Results 81 to 90 of about 15,536 (307)

Nanoscale Secondary Ion Mass Spectrometry for Quantifying Membrane Fouling: Fouling Layer Structure and Chemical Interaction

Advanced Science, EarlyView.
Nanoscale secondary ion mass spectrometry (Nano SIMS) is established as a powerful analytical tool to visualize and quantify the membrane fouling layers. ABSTRACT Membrane technology has garnered considerable attention for applications in wastewater treatment and resource recovery. Nevertheless, membrane fouling remains a major barrier, yet the lack of
Mengfei Wu, Xinhua Wang, Pin Zhao, Weilong Song, Ming Xie   +4 more
wiley   +1 more source

Comparative Analysis of Image Binarization Algorithms for UAV-Based Soybean Canopy Extraction Across Growth Stages for Image Labelling

Agriculture
The advent of smart farms, enabled by information and communication technologies (ICT) and the Internet of Things (IoT), has improved productivity and sustainable agriculture.
Chi-Yong An, Jinki Park, Chulmin Song
doaj   +1 more source

Document Image Binarization Using Recurrent Neural Networks

, 2018
In the context of document image analysis, image binarization is an important preprocessing step for other document analysis algorithms, but also relevant on its own by improving the readability of images of historical documents.
Lavesson, Niklas, Florian Westphal, Hakan Grahn, Niklas Lavesson, Westphal, Florian, Grahn, Håkan, Grahn, Håkan,, Westphal, Florian,, Lavesson, Niklas,   +8 more
core   +1 more source

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source

Fully Binarized Graph Convolutional Network Accelerator Based on In‐Memory Computing with Resistive Random‐Access Memory

Advanced Intelligent Systems
Artificial intelligence for graph‐structured data has achieved remarkable success in applications such as recommendation systems, social networks, drug discovery, and circuit annotation.
Woyu Zhang, Zhi Li, Xinyuan Zhang, Fei Wang, Shaocong Wang, Ning Lin, Yi Li, Jun Wang, Jinshan Yue, Chunmeng Dou, Xiaoxin Xu, Zhongrui Wang, Dashan Shang   +12 more
doaj   +1 more source

Determination of the roughness of a precision surface by the correlation method of image processing of its microrelief

Физика волновых процессов и радиотехнические системы
Background. Numerous studies have established that the roughness of the microrelief of the working surface of various parts of machines and mechanisms largely determines their operational reliability and durability.
Alexey D. Abramov, Dmitriy S. Klyuev
doaj   +1 more source

Binarizations in random number generation

2016 IEEE International Symposium on Information Theory (ISIT), 2016
Extracting procedures produce unbiased random bits from biased coin flips. Binarizations take inputs from an m-faced dice and produce bit sequences to be fed into a (binary) extracting procedure to obtain random bits, and this can be done in an entropy-preserving manner, without loss of information. Such a procedure has been proposed by Zhou and Bruck [
openaire   +2 more sources

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

Combinatorial Approach for Data Binarization [PDF]

, 1999
This paper addresses the problem of transforming arbitrary data into binary data. This is intended as preprocessing for a supervised classification task. As a binary mapping compresses the total information of the dataset, the goal here is to design such a mapping that maintains most of the information relevant to the classification problem.
Eddy Mayoraz, Miguel Moreira
openaire   +1 more source

Problems of Corneal Endothelial Image Binarization [PDF]

, 2015
In this paper we present two methods of binarization of corneal endothelial images. The binarization is a first step of advanced image analysis. Images of corneal endothelial obtained by the specular microscopy have a poor dynamic range and they are ...
Gronkowska-Serafin, Jolanta, Piórkowski, Adam, Szostek, Kamil   +2 more
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