Results 141 to 150 of about 796,344 (261)

Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen   +4 more
wiley   +1 more source

Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
Tiling robotics is a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. Various reconfiguration‐enabling and locomotion mechanisms of tiling robots are comparatively analyzed, with the electromechanical developments, along with a proposed ...
S. M. Bhagya P. Samarakoon   +2 more
wiley   +1 more source

A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption

open access: yesAdvanced Intelligent Systems, EarlyView.
This research presents a homomorphic encryption‐based solution to enhance privacy in carpooling without compromising functionality. Rigorous experiments confirm its robustness, accuracy, and efficiency in securely matching users while preserving confidentiality.
David Palma   +3 more
wiley   +1 more source

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

open access: yesAdvanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang   +12 more
wiley   +1 more source

Computer Vision for Substrate Detection in High‐Throughput Biomaterial Screens Using Bright‐Field Microscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
It is known that biomaterial properties (e.g., shape, chemistry) direct how the body reacts to implanted materials. However, what features cause specific responses is not well known. High‐throughput screening can identify instructive properties, but manual feature segmentation in large brightfield image datasets limits discovery.
Robert Owen   +10 more
wiley   +1 more source

GelLight: Illumination Design, Modeling, and Optimization for Camera‐Based Tactile Sensor

open access: yesAdvanced Intelligent Systems, EarlyView.
A systematic modeling and optimization method for camera‐based tactile sensor illumination is proposed, which significantly improves the tactile performance and achieves high geometry reconstruction accuracy. The performance is validated by intensive simulation and real‐world experiments.
Jieji Ren   +7 more
wiley   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li   +7 more
wiley   +1 more source

Multistable Physical Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran   +3 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

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