Author

Raheela Asif

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Open access Aug 2026

Refined Graph-Guided Fusion Network for Explainable Multimodal Lung Cancer Classification Using CT Imaging and Semantic Features

Classifying benign and malignant lung nodules from computed tomography (CT) images remains difficult because lung nodules can be hard to classify, and unimodal models cannot capture complementary diagnostic information. Despite the success of deep learning, existing methods rely only on image information and miss seman...

Adiba Jafar, Raheela Asif, Syed Muslim Jameel · Information · 0 citations

Open access Jul 2026

Benchmarking Energy Efficiency of Supervised Machine Learning Models on Multi-Domain Classification Datasets

It is demonstrated that accuracy alone can be misleading for model evaluation and that integrating energy, runtime, and memory metrics enables more sustainable and resource-aware machine learning model selection.

Aamir Ali, Rohail Qamar, Raheela Asif et al. · Information · 0 citations

Open access Jul 2026

A Framework for Structurally Deterministic Pipeline Based Drafting and Quality Improvement of Software Requirements Specifications Using Language Models and Reinforcement Learning

A systematic approach to SRS generation in which input requirements from stakeholders are classified into semantically meaningful topics, followed by the construction of an initial skeleton document based on these topics, which is then incrementally expanded using reinforcement learning to improve consistency, complete...

Muhammad Ali Akhtar, Raheela Asif · Information · 0 citations