Results 121 to 130 of about 151,311 (270)
Understanding Team Collapse via Probabilistic Graphical Models
In this work, we develop a graphical model to capture team dynamics. We analyze the model and show how to learn its parameters from data. Using our model we study the phenomenon of team collapse from a computational perspective. We use simulations and real-world experiments to find the main causes of team collapse.
Iasonas Nikolaou +2 more
openaire +2 more sources
Sputtered WS2 films were investigated in terms of their S‐ and O‐concentration depending on deposition power and pre‐sputter time. Chemical and structural investigations were done using EDS, TEM, SEM, AFM, XRD. In general, 20 W films exhibit a wide variation in stoichiometry and structure whereas 80 W films demonstrate a higher S/W ratio than 20 W ...
Theresa Scheler +4 more
wiley +1 more source
Machine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in understanding health outcomes.
Maria Teresa Filigheddu +6 more
doaj +1 more source
Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber +4 more
wiley +1 more source
Lead‐free bismuth halide perovskite memristors exhibit stable low‐voltage resistive switching behavior. The conductance‐activated quasi‐linear memristor model quantitatively reproduces the experimental hysteresis, confirming ion migration‐driven filament dynamics.
So‐Yeon Kim +4 more
wiley +1 more source
Probabilistic Graphical Models in RapidMiner
This Report describes the technical background and usage of the GraphMod plug-in for RapidMiner. The plug-in enables RapidMiner to load factor graphs and interpret Label and Attributes which are contained in an Example as assignments to random variables.
openaire +3 more sources
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco +5 more
wiley +1 more source
Micro Elastofluidics for Tuneable Droplet Merging
This technical paper provides a proof of concept of fully flexible and stretchable microfluidic technology for tuneable droplet mixing and merging. The phenomenon is justified through theoretical, numerical and experimental studies. ABSTRACT Droplet microfluidics enables precise handling of discrete fluid volumes at the microscale, with broad ...
Uditha Roshan +8 more
wiley +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source

