Results 271 to 280 of about 160,039 (318)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Safety, health and environmental annual report 2010. Joint Research Centre Institute for Energy [PDF]

, 2011
Eriksen, B., Timke, T., van Lierop, K.
core  

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Measuring motor function of children with mild/moderate intellectual impairment using the HiMAT/ Revised HiMAT compared to BOT2: a pilot validation study [PDF]

, 2011
Gunther, Dominic, Keogh, Helen, Low Choy, Nancy, Milne, Nikki, Richmond, Joy, Steele, Mike   +5 more
core  

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

Advanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma, Eugen Koch, Andreas Dietzel, Shrutidhara Sarma   +3 more
wiley   +1 more source

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

Advanced Intelligent Systems, EarlyView.
Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata, Hajime Nakamura, Takafumi Uemura, Teppei Araki, Takaki Matsumura, Takaaki Abe, Toshikazu Nezu, Masatoshi Takagaki, Tomohiko Ozaki, Shinpei Miura, Ryohei Fukuma, Sam E. John, David B. Grayden, Haruhiko Kishima, Tsuyoshi Sekitani, Takufumi Yanagisawa   +15 more
wiley   +1 more source

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung, Heeju Mun, Seyed Farokh Atashzar, Ki‐Uk Kyung   +3 more
wiley   +1 more source

Comparison of the Effects of Diaphragmatic Breathing and Pursed-lip Breathing Exercises on the Sleep Quality of Elderly Patients with Chronic Obstructive Pulmonary Disease (COPD): A Clinical Trial Study. [PDF]

Ther Adv Pulm Crit Care Med
Dodange Z, Darvishpour A, Ershad MJ, Gholami-Chaboki B.   +3 more
europepmc   +1 more source

Enhancing Thoracic Expansion in Active Smokers: The Impact of Deep Breathing Exercises –An Experimental Study

Fairuz Salsabila Basyasyah, Isnaini Herawati   +1 more
openalex   +2 more sources