Results 121 to 130 of about 190,189 (298)

The Pending Determination of the Legality of Internet Gambling in the United States [PDF]

open access: yes, 2003
Internet gambling has been targeted on many fronts in the United States, including Congress, the courts, the Bush Administration and credit card agencies.
Manter, Gregory
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Academic Stress and Nomophobia: Their Impact on Online Gaming Intensity on college students

open access: yesTeraputik: Jurnal Bimbingan dan Konseling
Online gaming is a common problem among adolescents across various countries, often serving as an escape or distraction from academic stress and nomophobia.
Hadia Putri   +2 more
doaj   +1 more source

Responsible gaming and best practice: how can academics help? [PDF]

open access: yes, 2008
The underlying objective of a socially responsible gambling code of conduct is to maximise opportunity and minimise harm. This should also adhere to the established principle of moving forward with caution.
Griffiths, MD, Wood, RTA
core  

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Managing gaming phenomena in the Tuscan performance evaluation system. [PDF]

open access: yes
The problem of gaming in performance evaluation systems is a known phenomenon (Bevan, 2006, Bevan Hood, 2006) that can take place especially when there are economic incentives related to specific targets. In all Tuscan Local Health Authorities (LHAs) and
Anna Bonini   +2 more
core  

Impact of gambling technologies in a multi-media world [PDF]

open access: yes, 2006
In many countries there appears to be a slow shift from gambling being taken out of gambling environments and into the home and the workplace. Historically, what we have witnessed is a shift from destination resorts (such as Las Vegas and Atlantic City ...
Griffiths, MD
core  

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

The associations between autistic characteristics and microtransaction spending

open access: yesScientific Reports
Microtransactions provide optional, virtual, video game goods that, for an additional cost to the player, provide additional game content and alter the gameplay experience.
Tegan Charnock   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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