Results 11 to 20 of about 249,220 (290)
Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground [PDF]
, 2017 In Astrophysics, the identification of candidate Globular Clusters through deep, wide-field, single band HST images, is a typical data analytics problem, where methods based on Machine Learning have revealed a high efficiency and reliability ...
Angora, Giuseppe +5 more
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Frontiers in Digital Health, 2021 The world of healthcare constantly aims to improve the lives of people while nurturing their health and comfort. Digital health and wearable technologies are aimed at making this possible.
Mostafa Kamal Mallick +11 more
doaj +1 more source
Sensors, 2022 Efficient handwriting trajectory reconstruction (TR) requires specific writing surfaces for detecting movements of digital pens. Although several motion-based solutions have been developed to remove the necessity of writing surfaces, most of them are ...
Mohamad Wehbi +6 more
doaj +1 more source
Sensors, 2020 Wearable sensor technology already has a great impact on the endurance running community. Smartwatches and heart rate monitors are heavily used to evaluate runners’ performance and monitor their training progress.
Markus Zrenner +5 more
doaj +1 more source
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis
Sensors, 2017 Mobile gait analysis systems based on inertial sensing on the shoe are applied in a wide range of applications. Especially for medical applications, they can give new insights into motor impairment in, e.g., neurodegenerative disease and help objectify ...
Julius Hannink +5 more
doaj +1 more source
Animals, 2022 The monitoring of animals under human care is a crucial tool for biologists and zookeepers to keep track of the animals’ physical and psychological health.
Matthias Zuerl +13 more
doaj +1 more source
Disrupting Illicit Supply Networks: New Applications of Operations Research and Data Analytics to End Modern Slavery [PDF]
, 2018 Report from a 2017 National Science Foundation workshop on promising research directions for applications of operations research and data analytics toward the disruption of illicit supply networks like human trafficking.
Busch-Armendariz, Noël +2 more
core +1 more source
Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
core +1 more source
Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems [PDF]
, 2019 Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data.
Gharehpetian, Gevork B. +4 more
core +2 more sources
Reinforcement machine learning for predictive analytics in smart cities [PDF]
, 2017 The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities.
Anagnostopoulos, Christos +1 more
core +2 more sources