Facing declining conventional resources, the oil industry requires advanced methods to maximize recovery. Polymer flooding is a key technique, but its optimization is hindered by complex parameter interactions and the high computational cost of tradi... read more
UNLABELLED: The increasing complexity of network traffic has heightened the demand for intrusion detection systems (IDS) that deliver high accuracy, interpretability, and efficiency in diverse computing environments, including edge devices. Tradition... read more
Social networking sites provide a platform for individuals to express their opinions publicly. Brand managers actively use these platforms to gain insights into brand perceptions, as users often share their views on products and services. In this stu... read more
Multimodal clinical data, including imaging, pathology, omics, and laboratory tests, are often fragmented in routine practice, leading to inconsistent decision-making in the management of urological cancers. We propose UroFusion-X, a unified multimod... read more
Digital technology has ignited new expectations for educational transformations, with generative artificial intelligence (GenAI) at the forefront. As GenAI-driven technologies have permeated multiple aspects of foreign language (FL) pedagogy, researc... read more
BACKGROUND: Oral Squamous Cell Carcinoma (OSCC) is a widespread and aggressive malignancy where early and accurate detection is essential for improving patient outcomes. Traditional diagnostic methods relying on histopathological examination are ofte... read more
Shifting consumers towards more sustainable food consumption and avoiding food waste have been identified as key levers in mitigating food systems-related climate change impacts. Here we conducted a machine-learning-assisted systematic review and met... read more
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