Urbanization has dramatically transformed the landscapes of cities worldwide, often
resulting in a decline of natural environments and an increase in stressors that negatively …

This paper examines the critical role of Explainable AI (XAI) in enhancing transparency in
emission reduction decision-making processes. As climate change poses an urgent global …

This paper introduces SummaGAN, a novel application of Generative Adversarial Networks
(GANs) for text summarization. Unlike traditional summarization methods that rely on …

In the modern industrial landscape, the integration of predictive maintenance (PdM) using
machine learning (ML) has become essential for optimizing plant efficiency and minimizing …

In the era of, online reviews have become a cornerstone of decision-making for consumers.
This study addresses the challenging task of predicting ratings for long-form movie reviews …

The exponential growth of online information has intensified the need for efficient web news
summarization techniques. This paper introduces the Self-Interactive Summarization Model …

Ensuring quality control in the supply chain is paramount for maintaining product integrity
and customer satisfaction. However, the scarcity of defect-specific data poses significant …

This paper presents a predictive model designed to assess the likelihood of success for
announced mergers and acquisitions (M&A) by integrating financial data with natural …

Cross-domain generalization remains a critical challenge in the field of machine learning.
Traditional models often struggle to maintain performance when applied to new, unseen …

Breast cancer surgery treatment has a century of development from extended radical
mastectomy to modified radical mastectomy and then to breast-conserving surgery. Breast …