Results 301 to 310 of about 8,223,685 (372)

Variational Quantum Circuits for Machine Learning. An Application for the Detection of Weak Signals

open access: yesApplied Sciences (Switzerland), 2021
Quantum computing is a new paradigm for a multitude of computing applications. This study presents the technologies that are currently available for the physical implementation of qubits and quantum gates, establishing their main advantages and ...
Israel Griol-Barres   +2 more
exaly   +2 more sources

Review of Weak Signals Detection Methods

IEEE International Conference on Electronic Measurement & Instruments, 2023
In engineering application, the weak signals generated by the system during operation are useful in determining the working status of the system. But such effective signals are usually masked by strong noise, making it difficult to extract useful ...
Min Huang   +4 more
semanticscholar   +1 more source

An analysis of factors affecting selection of organic food: Perception of consumers in China regarding weak signals.

Appetite, 2021
Despite the rapid growth of China's organic food industry during recent years, organic food still accounts for a relatively small share of the country's massive food market.
Chunni Liu, Yan Zheng, D. Cao
semanticscholar   +1 more source

An Improved UKF Algorithm for Extracting Weak Signals Based on RBF Neural Network

IEEE Transactions on Instrumentation and Measurement, 2022
It is difficult to extract effective weak signals from complex noise environment in many engineering applications. To address the problem, an improved unscented Kalman filter (UKF) algorithm based on a radial basis function-neural network (RBF-NN) is ...
Guanyu Zhang   +6 more
semanticscholar   +1 more source

Digital-enabled strategic agility: it’s time we examine the sensing of weak signals

European Journal of Information Systems, 2022
Information Systems research provides significant insight into how information technologies affect the strategic agility of firms. Most research to date has studied the responding element of agility at the expense of sensing. Further, extant research has
A. Pinsonneault, Inmyung Choi
semanticscholar   +1 more source

Recognizing Weak Signals in News Corpora

Lecture Notes in Computer Science, 2023
Daniela Gifu
exaly   +2 more sources

A Novel Iterative PA-MRNet: Multiple Noise Suppression and Weak Signals Recovery for Downhole DAS Data

IEEE Transactions on Geoscience and Remote Sensing, 2022
With the goal of obtaining high-quality downhole distributed acoustic sensing (DAS) data from multiple types of complex noise, denoising plays an important role. However, conventional denoising methods cannot achieve a satisfactory effect toward multiple
Yanan Tian   +4 more
semanticscholar   +1 more source

LoFi: Enabling 2.4GHz LoRa and WiFi Coexistence by Detecting Extremely Weak Signals

IEEE Conference on Computer Communications, 2021
Low-Power Wide Area Networks (LPWANs) emerges as attractive communication technologies to connect the Internet-of-Things. A new LoRa chip has been proposed to pro-vide long range and low power support on 2.4GHz.
Gonglong Chen, Wei Dong, Jiamei Lv
semanticscholar   +1 more source

Weak Signals Detection by Acoustic Metamaterials-Based Sensor

IEEE Sensors Journal, 2021
Weak acoustic signals detection from heavy background noise plays an important role in different research fields. However, the detection limit, namely the detection capability of minimal detectable pressure, of sensitivity still hinders the performance ...
Tinggui Chen   +3 more
semanticscholar   +1 more source

Weak signals: Ansoff today

Futures, 2012
This paper examines the concept of weak signals: its basic idea presented by Igor Ansoff and its later developments. We argue that recent futures studies have essentially deepened the analysis of this concept, which originally lacked an accurate definition.
Holopainen, Mari, Toivonen, Marja
openaire   +4 more sources

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