output
20122026
most citedTransformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market

92 citations

16 papers

eess.IV2026

Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network

Md Fahimul Kabir Chowdhury, Jannatul Ferdous

Improving patient outcomes depends on the prompt and accurate diagnosis of brain tumors, but manual MRI scan analysis is still time-consuming and unreliable. Although deep learning…

eess.IV2026★ 1 cited

Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans

Md Mahmudul Hoque, Md Mehedi Hassain, Muntakimur Rahaman +3

Polycystic Ovary Syndrome (PCOS) is the most familiar endocrine illness in women of reproductive age. Many Bangladeshi women suffer from PCOS disease in their older age. The aim of…

cs.LG2023★ 1 cited

Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets

Khandaker Tayef Shahriar, Iqbal H. Sarker

COVID-19 has created a major public health problem worldwide and other problems such as economic crisis, unemployment, mental distress, etc. The pandemic is deadly in the world and…

q-fin.ST2022★ 92 cited

Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market

Tashreef Muhammad, Anika Bintee Aftab, Md. Mainul Ahsan +4

In modern capital market the price of a stock is often considered to be highly volatile and unpredictable because of various social, financial, political and other dynamic factors.…

cond-mat.supr-con2021★ 69 cited

A comprehensive first principles calculations on (Ba0.82K0.18)(Bi0.53Pb0.47)O3 single-cubic-perovskite superconductor

Mirza H. K. Rubel, Sujon Kumar Mitro, Khandaker Monower Hossain +7

In this present study, the pseudopotential plane-wave (PP-PW) pathway in the scheme of density functional theory (DFT) is utilized to investigate the various physical properties on…

cond-mat.mtrl-sci2021★ 46 cited

Enhanced thermo-mechanical properties of 212 MAX phase borides Zr2AB2 (A = In, Tl): an ab-initio understanding

M. A. Ali, M. M. Hossain, M. M. Uddin +2

The discovery of MAX phase borides has added a new dimension for research in the materials science community. In this paper, a first-principles study of the newly known MAX phase b…