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Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Abstract: The Internet of Things (IoT) ecosystem generates vast amounts of multimodal data from heterogeneous sources such as sensors, cameras, and microphones. As edge intelligence continues to ...

The Hawaiʻi Department of Transportation has announced the launch of its Priority Multimodal Network, a statewide initiative identifying 113 projects designed to improve pedestrian, bicycle and ...

While vision-language models have shown impressive progress in general medical domains, pathology remains a challenging subfield due to its high-resolution image requirements and complex diagnostic ...

Introduction: Plant classification is vital for ecological conservation and agricultural productivity, enhancing our understanding of plant growth dynamics and aiding species preservation. The advent ...

Introduction: Single-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights.

ABSTRACT: This study explores the integration of multimedia tools in classrooms across Kosovo, highlighting the challenges teachers face and the impact of digital resources on student learning.

Background: Implementing machine learning models to identify clinical deterioration on the wards is associated with decreased morbidity and mortality. However, these models have high false positive ...