Results 121 to 130 of about 182,565 (340)

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

Mathematical models of games of chance: Epistemological taxonomy and potential in problem-gambling research [PDF]

open access: yes, 2015
Games of chance are developed in their physical consumer-ready form on the basis of mathematical models, which stand as the premises of their existence and represent their physical processes.
Barboianu, Catalin
core   +3 more sources

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck   +4 more
wiley   +1 more source

Gender Differences in Problem Gamblers in an Online Gambling Setting

open access: yesPsychology Research and Behavior Management, 2020
Anders Håkansson,1,2 Carolina Widinghoff1,2 1Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Psychiatry, Lund, Sweden; 2Malmö Addiction Center, Region Skåne, Malmö, SwedenCorrespondence: Anders Hå ...
Håkansson A, Widinghoff C
doaj  

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Interactive gambling [PDF]

open access: yes
Summary: One of the most significant changes to the gambling environment in the past 15 years has been the increased availability of interactive or Internet gambling.
Sally Gainsbury
core  

The impact of gambling problems on families [PDF]

open access: yes, 2014
Summarises the available research about how gambling problems affect family relationships and family members, how families cope with gambling problems, and the assessment and therapy options available to the family members of people with gambling ...
Nicki Dowling
core  

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim   +4 more
wiley   +1 more source

Post-COVID gambling habits of adolescents and young adults in Aragon, Spain: a cross-sectional study

open access: yesBMC Public Health
Background Gambling has become increasingly normalized in Spain, with 49.3% of the population participating and high engagement among youth, particularly online.
Alberto Barceló-Soler   +8 more
doaj   +1 more source

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