output
20102025
most citedSmart Cane: Assistive Cane for Visually-impaired People

137 citations

27 papers

cs.CY2025★ 2 cited

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation

Mohaiminul Islam Bhuiyan, Nur Shazwani Kamarudin, Nur Hafieza Ismail

This review underscores the critical need for effective strategies to identify and support individuals with suicidal ideation, exploiting technological innovations in ML and DL to…

cs.CV2023★ 2 cited

EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification

Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan +3

Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. The accurate classification of e-waste images is critical for efficient manageme…

cs.LG2023★ 5 cited

Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13

Md Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam +3

Integrating renewable energy sources into the power grid is becoming increasingly important as the world moves towards a more sustainable energy future in line with SDG 7. However,…

eess.SP2023★ 103 cited

HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana +4

In this paper have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with dilated CNN (HARDC) method for arrhythmia classification. This…

cs.SI2023★ 26 cited

What Do We Mean When We Talk about Trust in Social Media? A Systematic Review

Yixuan Zhang, Joseph D Gaggiano, Nutchanon Yongsatianchot +5

Do people trust social media? If so, why, in what contexts, and how does that trust impact their lives? Researchers, companies, and journalists alike have increasingly investigated…

cs.IR2022★ 3 cited

Material Named Entity Recognition (MNER) for Knowledge-driven Materials Using Deep Learning Approach

M. Saef Ullah Miah, Junaida Sulaiman

The scientific literature contains a wealth of cutting-edge knowledge in the field of materials science, as well as useful data (e.g., numerical data from experimental results, mat…