Scene transitions are integral to video editing, enabling seamless storytelling by connecting dis tinct video segments into a cohesive visual narrative. Despite advancements in video editing tools, automated generation of ...

This study aims to understand the feasibility of a stress detection model through a smartwatch using the physiological data collected for lab and real-life settings. Wearable devices such as smartwatches have the potential ...

Distributed machine learning (ML) workloads, particularly the training of deep neural networks (DNNs) and large language models (LLMs), rely heavily on efficient network communication to achieve scalability. However, network ...

Today, global Internet traffic is dominated by video streaming, prompting service providers to adopt emerging technologies that enhance users’ Quality of Experience (QoE) while sustaining operational efficiency. In this ...

Machine learning and deep learning algorithms have demonstrated exceptional performance across various computer vision tasks, including face detection, attribute prediction, object detection, image segmentation, and ...

The rapid emergence of large-scale Pre-Trained Models (PTMs) trained on massive and diverse corpora has fundamentally reshaped the landscape of numerous AI domains, in- cluding natural language processing, computer vision ...

This study encapsulates our progress in the integration of advanced AI models within healthcare contexts. Utilizing state-of-the-art models for new tasks, we explore their efficacy in tasks like cancer classification and ...

Large Language Models (LLMs) have revolutionized natural language processing (NLP) with exceptional capabilities in reasoning and computational tasks, enabled by extensive pretraining on large datasets dominated by ...

As artificial intelligence-enabled wearable devices become increasingly integrated into everyday life, they offer new opportunities to continuously monitor physiological signals and support emotional well-being outside ...

Understanding neural activity through stimulation offers significant potential for neuroscience research and clinical applications. However, experimental setups involving magnetic or electrical stimulation, such as those ...