Results 161 to 170 of about 1,146,068 (304)

Lay beliefs about AI assessment of interpersonal skills in personnel selection. [PDF]

Sci Rep
Cheong I, Huh YE, Puntoni S.
europepmc   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. [PDF]

PLoS One
Lee TC, Ziegler M.
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task. [PDF]

Sci Rep
Cecil J, Lermer E, Hudecek MFC, Sauer J, Gaube S.   +4 more
europepmc   +1 more source

Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor

Advanced Intelligent Systems, EarlyView.
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura, Marcela R. Machado, Tanmoy Mukhopadhyay   +2 more
wiley   +1 more source

PERSONNEL SELECTION PROCESSES

Вестик Национального технического университету «Харьковский политехнический институт» (экономические науки), 2020
Метою даної статті є розгляд проблем, з якими стикаються служби управління персоналом при відборі кандидатів на вакантні посади.Робота будь-якої компанії неминуче пов'язана з необхідністю комплектування штату. Відбір нових працівників не тільки забезпечує режимнормального функціонування компанії, але і закладає фундамент майбутнього успіху.
openaire   +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

A methodology for personnel selection in business development: An interval type 2-based fuzzy DEMATEL-ANP approach. [PDF]

Heliyon
Nalbant KG.
europepmc   +1 more source

Politique de sélection et engagement du personnel [PDF]

, 2014

core