Results 101 to 110 of about 43,950 (178)

Interpretable Active Learning Identifies Iron‐Doped Carbon Dots With High Photothermal Conversion Efficiency for Antitumor Synergistic Therapy

open access: yesAggregate, EarlyView.
On the basis of active learning strategy, we propose an equivalent value—SHapley Additive exPlanations equivalent value—to optimize carbon dots’ photothermal conversion efficiency. Within four iterations, iron‐doped carbon dots are synthesized with the efficiency exceeding 78.7%.
Tianliang Li   +12 more
wiley   +1 more source

Sensorless Human–Robot Interaction: Real‐Time Estimation of Co‐Grasped Object Mass and Human Wrench for Compliant Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
To tackle the challenge of parameter estimation in dynamic human–robot interaction, this research proposes a novel method that integrates a disturbance observer with Kalman filtering. In contrast to conventional techniques, this approach facilitates the simultaneous real‐time estimation of human wrench and object parameters, offering significantly ...
Minghao Bai   +5 more
wiley   +1 more source

iPRISM: Intelligent Predicting Response to Cancer Immunotherapy through Systematic Modeling

open access: yesAdvanced Intelligent Systems, EarlyView.
The Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling (iPRISM) model uses data from genes and immune responses to predict how well cancer patients will respond to immunotherapy. Tested on multiple cancer types, iPRISM shows higher accuracy compared to existing methods.
Yinchun Su   +7 more
wiley   +1 more source

Fairness in Federated Learning: Trends, Challenges, and Opportunities

open access: yesAdvanced Intelligent Systems, EarlyView.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar   +2 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

open access: yesAdvanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel   +7 more
wiley   +1 more source

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