Results 121 to 130 of about 53,606 (313)

Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration

Advanced Science, EarlyView.
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow, Jianpeng Zhang, Zehua Peng, Denglin Ye, Binbin Zhang, Jian Li, Wooyoung Park, Chentao Du, Xingcan Huang, Chun Ki Yiu, Yuze Qiu, Jingkun Zhou, Zhenlin Chen, Yuyu Gao, Weibin Zhu, Pengcheng Wu, Guangyao Zhao, Qiang Zhang, Yuan Guo, Zuowei Sun, Zhan Shen, Shuaiqi Ren, Sang Min Won, Jiyu Li, Xinge Yu   +24 more
wiley   +1 more source

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

Frontiers in Computational Neuroscience
Considering biological constraints in artificial neural networks has led to dramatic improvements in performance. Nevertheless, to date, the positivity of long-range signals in the cortex has not been shown to yield improvements.
Mahbod Nouri, David Rotermund, Alberto Garcia-Ortiz, Klaus R. Pawelzik   +3 more
doaj   +1 more source

A multi-dimensional convolutional neural network for automatic covid 19 positive detection from chest x ray images with improved accuracy over CNN [PDF]

Manisha Verma, P Shanmuga Prabha
openalex   +1 more source

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

Advanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal, Yeong‐Her Wang, Sanjay Kumar, Themis Prodromakis   +3 more
wiley   +1 more source

Utilizing Convolutional Neural Networks (CNN) for Persimmon Irrigation Decision-Making: A Case Study in the Gojo Yoshino Region, Nara Prefecture, Japan [PDF]

Atsushi Okayama, Atsushi Yamamoto, Masaomi Kimura, Yutaka Matsuno   +3 more
openalex   +1 more source

Flexible Pressure Sensor With Multi‐Stage Microdome Structure Enabling Ultra‐Wide Linear Range and High Sensitivity for Wearable Applications

Advanced Science, EarlyView.
An MXene‐based flexible piezoresistive sensor featuring a multi‐stage microdome architecture is developed, which simultaneously realizes high sensitivity of 11.57 kPa−1 and an ultra‐broad detection range up to 2500 kPa. When integrated into palm and sole sensor arrays combined with deep learning algorithms, it achieves a recognition accuracy of over 95%
De‐Yu Kong, Kai Wang, Jia‐Nan Ma, Bo‐Ma, Teng‐Teng Gao, Hai‐Wang Zhang, Hong‐Tao Wang, Qiang Li, Hui Gao, Sheng‐Bo Sang   +9 more
wiley   +1 more source

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network

Pattern 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

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN) [PDF]

Jiaming Deng, Zhenglin Chen, Minjiang Chen, Lulu Xu, Jiaqi Yang, Zhendong Luo, Peiwu Qin   +6 more
openalex   +1 more source

CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering

, 2020
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, Shahab S. Band, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Afshin Shoaibi, Abdollah Dehzangi, Hamid Alinejad‐Rokny   +9 more
openalex   +2 more sources