paul, Bikash Kumar; Ahmed, Kawsar; M.Bui, Francis; Quinn, Julian M.W.; Moni, Mohammad Ali (Computers in Biology and Medicine, 2021)
    Machine learning and data mining-based approaches to prediction and detection of heart disease would be of great clinical utility, but are highly challenging to develop. In most countries there is a lack of cardiovascular ...
  • Hotel Review Analysis for the Prediction of Business Using Deep Learning Approach 
    Hossen, Md. Sagar; Jony, Anik Hassan; Tabassum, Tasfia; Islam, Md. Tanvir; Rahman, Md Mahfujur; Khatun, Tania (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    Sentiment analysis is a widely used topic in Natural Language Processing that allows identifying the opinions or sentiments from a given text. Social media is the scope for the customers to share their opinion over the ...
  • Identification of Construction Era for Indian Subcontinent Ancient and Heritage Buildings by Using Deep Learning 
    Hasan, Md. Samaun; Kabir, S. Rayhan; Akhtaruzzaman, Md.; Sadeq, Muhammad Jafar; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Uddin, Md. Salah; Rahman, Mizanur; Forhat, Rokeya; Haque, Rafita; Arju, Hosne Ara; Ali, Mohammad (Springer, 2020-10-22)
    The Indian subcontinent is a south geographic part of Asia continent which consists of India, Bangladesh, Pakistan, Sri Lanka, Bhutan, Nepal, and Maldives. Different rulers or the empire of different periods have built ...

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