Results 141 to 150 of about 73,468 (309)

Deep Learning and Convolutional Neural Networks (CNNs)

open access: yes
Deep Learning (DL), a subfield of Artificial Intelligence (AI) and Machine Learning (ML), has revolutionized computational intelligence by enabling machines to automatically learn hierarchical representations from large datasets. Among the various deep learning architectures, Convolutional Neural Networks have emerged as a dominant framework ...
V. V. Virginia   +4 more
openaire   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

open access: yesAdvanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu   +5 more
wiley   +1 more source

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing

open access: yesAdvanced Science, EarlyView.
A multimodal tactile sensor module that mimics the spatial arrangement and function of Merkel discs and Meissner corpuscles within the human papillary structure operates in a self‐powered manner, responding to both dynamic and static stimuli, achieving tactile perception more similar to human skin.
Jaehyeong Kim   +4 more
wiley   +1 more source

CFAT: Convolutional Fieldy Attention Transformer for Polarimetric SAR Image Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Classification of polarimetric synthetic aperture radar (PolSAR) images is one of the most prominent topics in the field of PolSAR and is crucial for its applications.
Xiandai Cui
doaj   +1 more source

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

open access: yesAdvanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo   +5 more
wiley   +1 more source

Thin‐Film Transistor Based Active Taxel for Multimode Tactile Perception and Fused Processing

open access: yesAdvanced Science, EarlyView.
Skin serves as the largest‐area organ for human and embodied intelligent robots, providing tactile interaction. An active multimode fused (AMF) artificial skin is developed using standard TFT processes, featuring 2T‐1C taxels with optical and electrostatic capacitive receptors for cross‐modal sensing.
Sihao Wu   +13 more
wiley   +1 more source

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network

open access: yesPattern Recognition
In recent years, convolutional neural network has shown good performance in many image processing and computer vision tasks. However, a standard CNN model is not invariant to image rotations. In fact, even slight rotation of an input image will seriously degrade its performance.
Zhao Guoying, Mo Hanlin
openaire   +2 more sources

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

open access: yesAdvanced Science, EarlyView.
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang   +6 more
wiley   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu   +5 more
wiley   +1 more source

Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation [PDF]

open access: yes, 2020
High-resolution segmentations of medical images are imperative for applications such as treatment planning, image fusion or computer-aided surgery. Nevertheless, these are often hard and time-consuming to produce.
Pellicer Valero, Oscar José   +2 more
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