Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lun-Chi Chen

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Sensors (Basel, Switzerland)|October 14, 2022
Autonomous Mutual Authentication Protocol in the Edge NetworksRuey-Kai Sheu, Mayuresh Sunil Pardeshi, Lun-Chi Chen
Sensors (Basel, Switzerland)|July 21, 2019
STAM-CCF: Suspicious Tracking Across Multiple Camera Based on Correlation FiltersRuey-Kai Sheu, Mayuresh Pardeshi, Lun-Chi Chen, et al.
International Journal of Environmental Research and Public Health|February 25, 2023
Machine Learning Models to Predict the Risk of Rapidly Progressive Kidney Disease and the Need for Nephrology Referral in Adult Patients with Type 2 DiabetesChia-Tien Hsu, Kai-Chih Pai, Lun-Chi Chen, et al.
Sensors (Basel, Switzerland)|July 23, 2016
Uncertainty Comparison of Visual Sensing in Adverse Weather ConditionsShi-Wei Lo, Jyh-Horng Wu, Lun-Chi Chen, et al.
Sensors (Basel, Switzerland)|October 28, 2023
Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)Ruey-Kai Sheu, Yuan-Cheng Lin, Mayuresh Sunil Pardeshi, et al.
Journal of Clinical Medicine|July 2, 2021
An Artificial Intelligence Approach to Bloodstream Infections PredictionKai-Chih Pai, Min-Shian Wang, Yun-Feng Chen, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP)Ruey-Kai Sheu, Lun-Chi Chen, Chieh-Liang Wu, et al.
Digital Health|August 22, 2022
Artificial intelligence-aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographsKai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, et al.
JMIR Medical Informatics|February 26, 2025
Predicting Agitation-Sedation Levels in Intensive Care Unit Patients: Development of an Ensemble ModelPei-Yu Dai, Pei-Yi Lin, Ruey-Kai Sheu, et al.
BMC Medical Informatics and Decision Making|March 19, 2024
An automated ICU agitation monitoring system for video streaming using deep learning classificationPei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|October 14, 2022
Autonomous Mutual Authentication Protocol in the Edge NetworksRuey-Kai Sheu, Mayuresh Sunil Pardeshi, Lun-Chi Chen
Sensors (Basel, Switzerland)|July 21, 2019
STAM-CCF: Suspicious Tracking Across Multiple Camera Based on Correlation FiltersRuey-Kai Sheu, Mayuresh Pardeshi, Lun-Chi Chen, et al.
International Journal of Environmental Research and Public Health|February 25, 2023
Machine Learning Models to Predict the Risk of Rapidly Progressive Kidney Disease and the Need for Nephrology Referral in Adult Patients with Type 2 DiabetesChia-Tien Hsu, Kai-Chih Pai, Lun-Chi Chen, et al.
Sensors (Basel, Switzerland)|July 23, 2016
Uncertainty Comparison of Visual Sensing in Adverse Weather ConditionsShi-Wei Lo, Jyh-Horng Wu, Lun-Chi Chen, et al.
Sensors (Basel, Switzerland)|October 28, 2023
Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)Ruey-Kai Sheu, Yuan-Cheng Lin, Mayuresh Sunil Pardeshi, et al.
Journal of Clinical Medicine|July 2, 2021
An Artificial Intelligence Approach to Bloodstream Infections PredictionKai-Chih Pai, Min-Shian Wang, Yun-Feng Chen, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP)Ruey-Kai Sheu, Lun-Chi Chen, Chieh-Liang Wu, et al.
Digital Health|August 22, 2022
Artificial intelligence-aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographsKai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, et al.
JMIR Medical Informatics|February 26, 2025
Predicting Agitation-Sedation Levels in Intensive Care Unit Patients: Development of an Ensemble ModelPei-Yu Dai, Pei-Yi Lin, Ruey-Kai Sheu, et al.
BMC Medical Informatics and Decision Making|March 19, 2024
An automated ICU agitation monitoring system for video streaming using deep learning classificationPei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, et al.
Pageof 2