10 citations · 33 across the 7 of their papers we have counts for
7 papers
Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction
Jonayet Miah, Duc M Ca, Md Abu Sayed +3
Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its association with smoking, elevated blood pressure, and cholesterol levels underscores the…
Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks
Jonayet Miah, Duc M Cao, Md Abu Sayed +1
Artistic style transfer, a captivating application of generative artificial intelligence, involves fusing the content of one image with the artistic style of another to create uniq…
Boosting Stock Price Prediction with Anticipated Macro Policy Changes
Md Sabbirul Haque, Md Shahedul Amin, Jonayet Miah +2
Prediction of stock prices plays a significant role in aiding the decision-making of investors. Considering its importance, a growing literature has emerged trying to forecast stoc…
Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks
Razib Hayat Khan, Jonayet Miah, S M Yasir Arafat +2
This study delves into the application of graph neural networks in the realm of traffic forecasting, a crucial facet of intelligent transportation systems. Accurate traffic predict…
Advancing Brain Tumor Detection: A Thorough Investigation of CNNs, Clustering, and SoftMax Classification in the Analysis of MRI Images
Jonayet Miah, Duc M Cao, Md Abu Sayed3 +3
Brain tumors pose a significant global health challenge due to their high prevalence and mortality rates across all age groups. Detecting brain tumors at an early stage is crucial…
Retail Demand Forecasting: A Comparative Study for Multivariate Time Series
Md Sabbirul Haque, Md Shahedul Amin, Jonayet Miah
Accurate demand forecasting in the retail industry is a critical determinant of financial performance and supply chain efficiency. As global markets become increasingly interconnec…
MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning
Jonayet Miah, Muntasir Mamun, Md Minhazur Rahman +3
Mobile phones and other electronic gadgets or devices have aided in collecting data without the need for data entry. This paper will specifically focus on Mobile health data. Mobil…