Results 41 to 50 of about 27,765 (261)

Feedforward neural networks for compound signals

open access: yesTheoretical Computer Science, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcin S. Szczuka, Dominik Slezak
openaire   +3 more sources

Toward Mechanical Intelligence in Robotics

open access: yesAdvanced Robotics Research, EarlyView.
Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang   +5 more
wiley   +1 more source

Multilayer Feedforward Neural Network for Internet Traffic Classification.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2020
Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has high uneven distribution of flows ...
N. Manju, B. S. Harish, N. Nagadarshan
doaj   +1 more source

Distributed Micropneumatic Sensors for Soft Robots to Detect Touch and Pose

open access: yesAdvanced Robotics Research, EarlyView.
Soft robots need integrated touch and pose sensing for safe and reliable operation. This work presents a three‐fingered soft gripper with 18 micropneumatic sensors made from the same materials as its pneumatic actuators. By measuring airflow resistance changes in deforming microchannels of the sensors, finger pose and contact are detected, enabling ...
Vilma Lampinen   +3 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

Decoding the Neural Circuit Underlying Context‐Cue Association in Retrieval of Morphine Reward Memory

open access: yesAdvanced Science, EarlyView.
Contextual cues recruit the glutamatergic vCA1–dmPFC pathway to retrieve morphine reward memory by reshaping cell‐type‐specific prefrontal microcircuit activity. Distinct regulation of PV+ and SST+ interneurons defines this hippocampal–prefrontal mechanism.
Zhifeng Shi   +8 more
wiley   +1 more source

RETRACTED ARTICLE: Network security threat detection technology based on EPSO-BP algorithm

open access: yesEURASIP Journal on Information Security
With the development of Internet technology, the large number of network nodes and dynamic structure makes network security detection more complex, which requires the use of a multi-layer feedforward neural network to build a security threat detection ...
Zhu Lan
doaj   +1 more source

Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays

open access: yesFrontiers in Computational Neuroscience, 2014
The control of input-to-output mappings, or gain control, is one of the main strategies used by neural networks for the processing and gating of information.
Jorge F Mejias   +5 more
doaj   +1 more source

Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues

open access: yesAdvanced Science, EarlyView.
Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali   +2 more
wiley   +1 more source

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