Results 71 to 80 of about 2,073,215 (262)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
On-Device Anomaly Detection in Conveyor Belt Operations
IEEE Open Journal of Instrumentation and MeasurementConveyor belts are crucial in mining operations by enabling the continuous and efficient movement of bulk materials over long distances, which directly impacts productivity.
Luciano Sebastian Martinez-Rau +3 more
doaj +1 more source
Language Generation with Strictly Proper Scoring Rules
CoRRLanguage generation based on maximum likelihood estimation (MLE) has become the fundamental approach for text generation. Maximum likelihood estimation is typically performed by minimizing the log-likelihood loss, also known as the logarithmic score in statistical decision theory. The logarithmic score is strictly proper in the sense that it encourages
Chenze Shao +3 more
openaire +4 more sources
Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media
Advanced Materials Technologies, EarlyView.Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco +4 more
wiley +1 more source
Jurnal Teknik ITS, 2017 Electric vehicles has become one of alternatives in addressing energy crisis in the field of transportation. Increasing the number of electric vehicles that are not accompanied by a proper charging station management would give negative impact either to ...
Onang Surya Nugroho +2 more
doaj
Experiential Learning And Strictly Proper Scoring Rules [PDF]
2009 Annual Conference & Exposition Proceedings, 2020 Comment: 15 ...
openaire +2 more sources
Advanced Robotics Research, EarlyView.A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
NECESSARY AND SUFFICIENT CONDITIONS FOR DOMINATION RESULTS FOR PROPER SCORING RULES
The Review of Symbolic Logic, 2023 AbstractScoring rules measure the deviation between a forecast, which assigns degrees of confidence to various events, and reality. Strictly proper scoring rules have the property that for any forecast, the mathematical expectation of the score of a forecast p by the lights of p is strictly better than the mathematical expectation of any other forecast
openaire +2 more sources
A Characterization for the Spherical Scoring Rule
decision theory, probability assessment, probability elicitation, proportionality, strictly proper scoring rule, Primary 62C99, Secondary 62A01, 90B50, 91B06, C44, C89,
Victor Jose
core +1 more source
Advanced Robotics Research, EarlyView.An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source