Results 161 to 170 of about 58,552 (294)

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

Advanced 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, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source

Greater impulsivity is associated with a reduced propensity to cash out of bets. [PDF]

Addict Behav Rep
Ngieng OG, Albertella L, Hayes T, Verdejo-Garcia A, Walasek L, Ludvig EA, Bennett D.   +6 more
europepmc   +1 more source

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

Advanced 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, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Relationship between Cryptocurrency Trading, Hopelessness, and Financial Well-Being: A Cross-Sectional Study Among Physicians. [PDF]

Med Sci Monit
Dönmezdil S, Uyar B.
europepmc   +1 more source

Measuring pathological gambling in children: The case of the U.K. [PDF]

, 1993

openalex   +1 more source

Learning Optimal Crowd Evacuation from Scratch Through Self‐Play

Advanced Intelligent Systems, EarlyView.
How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri, Malte Cordts, Heinz Koeppl, Benno Liebchen   +3 more
wiley   +1 more source

Personalized Feedback Interventions for Indicated Prevention of Gambling Disorder: A Systematic Review and Meta-Analysis. [PDF]

J Gambl Stud
Smith EH, Free BL, Ginley MK, Whelan JP, Pfund RA.   +4 more
europepmc   +1 more source

The gamblers of the future? Migration from loot boxes to gambling in a longitudinal study of young adults

, 2022
Gabriel A. Brooks, Luke Clark
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced 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, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Links Between Gambling and Academic Performance Among Undergraduate College Students: A Scoping Review. [PDF]

J Gambl Stud
Allen HK, Knight T, Hall B, Dennis M.
europepmc   +1 more source