Wireless Health Deep Learning

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Wireless body area sensor networks based human activity …

(Just Now) WebBoga, J. & Kumar, V. D. Human activity recognition by wireless body area networks through multi-objective feature selection with deep learning. Expert. Syst. 39 , e12988 (2022).

https://www.nature.com/articles/s41598-024-53069-1

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Internet of things-enabled real-time health monitoring …

(3 days ago) WebThe IoT and deep learning in the healthcare sector prevent diseases by evolving healthcare from face-to-face consultation to telemedicine. the use of …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442525/

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Systematic review of smart health monitoring using deep …

(7 days ago) WebDeep learning and Artificial intelligence play a critical role in analysis of health care data [14]. Many frameworks and proposed architect are available in public …

https://www.sciencedirect.com/science/article/pii/S2772528621000285

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Deep Learning Challenges and Prospects in Wireless …

(Just Now) WebThis paper explores the transformative integration of deep learning applications in the deployment of Wireless Sensor Networks (WSNs). As WSNs …

https://link.springer.com/article/10.1007/s11831-024-10079-6

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SenseFi: A library and benchmark on deep-learning …

(7 days ago) WebTo address these questions, we propose SenseFi, a benchmark and model zoo library for WiFi CSI sensing, using deep learning. To this end, we first introduce the …

https://www.sciencedirect.com/science/article/pii/S2666389923000405

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A Systematic Review of Wi-Fi and Machine Learning …

(3 days ago) WebThese three works face, from different perspectives, the problem of optimizing the quality of service of a wireless network with the help of Machine Learning …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269691/

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Device-Free Wireless Sensing for Human Detection: The …

(4 days ago) WebCurrently, developments in wireless sensing technologies have shown that wireless signals can be employed to transmit information between wireless …

https://ieeexplore.ieee.org/document/9198891

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Sensing to Learn: Deep Learning Based Wireless Sensing …

(2 days ago) WebWireless technologies have achieved a great success in data communications over the past few decades. The ubiquitous availability of wireless …

https://link.springer.com/chapter/10.1007/978-3-030-79763-8_31

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Risk Detection in Wireless Body Sensor Networks for …

(2 days ago) WebIn this paper, the usefulness of hybrid deep learning model for health data classification through hybrid profound learning is increased. WBAN sensor nodes are …

https://link.springer.com/chapter/10.1007/978-981-16-0749-3_54

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Optimization Driven Deep Learning Approach for Health …

(9 days ago) WebOptimization Driven Deep Learning Approach for Health Monitoring and Risk Assessment in Wireless Body Sensor Networks: 10.4018/IJBDCN.2020010105: Wireless body …

https://www.igi-global.com/article/optimization-driven-deep-learning-approach-for-health-monitoring-and-risk-assessment-in-wireless-body-sensor-networks/245782

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Big Data-Based Smart Health Monitoring System: Using Deep …

(6 days ago) WebHuman life has become smarter by utilizing big data, telecommunication technologies, and wearable sensors over pervasive computing to give better healthcare …

https://ieeexplore.ieee.org/document/10286815/

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Modelling of healthcare data analytics using optimal machine …

(4 days ago) WebRecent advances in wireless networking, big data technologies, namely Internet of Things (IoT) 5G networks, health care big data analytics, and other …

https://onlinelibrary.wiley.com/doi/10.1111/exsy.13612

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WiFi-based human activity recognition through wall using deep …

(7 days ago) WebThe current focus of using WiFi Channel State Information (CSI) for human activity recognition (HAR) is the line-of-sight (LoS) path, which is mainly affected by …

https://www.sciencedirect.com/science/article/pii/S0952197623013556

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Ensemble deep learning for Alzheimer’s disease - Nature

(Just Now) WebLately, ensemble deep learning has become popular for enhancing the performance and reliability of Alzheimer’s disease diagnosis. These models combine …

https://www.nature.com/articles/s44220-024-00237-x

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Deep AI Enabled Ubiquitous Wireless Sensing: A Survey

(8 days ago) WebIn this survey, we focus on the evolution of wireless sensing enhanced by deep AI techniques. We first present a general workflow of Wireless Sensing Systems …

https://dl.acm.org/doi/10.1145/3436729

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Wireless body area sensor networks based human activity

(4 days ago) Webrecognition using deep learning Ehab El‑Adawi, Ehab Essa*, Mohamed Handosa & Samir Elmougy* In the healthcare sector, the health status and biological, and physical activity …

https://www.nature.com/articles/s41598-024-53069-1.pdf

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MOBILE & WIRELESS HEALTH - Springer

(8 days ago) WebMOBILE & WIRELESS HEALTH AutoAudio: Deep Learning for Automatic Audiogram Interpretation Matthew G. Crowson1,2 & Jong Wook Lee1 & Amr Hamour1 & Rafid …

https://link.springer.com/content/pdf/10.1007/s10916-020-01627-1.pdf

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[2005.06068] Deep Learning for Wireless Communications - arXiv.org

(2 days ago) WebDeep learning has a strong potential to overcome this challenge via data-driven solutions and improve the performance of wireless systems in utilizing limited …

https://arxiv.org/abs/2005.06068

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Novel Approach towards a Fully Deep Learning-Based IoT Receiver …

(9 days ago) WebAs the Internet of Things (IoT) continues to expand, wireless communication is increasingly widespread across diverse industries and remote devices. This includes …

https://www.mdpi.com/1999-5903/16/5/155

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[2403.03241] A Deep Learning Framework for Wireless Radiation …

(2 days ago) WebWe present NeWRF, a deep learning framework for predicting wireless channels. Wireless channel prediction is a long-standing problem in the wireless …

https://arxiv.org/abs/2403.03241

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Smart wireless health care system using graph LSTM pollution …

(1 days ago) WebApplication in the domain of smart wireless health care system. • Proposed graph Long Short-Term Memory (GLSTM) neural network to predict the air quality …

https://www.sciencedirect.com/science/article/abs/pii/S2210537922000506

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Deep-learning decoding for a noninvasive brain-computer interface

(5 days ago) WebMore information: Dylan Forenzo et al, Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface, PNAS Nexus …

https://medicalxpress.com/news/2024-05-deep-decoding-noninvasive-brain-interface.html

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Virtual reality-empowered deep-learning analysis of brain cells

(Just Now) WebOverall, DELiVR is a robust deep-learning tool that does not require advanced coding skills to analyze whole-brain imaging data in health and disease. …

https://www.nature.com/articles/s41592-024-02245-2

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DeepSig Unveils AI-Native Wireless Breakthroughs

(6 days ago) WebDeepSig is a pioneer in AI-native wireless communications. Its transformative technology pushes the boundaries of wireless performance, spectrum …

https://www.deepsig.ai/breakthroughs-in-ai-native-wireless-communications-at-mwc-2024/

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Hello World from Machine Learning Club

(7 days ago) WebHis topics of interest primarily focus on data science, machine learning, deep learning, and privacy and security, especially for health informatics, social network analysis, and …

https://machinelearningclub.njit.edu/

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home - Wise Hearing

(4 days ago) WebA hearing evaluation provides the necessary results to find proper treatment of various hearing diseases and issues. Hearing health specialists from Wise Hearing use industry …

https://wisehearing.com/

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Toward intelligent wireless communications: Deep learning

(7 days ago) Web1. Introduction. Physical layer technologies are fundamental for the evolution of mobile wireless networks. In the Fifth Generation (5G) of mobile wireless networks, …

https://www.sciencedirect.com/science/article/pii/S2352864821000742

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MIMO-OFDM WIRELESS COMMUNICATIONS WITH MATLAB

(9 days ago) Web1 The Wireless Channel: Propagation and Fading 1 1.1 Large-Scale Fading 4 1.1.1 General Path Loss Model 4 1.1.2 Okumura/Hata Model 8 1.1.3 IEEE 802.16d Model 10 1.2 Small …

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9780470825631.fmatter

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