Results 301 to 310 of about 1,286,713 (353)

Compliant Robotics in Space: A Prospective Review of Soft and Deformable Systems for Space Missions

open access: yesAdvanced Intelligent Systems, EarlyView.
Compliant robots are increasingly becoming integral to space exploration due to their adaptability, flexibility, and lightweight design. This article reviews categories such as soft, reconfigurable, and hyper‐redundant robots and their evolving role in enhancing space missions.
Hamed Rahimi Nohooji, Holger Voos
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

Multicluster Distributed Optimization Strategy for Turbine Wake Environment

open access: yesAdvanced Intelligent Systems, EarlyView.
This article studies the wake analysis of wind farms in different aspects, including basic methods, clustering optimization, and wake optimization. Through multiclustering, the wake optimization in a specific wind farm environment is explored. And focusing on the time cost and other issues that need to be solved in practical applications, targeted ...
Zhenping Yu   +5 more
wiley   +1 more source

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem   +5 more
wiley   +1 more source

Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen   +4 more
wiley   +1 more source

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