activity
20242026
most citedSocial Media for Mental Health: Data, Methods, and Findings

5 citations · 9 across the 9 of their papers we have counts for

collaborators

10 papers

cs.SI2026

Leveraging Social Media Data for COVID-19 Studies

Nur Hafieza Ismail, Nur Shazwani Kamarudin, Nurol Husna Che Rose

Nowadays, social media networks have become widely preferred sources of information. Especially during the time of the Coronavirus disease 2019 COVID 19 pandemic, social media has…

cs.CL2025

A Review: PTSD in Pre-Existing Medical Condition on Social Media

Zaber Al Hassan Ayon, Nur Hafieza Ismail, Nur Shazwani Kamarudin

Post-Traumatic Stress Disorder (PTSD) is a multifaceted mental health condition, particularly challenging for individuals with pre-existing medical conditions. This review critical…

cs.CV2025

Heart Disease Prediction using Case Based Reasoning (CBR)

Mohaiminul Islam Bhuiyan, Chan Hue Wah, Nur Shazwani Kamarudin +2

This study provides an overview of heart disease prediction using an intelligent system. Predicting disease accurately is crucial in the medical field, but traditional methods rely…

cs.CV2025

Facial Expression Recognition with YOLOv11 and YOLOv12: A Comparative Study

Umma Aymon, Nur Shazwani Kamarudin, Ahmad Fakhri Ab. Nasir

Facial Expression Recognition remains a challenging task, especially in unconstrained, real-world environments. This study investigates the performance of two lightweight models, Y…

cs.CL2025★ 5 cited

Social Media for Mental Health: Data, Methods, and Findings

Nur Shazwani Kamarudin, Ghazaleh Beigi, Lydia Manikonda +1

There is an increasing number of virtual communities and forums available on the web. With social media, people can freely communicate and share their thoughts, ask personal questi…

cs.CL2025

Detecting Suicidal Ideation in Text with Interpretable Deep Learning: A CNN-BiGRU with Attention Mechanism

Mohaiminul Islam Bhuiyan, Nur Shazwani Kamarudin, Nur Hafieza Ismail

Worldwide, suicide is the second leading cause of death for adolescents with past suicide attempts to be an important predictor for increased future suicides. While some people wit…

cs.CL2025

Sentiment Analysis On YouTube Comments Using Machine Learning Techniques Based On Video Games Content

Adi Danish Bin Muhammad Amin, Mohaiminul Islam Bhuiyan, Nur Shazwani Kamarudin +2

The rapid evolution of the gaming industry, driven by technological advancements and a burgeoning community, necessitates a deeper understanding of user sentiments, especially as e…

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.CL2025★ 1 cited

Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model

Mohaiminul Islam Bhuiyan, Nur Shazwani Kamarudin, Nur Hafieza Ismail

Suicidal ideation detection is crucial for preventing suicides, a leading cause of death worldwide. Many individuals express suicidal thoughts on social media, offering a vital opp…

cs.CV2024★ 1 cited

Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation

Niful Islam, Mohaiminul Islam Bhuiyan, Jarin Tasnim Raya +4

Brain tumors are one of the most common diseases that lead to early death if not diagnosed at an early stage. Traditional diagnostic approaches are extremely time-consuming and pro…