Nov 11, 2022 · Targeting this challenge, we propose a novel framework called, IoMT big-data Bayesian-backward deep-encoder learning (IBBD), which mines deep ...
A novel framework called, IoMT big-data Bayesian-backward deep-encoder learning (IBBD), which mines deep autoencoder (AE) configurations for data ...
Mar 15, 2023 · This study therefore can greatly advance efficient IoMT big data streaming with optimal deep learning of sparsification, and can be generalized ...
Abstract— Internet of Medical Things (IoMT) is igniting many emerging smart health applications, by continuously streaming the big data for data-driven ...
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Methods: A three-stage hybrid machine learning framework is proposed for estimating heart-disease-related ECG QRS duration. First, raw heartbeats are recognized ...
@Article {9947014, author = {J. Wong and V. Piuri and F. Scotti and Q. Zhang}, title = {Efficient IoT Big Data Streaming with Deep Learning-enabled ...
Furthermore, the implementation of deep learning facilitates real-time and streaming data analysis, enabling IoT applications to efficiently handle the ...
Processing IoT data near data sources significantly reduces latency and increases data accuracy and bandwidth efficiency [18]- [21] . ...
We start by articulating IoT data characteristics and identifying two major treatments for IoT data from a machine learning perspective, namely IoT big data ...
A thorough overview on using a class of advanced machine learning techniques, namely deep learning (DL), to facilitate the analytics and learning in the IoT ...
IOT/Wearables/BLE Hardware And Firmware Product Development Experts. Smallest ...