This paper introduces the Semantic Propagation Graph Neural Network (SProp GNN), a machine learning emotion prediction (EP) architecture that relies exclusively on syntactic structures and word-level emotional cues to predict emotions in text. By sem... read more
The proposed study puts forward an artificial intelligence-based framework to predict the needs of the urban public services and aid resource allocation based on data in the current social governance systems. A hybrid deep learning model is designed ... read more
We present DeepFoc, a novel deep learning framework for estimating earthquake focal mechanisms from P-wave polarities and amplitudes, specifically designed for low-to-moderate magnitude events in complex tectonic settings. Trained entirely on synthet... read more
The main goal of this paper is to determine the optimal DC bias value for DC-biased optical orthogonal frequency division multiplexing (DCO-OFDM)- based Light fidelity (Li-Fi) systems using machine learning (ML) algorithms. The reason for this is tha... read more
Accurate estimation of the Estimated Ultimate Recovery (EUR) of shale gas wells is essential for development planning and economic evaluation. However, complex geological and engineering conditions make reliable EUR prediction challenging, especially... read more
This study evaluated the performance of three large language models, including ChatGPT-4o, ChatGPT-5, and Gemini 2.5 Flash, on 532 Persian multiple-choice questions from the 2025 Iranian surgical subspecialty board examinations. Questions spanned fiv... read more
This research presents a comprehensive and automated framework for detecting surface cracks and measuring their widths in reinforced concrete (RC) members using a modified YOLO-V11 deep learning (DL) architecture. Basically, manual surface-crack insp... read more
The increasing demand for sustainable and high-performance construction materials has created a need for reliable predictive modeling tools for geopolymer concrete systems. Conventional experimental methods for determining compressive strength are ex... read more
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