Results 171 to 180 of about 2,004,297 (387)
Advances in Convolutional Neural Networks
, 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
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
Advanced Materials, EarlyView.This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho +5 more
wiley +1 more source
Advanced Materials, EarlyView.Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen +14 more
wiley +1 more source
Next‐Generation Image Sensors Based on Low‐Dimensional Semiconductor Materials
Advanced Materials, EarlyView.Low‐dimensional semiconductor materials are promising candidates for photosensitive components in next‐generation image sensors. This review offers a thorough and timely examination of novel image sensors, covering their working principles, intriguing materials categorized into four main groups, and advanced imaging applications.
Yunxia Hu +3 more
wiley +1 more source
Identification of Leaf Disease Based on Memristor Convolutional Neural Networks
IEEE AccessDeep learning methods based on convolutional neural networks can identify subtle disease features in plant leaves, thereby improving the accuracy and efficiency of plant leaf disease detection.
Nengyuan Pan +3 more
doaj +1 more source
Lower limb motor function assessment based on TensorFlow convolutional neural network and kernel entropy component analysis–local tangent space alignment [PDF]
, 2014 Yan Zhang +3 more
openalex +1 more source
Advanced Materials Interfaces, EarlyView.In this work, wide‐field (>1 mm2) frequency‐domain thermoreflectance (FDTR) hyperspectral imaging is used to image subsurface indium bump bonds 50 µm below the surface. Thermal analysis with Monte Carlo uncertainty propagation is used to evaluate bump quality, while a trained deep neural network (can rapidly reconstruct bump geometry contact area maps.
Amun Jarzembski +10 more
wiley +1 more source
Convolutional Neural Networks for Distant Speech Recognition [PDF]
, 2014 Paweł Świętojański +2 more
openalex +1 more source
Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design
Advanced Materials Technologies, EarlyView.Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo +6 more
wiley +1 more source
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
Advanced Materials Technologies, EarlyView.A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng +2 more
wiley +1 more source