Results 181 to 190 of about 212,439 (283)

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

Live video streaming of neurology ward rounds for undergraduate medical students can replace conventional bedside teaching

, 2022
Sekiguchi K, Kawano S, Chihara N, Kobayashi S, Maeda E, Matsumoto R.   +5 more
europepmc   +1 more source

HFR Projector Camera Based Visible Light Communication System for Real-Time Video Streaming. [PDF]

Sensors (Basel), 2020
Sharma A, Raut S, Shimasaki K, Senoo T, Ishii I.   +4 more
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Tick‐Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok—a highly engaging social media platform with a powerful algorithm that displays short videos—has become massively popular in recent years. As research highlights the concerning relationship between image‐based content on social media and disordered eating symptoms, TikTok may serve as an optimal platform to understand eating ...
Macarena Kruger, Isabella Pruscino, Caroline G. Martin, Elizabeth A. Velkoff   +3 more
wiley   +1 more source

TikTok and Eating Disorders: A Narrative Review

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok has rapidly become one of the world's most influential social media platforms, distinguished by its algorithmically personalized video feed. Its design prioritizes continuous, engagement‐optimized content delivery, raising questions about how such environments may shape eating disorder risk, symptom maintenance, and recovery ...
Scott Griffiths, Sami Hondrogiannis, Noa Brittain   +2 more
wiley   +1 more source

A Thermally Robust Luminescent Antimony Halide for Real‐Time Detection of Volatile Iodine at Elevated Temperatures

EcoEnergy, EarlyView.
Zero‐dimensional antimony halides drive efficient iodine capture through electron transfer and display rapid fluorescence quenching at 75°C (348 K), establishing the first luminescent sensor for real‐time I2 detection at elevated temperatures. ABSTRACT Real‐time monitoring of volatile molecular iodine (I2), a hazardous radioactive byproduct of nuclear ...
Ying Jiang, Yumin Wang, Fu Peng, Junren Wang, Shangge Zhang, Linwei He, Guangyuan Chen, Jianrong Zeng, Fangling Jiang, Lin Zhu, Kai Li, Long Chen, Shuao Wang, Yaxing Wang   +13 more
wiley   +1 more source

Video stream

A video live stream will be set-up for the main lectures and discussions of the EU digital event. We consciously choose not to stream the entire event, as we want to encourage participants to join the event physically. We believe this will fully reach the key goals of our event, such as fostering networking possibilities.
openaire   +1 more source