Results 101 to 110 of about 52,085 (312)
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
DEUFormer: High‐precision semantic segmentation for urban remote sensing images
Urban remote sensing image semantic segmentation has a wide range of applications, such as urban planning, resource exploration, intelligent transportation, and other scenarios.
Xinqi Jia +5 more
doaj +1 more source
Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets [PDF]
Christian Schorr +3 more
openalex +1 more source
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks [PDF]
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32x memory saving. In XNOR-Networks, both the filters and the input to convolutional layers are binary.
Rastegari, Mohammad +3 more
openaire +2 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
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
Page Stream Segmentation with Convolutional Neural Nets Combining\n Textual and Visual Features [PDF]
Gregor Wiedemann, Gerhard Heyer
openalex +2 more sources
High precision light field image depth estimation via multi‐region attention enhanced network
Light field (LF) depth estimation is a key task with numerous practical applications. However, achieving high‐precision depth estimation in challenging scenarios, such as occlusions and detailed regions (e.g.
Jie Li +7 more
doaj +1 more source
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
Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network [PDF]
Bo Pan, Wei Zheng
openalex +1 more source
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source

