Aspect-Based Sentiment Analysis (ABSA) is a Fine-grained Sentiment Classification task that aims to detect the sentiment polarities expressed towards specific aspects in the text. ABSA has also become prevalent in applications of product feedback mining, brand monitoring and recommendation systems due to the growth of...
A. Siddiqua, H. C. Nagaraj· international journal of eng...· 0 citations
Solid waste management is an increasing problem in developing countries' coastal and marine cities due to inadequate management. The purpose of the research is to investigate the solid waste management system of Kuakata tourist city. A stratified random sampling method was used, and several statistical tools were used...
A. Siddiqua, M. Faisal, Shah Taimur Rahaman Tamim et al.· Journal of Science Technolog...· 0 citations
This study presents a lightweight, real-time flood severity classification system based on MobiFloodViT, a vision transformer architecture optimized for mobile and embedded platforms that offers a scalable, non-intrusive, and cost-efficient solution for real-time flood detection and severity classification.
Ashif Mahmud Joy, Sadman Rafi, A. Siddiqua et al.· Natural Hazards· 0 citations
A conceptual bias sensitive news interface is proposed that visualizes emotional cues across news sources and helps readers notice affective framing patterns in daily news.
Mohd Ruhul Ameen, Akif Islam, Abu Saleh Musa Miah et al.· 2026 International Conferenc...· 1 citation
ABSTRACT Global agriculture is increasingly challenged by climate instability, genetic erosion, emerging pathogens and rising food demands, exposing the limitations of conventional breeding and traditional domestication strategies. Recent advances in CRISPR‐based genome editing, pangenomic, synthetic biology, artificia...
Muhammad Mubashar Zafar, H. Firdous, A. Siddiqua et al.· Plant Biotechnology Journal· 0 citations
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