Results 111 to 120 of about 10,348,785 (252)
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li +7 more
wiley +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Hyperspectral image classification is a critical task in remote sensing, but existing methods often employ fixed feature fusion strategies, making it difficult to adapt to the data characteristics of different scenarios.
Xianjian Shi +4 more
doaj +1 more source
An adaptive fusion of composite attention convolutional neural network for polyp image segmentation
BackgroundAccurate localization and segmentation of polyp lesions in colonoscopic images are crucial for the early diagnosis of colorectal cancer and treatment planning. However, endoscopic imaging is often affected by noise interference.
Bojiao Jin +4 more
doaj +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Human Action Recognition Based on 3D Convolution and Multi-Attention Transformer
To address the limitations of traditional two-stream networks, such as inadequate spatiotemporal information fusion, limited feature diversity, and insufficient accuracy, we propose an improved two-stream network for human action recognition based on ...
Minghua Liu +4 more
doaj +1 more source
Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion
Rapid advancements in remote sensing (RS) imaging technology have heightened the demand for the precise and efficient interpretation of large-scale, high-resolution RS images. Although segmentation algorithms based on convolutional neural networks (CNNs)
Lixia Yang +4 more
core +1 more source
Donor‐Engineered Chiral Indium–Salen Complexes for Tunable Circularly Polarized Luminescence
Chiral indium–salen complexes bearing electronically and structurally diverse donor substituents are presented as modular main‐group luminophores exhibiting tunable blue‐to‐green circularly polarized luminescence. Donor engineering systematically controls frontier‐orbital distribution, intraligand charge transfer, and excited‐state relaxation ...
Haein Kim +14 more
wiley +1 more source
Underwater object detection in riverine, lacustrine, and urban shoreline engineering environments is fundamentally constrained by degraded visual features and severe scale variation.
Yijin Gang, Tao Li, Sumin Li, Yizi Shang
doaj +1 more source
Photovoltaic Decomposition Method Based on Multi-Scale Modeling and Multi-Feature Fusion
Deep learning-based Non-Intrusive Load Monitoring (NILM) methods have been widely applied to residential load identification. However, photovoltaic (PV) loads exhibit strong non-stationarity, high dependence on weather conditions, and strong coupling ...
Huahui Zhang +7 more
core +1 more source

