Results 81 to 90 of about 1,735,174 (276)
Revista Latino-Americana de Enfermagem, 2016 Objective verify the application of the Workload Indicators of Staffing Need method in the prediction of nursing human resources at a Family Health service.
Daiana Bonfim +4 more
doaj +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Short-Term Load Forecasting of Virtual Machines Based on Improved Neural Network
IEEE Access, 2019 Cloud computing allows applications to share resources on physical machines in an independent manner so as to effectively increase the utilization of physical machines.
Wei Guo, Wei Ge, Xudong Lu, Hui Li
doaj +1 more source
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source
DBDW: A Dual-Branch Database Workload Prediction Model
Journal of Applied Science and EngineeringScalable cloud databases allow users to dynamically adjust computational resources based on business needs. However, most current elastic scaling techniques face challenges in making sound decisions due to complex workload variations. Achieving efficient
Chao Yang +3 more
doaj +1 more source
Study of prediction model of nursing human resources based on human factors engineering theory
Huli yanjiu, 2023 ObjectiveTo explore the influencing factors of nursing workload and build the nursing human resource prediction model based on the theory of human factor engineering.MethodsThe nursing workload and related data of 149 nursing units in a tertiary grade A ...
HUANG Mingqian +3 more
doaj
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Advanced Electronic Materials, EarlyView.Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Journal of Medical Internet ResearchBackgroundDetermining effective nurse staffing levels is crucial for ensuring quality patient care and operational efficiency within hospitals. Traditional workload prediction methods often rely on professional judgment or simple volume-based approaches,
Mark McMahon +5 more
doaj +1 more source
Taking the load off: Investigations of how adaptive cruise control affects mental workload [PDF]
, 2004 It has been posited that Adaptive Cruise Control (ACC) represents a new generation of vehicle automation, in that it has the potential to relieve drivers of mental as well as physical workload.
Young, Mark S. +3 more
core +1 more source