Results 211 to 220 of about 4,027,935 (330)

Deep neural networks and stochastic methods for cognitive modeling of rat behavioral dynamics in T -mazes. [PDF]

open access: yesCogn Neurodyn
Turab A   +7 more
europepmc   +1 more source

Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms

open access: yesAdvanced Intelligent Systems, EarlyView.
Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows   +3 more
wiley   +1 more source

Network Applications of Bloom Filters: A Survey

open access: yesInternet Mathematics, 2004
A. Broder, M. Mitzenmacher
semanticscholar   +1 more source

Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang   +3 more
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

open access: yesAdvanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang   +5 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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