An energy-efficient data collection scheme using denoising autoencoder in wireless sensor networks
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TLDR
The proposed Data Collection scheme based on Denoising Autoencoder (DCDA) results in a higher data compression rate, lower energy consumption, more accurate data reconstruction, and faster data reconstruction speed.About:
This article is published in Tsinghua Science & Technology.The article was published on 2019-02-01 and is currently open access. It has received 54 citations till now. The article focuses on the topics: Data collection & Wireless sensor network.read more
Citations
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Energy-Efficient UAV-Enabled Data Collection via Wireless Charging: A Reinforcement Learning Approach
TL;DR: In this article, the authors proposed a reinforcement learning-based approach to plan the route of UAV to collect sensor data from sensor devices scattered in the physical environment, and formulated the problem of data collection with UAV as a Markov decision problem, and exploited $Q$ -learning to find the optimal policy.
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Diabetes prediction model based on an enhanced deep neural network
TL;DR: The proposed DLPD (Deep Learning for Predicting Diabetes) model is mainly built using the hidden layers of a deep neural network and uses dropout regularization to prevent overfitting and shows effectiveness and adequacy in the experimental results.
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A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs
TL;DR: In this paper , a hesitant fuzzy-based technology selection framework is proposed to determine the most suitable industry 4.0 technology for sustainable supply chain finance in MSMEs, which can improve the efficiency and performance of small and medium enterprises (SMEs).
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Machine Learning for Advanced Wireless Sensor Networks: A Review
TL;DR: In this review, recent developments of ML techniques for WSNs are presented with much emphasis on DL techniques, and it is found that large training time and large dataset to get acceptable performance are accompanied with large energy consumption which is not favorable for resource-restrained W SNs.
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Research on trust mechanism of cooperation innovation with big data processing based on blockchain
TL;DR: Wang et al. as mentioned in this paper proposed a blockchain in the education sector to build individual science credit data, creating an intelligent education Taobao platform, developing a degree certificate system, and building a new ecology of open educational resources.
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