Results 231 to 240 of about 1,699,663 (409)

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

Implementation of Telemedicine for Patients Referred to Emergency Medical Services. [PDF]

Epidemiologia (Basel)
Cortellaro F, Taurino L, Delorenzo M, Pausilli P, Ilardo V, Duca A, Stirparo G, Costantino G, Galbiati F, Contro E, Bertolini G, Fenech L, Sechi GM.   +12 more
europepmc   +1 more source

Use of Landing Service and Parking Areas for Helicopter Emergency Medical Service (HEMS) [PDF]

, 2002
Hideki Honda, T Kawashima, Nobuo Kaku
openalex   +1 more source

Collaborative Multirobot Navigation‐Assisted Magnetic Catheter Guidance and Shape Perception with Vascular Ultrasound and Electromagnetic Tracking

Advanced Intelligent Systems, EarlyView.
The article develops a collaborative multirobot navigation system‐assisted magnetic catheter guidance and shape perception method using the information fusion of robotic vascular ultrasound imaging and electromagnetic tracking to reconstruct the 3D catheter's shape and vasculature. Results verify the effectiveness of the system and the potential of the
Zhengyang Li, Junan Li, Magejiang Yeerbulati, Shurun Liang, Yechen Zhang, Qingsong Xu   +5 more
wiley   +1 more source

Characterization and Application of Statewide Emergency Medical Services Advanced Life Support Protocols. [PDF]

Cureus
Devanarayan P, Sena R, Johnson D.
europepmc   +1 more source

Emdrgency Medical Support Services and Emergency Physicians' Role at Marine Sporting Events.

, 2000
Shöichi Ohta, M Murakami, Manabu Nemoto, Yoshihiro Yamaguchi, Kenichi Hirukawa, Tetsuo Yukioka, Shuji Shimazaki   +6 more
openalex   +2 more sources

Modeling an emergency medical services system using computer simulation [PDF]

, 2003
Syi Su, Chung‐Liang Shih
openalex   +1 more source

On‐Device Brain Tumor Classification from MR Images Using Smartphone

Advanced Intelligent Systems, EarlyView.
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun, Merve Bulbul, Gozde Yolcu Oztel, Veysel Harun Sahin   +3 more
wiley   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

Advanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang, Ni Fan, Weiping Wang, Jinqiang Wang, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Patient and mission characteristics of helicopter emergency medical services in the Republic of Ireland: a retrospective analysis. [PDF]

Scand J Trauma Resusc Emerg Med
Hennelly D, Masterson S, O'Donnell C, Jennings PA, McHugh S, Quinn R, Deasy C.   +6 more
europepmc   +1 more source