The shape of learning curves: a review
Learning curves provide insight into the dependence of a learner's generalization
performance on the training set size. This important tool can be used for model selection, to …
performance on the training set size. This important tool can be used for model selection, to …
Human factors in order picking: a content analysis of the literature
Order picking (OP) is one of the most labour-and time-intensive processes in internal
logistics. Over the last decades, researchers have developed various mathematical planning …
logistics. Over the last decades, researchers have developed various mathematical planning …
Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
Exercise-enhanced sequential modeling for student performance prediction
In online education systems, for offering proactive services to students (eg, personalized
exercise recommendation), a crucial demand is to predict student performance (eg, scores) …
exercise recommendation), a crucial demand is to predict student performance (eg, scores) …
Applications of learning curves in production and operations management: A systematic literature review
The occurrence and characteristics of human learning and forgetting are extensively
researched in many fields. Thus, the literature on learning curves is abundant. Within …
researched in many fields. Thus, the literature on learning curves is abundant. Within …
[HTML][HTML] Knowledge management and business performance: global experts' views on future research needs
Purpose This paper aims to examine the views of the global knowledge management (KM)
community on the research area of KM and business performance and identify key future …
community on the research area of KM and business performance and identify key future …
Incorporating human factors in order picking planning models: framework and research opportunities
Order picking (OP) activities, essential to logistics operations, are laborious and time-
intensive. Humans are central actors in the OP process and determine both OP effectiveness …
intensive. Humans are central actors in the OP process and determine both OP effectiveness …
A framework for operative and social sustainability functionalities in Human-Centric Cyber-Physical Production Systems
M Pinzone, F Albè, D Orlandelli, I Barletta… - Computers & industrial …, 2020 - Elsevier
In a near future where manufacturing companies are faced with the rapid technological
developments of Cyber-Physical Systems (CPS) and Industry 4.0, a need arises to consider …
developments of Cyber-Physical Systems (CPS) and Industry 4.0, a need arises to consider …
Multiagent scheduling
Scheduling problems are combinatorial optimization problems in which some activities have
to be executed using resources that they need. A feasible allocation of the resources to the …
to be executed using resources that they need. A feasible allocation of the resources to the …
Scheduling problems under learning effects: classification and cartography
Traditionally, the processing times of jobs are assumed to be fixed and known throughout
the entire process. However, recent empirical research in several industries has …
the entire process. However, recent empirical research in several industries has …