most citedRetail Demand Forecasting: A Comparative Study for Multivariate Time Series

10 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

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…

q-fin.ST2023★ 6 cited

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…

eess.IV2023★ 9 cited

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…

cs.LG2023★ 10 cited

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…

eess.IV2023★ 1 cited

Prediction of Pneumonia and COVID-19 Using Deep Neural Networks

M. S. Haque, M. S. Taluckder, S. B. Shawkat +3

Pneumonia, caused by bacteria and viruses, is a rapidly spreading viral infection with global implications. Prompt identification of infected individuals is crucial for containing…