Results 111 to 120 of about 552,282 (301)

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Convolutional Neural Network Committees for Handwritten Character Classification [PDF]

open access: green, 2011
Dan Claudiu Cireşan   +3 more
openalex   +1 more source

Self‐Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications

open access: yesAdvanced Materials, EarlyView.
This study presents a novel design of a neuromorphic pressure sensor that can generate self‐spiking symmetric signals with direct event‐based encoding through the integration of magnetic spheres and alternating coil circuits. The key advantages of this work include high linearity up to 200 kPa (R2 = 0.997), self‐spiking behavior for simplified signal ...
Jingyi Yang   +17 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Mixed Ionic and Electronic Charge Transport in Conductive Protein Fibers Revealed with DC Electrical Measurements

open access: yesAdvanced Materials, EarlyView.
M13 bacteriophage films deposited on micro interdigitated electrodes behave as a Randles simplified equivalent circuit under direct current. We derive contact and film resistance as well as capacitance of films of M13 phages, aromatic curli fibers or pilA‐containing nanowires.
Daniel Modafferi   +6 more
wiley   +1 more source

A hybrid approach of deep learning to forecast financial performance: from unsupervised to supervised

open access: yesSystems Science & Control Engineering
The financial performance of a listed company is a common concern for shareholders, creditors, employees, securities analysts, and the government. Measuring and forecasting financial performance informs stakeholders about a company's overall well-being ...
Jiadong Teng
doaj   +1 more source

Temporally Reconfigurable Reservoir Computing with Flexible Electrolyte‐Gated TFTs for High‐Performance Neuromorphic Processing

open access: yesAdvanced Materials, EarlyView.
A temporally reconfigurable reservoir computing system is developed using ultrathin, flexible, all‐solid‐state electrolyte‐gated thin‐film transistors (UFLEX TFTs). By simply tuning temporal dynamics electrically, the system achieves 93.7% accuracy for MNIST handwritten digits, 90.3% for CIFAR‐10 images, and 81.8% for chest X‐rays, surpassing CNNs in ...
Kang Hyun Lee   +9 more
wiley   +1 more source

Advances in Convolutional Neural Networks

open access: yes, 2020
Deep Learning, also known as deep representation learning, has dramatically improved the performances on a variety of learning tasks and achieved tremendous successes in the past few years. Specifically, artificial neural networks are mainly studied, which mainly include Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs) and Recurrent ...
Hui Zheng, Yanfeng Shu, Jing He, Wen Xu
openaire   +3 more sources

Linear and Symmetric Artificial Synapses Driven by Hydrogen Bonding for Accurate and Reliable Neuromorphic Computing

open access: yesAdvanced Materials, EarlyView.
Hydrogen‐bond‐driven interface engineering enables highly linear and symmetric artificial synapses based on CsPbI3–PVA hybrids. This strategy suppresses trap states and guides directional ion migration, yielding stable optoelectronic plasticity. The devices achieve ultralow power operation and human‐like learning in neuromorphic networks, offering a ...
Min Jong Lee   +10 more
wiley   +1 more source

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