Analytics for the internet of things: A survey
The Internet of Things (IoT) envisions a world-wide, interconnected network of smart
physical entities. These physical entities generate a large amount of data in operation, and …
physical entities. These physical entities generate a large amount of data in operation, and …
On the nature and types of anomalies: a review of deviations in data
R Foorthuis - International journal of data science and analytics, 2021 - Springer
Anomalies are occurrences in a dataset that are in some way unusual and do not fit the
general patterns. The concept of the anomaly is typically ill defined and perceived as vague …
general patterns. The concept of the anomaly is typically ill defined and perceived as vague …
Letting the computers take over: Using AI to solve marketing problems
Artificial intelligence (AI) has proven to be useful in many applications from automating cars
to providing customer service responses. However, though many firms want to take …
to providing customer service responses. However, though many firms want to take …
A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains
MM Pereira, EM Frazzon - International Journal of Information Management, 2021 - Elsevier
The integration of selling and fulfillment processes triggered by omni-channels is
transforming the retailer's operations management. In this context, there is a lack of research …
transforming the retailer's operations management. In this context, there is a lack of research …
Fake news detection: Taxonomy and comparative study
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …
pervasive issue of fake news within modern societies. Due to the large amount of …
Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
More than a century after the discovery of superconductors (SCs), numerous studies have
been accomplished to take advantage of SCs in physics, power engineering, quantum …
been accomplished to take advantage of SCs in physics, power engineering, quantum …
ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization
Association rule mining (ARM) aims to find out association rules that satisfy predefined
minimum support and confidence from a given database. However, in many cases ARM …
minimum support and confidence from a given database. However, in many cases ARM …
Data-centric ai for healthcare fraud detection
JM Johnson, TM Khoshgoftaar - SN Computer Science, 2023 - Springer
Automated methods for detecting fraudulent healthcare providers have the potential to save
billions of dollars in healthcare costs and improve the overall quality of patient care. This …
billions of dollars in healthcare costs and improve the overall quality of patient care. This …
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation
CA Escobar, D Macias-Arregoyta… - Quality …, 2024 - Taylor & Francis
Smart manufacturing (SM) processes exhibit rapidly increasing complexity, nonlinear
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …
Towards a greener Extended-Arrival Manager in air traffic control: A heuristic approach for dynamic speed control using machine-learned delay prediction model
Abstract Extended Arrivals Manager (E-AMAN) is a concept that reduces congestion and
holding time in the Terminal Maneuver Airspace (TMA) by managing the arrival aircraft …
holding time in the Terminal Maneuver Airspace (TMA) by managing the arrival aircraft …