Results 141 to 150 of about 869,683 (332)

MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud [PDF]

, 2019
Vatche Ishakian, Azer Bestavros, A. J. Kfoury   +2 more
openalex   +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

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Behind the Hammer's Swing: Work Fatigue Among Traditional Stone Breakers in the Coastal Region of the Selayar Islands, Indonesia

Diversity
The work of stone breakers involves heavy and repetitive physical activity, which can increase the risk of injuries and health problems, one of which is work fatigue. Before work fatigue becomes more severe, it is essential to identify its causes.
Rizky Maharja, Tajuddin Tajuddin, Sitti Fatimah Rahmansyah, Andi Tenriola Fitri Kessi, Arni Juliani, Riadnin Maharja   +5 more
doaj   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

Advanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen, Xiaoqing Zhang, Tingyi Dai, Fangfang Gou, Jia Wu   +4 more
wiley   +1 more source

An optimal repartitioning decision policy [PDF]

A central problem to parallel processing is the determination of an effective partitioning of workload to processors. The effectiveness of any given partition is dependent on the stochastic nature of the workload.
Nicol, D. M., Reynolds, P. F., Jr.
core   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Vagally mediated heart rate variability modulates the association between the perceived workload and the Stroop effect on behavioral performance

Physiological Reports
Vagally mediated heart rate variability (vmHRV) reflects top‐down cognitive processes involved in emotion‐cognition integration. Using cognitive control can be effortful and increase negative affect.
Xiao Yang, Michael Gazzanigo, Fang Fang, Spencer House   +3 more
doaj   +1 more source

Overworked? The relationship between workload and health worker performance in rural Tanzania [PDF]

The current shortage of health workers in many low-income countries poses a threat to the quality of health services. When the number of patients per health worker grows sufficiently high, there will be insufficient time to diagnose and treat all ...
Arild Aakvik, Gaute Torsvik, Ottar Mæstad   +2 more
core  

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source