AIMC Topic: Work
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Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times.
Computational intelligence and neuroscience
Apr 27, 2021
Major depressive disorder (MDD) is the most common mental disorder in the present day as all individuals' lives, irrespective of being employed or unemployed, is going through the depression phase at least once in their lifetime. In simple terms, it ...
Mental labour.
Nature human behaviour
Sep 3, 2018
Mental effort is an elementary notion in our folk psychology and a familiar fixture in everyday introspective experience. However, as an object of scientific study, mental effort has remained rather elusive. Cognitive psychology has provided some too...
A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling.
Evolutionary computation
Apr 27, 2016
We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance...
Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system.
Applied ergonomics
Jan 2, 2016
In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological a...
Evolution of Self-Organized Task Specialization in Robot Swarms.
PLoS computational biology
Aug 6, 2015
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task specialization observed in both animal societies and multicellular organisms. Although clearly adaptive, the way in which division of labor first evo...
Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases.
Work (Reading, Mass.)
Jan 1, 2020
BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and a...
Inner Workings: Can robots make good teammates?
Proceedings of the National Academy of Sciences of the United States of America
Oct 30, 2018
Inflight application of three pilot workload measurement techniques.
Aviation, space, and environmental medicine
May 1, 1987
Three measures of workload were tested during 11 routine missions conducted by the NASA Kuiper Airborne Observatory: communications performance, subjective ratings, and heart rate. The activities that contributed to crewmember workload varied; the co...
Helicopter copilot workload during nap-of-the-earth flight.
Aviation, space, and environmental medicine
Feb 1, 1985
Two automatic navigation systems, a Doppler radar system and a projected map system, and a hand-held map were examined for their effects on copilot/navigator workload and performance. The automatic navigation systems reduced the number of navigation ...
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