Results 171 to 180 of about 279,146 (279)

Use of the Brief Suicide Cognitions Scale as a screening tool to identify latent risk in a gambling clinic sample. [PDF]

Front Psychiatry
Rudd MD, Kratholm O, Whelan JP, Ginley MK, Pérez-Muñoz A, Gleason VL, Tuna B, Tempchin J.   +7 more
europepmc   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

Development of lower-risk guidelines for online sports and race betting in Australia using objective behavioural data. [PDF]

Harm Reduct J
Heirene RM, Chandrakumar D, Fahey G, Huynh ELY, Gainsbury SM.   +4 more
europepmc   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Gambling and its associated factors among students of the University of Ilorin, Nigeria. [PDF]

S Afr J Psychiatr
Oladeji O, Tunde-Ayinmode MF, Kuranga AT, Ogunmodede AJ, Sulyman D.   +4 more
europepmc   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Outpatient psychotherapeutic treatment of gambling disorder - lessons learned from Bavaria. [PDF]

Front Psychiatry
Pitzschel B, Redel R, Tauscher M, Koller G, Gomes de Matos E, Hoch E, Schwarzkopf L.   +6 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Reducing gambling harm through digital self-help intervention: a pilot study in mild to moderate gambling disorder. [PDF]

Harm Reduct J
Nagar M, Gueta K, van Mierlo T.
europepmc   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source