Results 131 to 140 of about 189,729 (300)
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
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
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
The associations between autistic characteristics and microtransaction spending
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
Managing gaming phenomena in the Tuscan performance evaluation system. [PDF]
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
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‘In the game’? Embodied subjectivity in gaming environments [PDF]
Human-computer interactions are increasingly using more (or all) of the body as a control device. We identify a convergence between everyday bodily actions and activity within digital environments, and a trend towards incorporating natural or mimetic ...
Farrow, Robert, Iacovides, Ioanna
core +1 more source
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
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation
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 relevance and role of gaming machine games and game features on the play of problem gamblers [PDF]
Prepared for the Independent Gambling Authority in South Australia, this report examines aspects of the relationship between gaming machine technology and problem gambling.
Charles Livingstone, Richard Woolley
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The Nevada Gaming Debt Collection Experience [PDF]
In the discussion - The Nevada Gaming Debt Collection Experience - by Larry D. Strate, Assistant Professor, College of Business and Economics at the University of Nevada, Las Vegas, Assistant Professor Strate initially outlines the article by saying ...
Strate, Larry D.
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