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Found 22 papers, 0 papers with code
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
We propose two novel purpose-built deep learning (DL) models for synthesis of the arterial blood pressure (ABP) waveform in a cuff-less manner, using a single-site photoplethysmography (PPG) signal.
A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology
For biological age prediction, the shallow FFNN again performs the best with a mean absolute error (MAE) of 1. 64.
Vascular Ageing and Smoking Habit Prediction via a Low-Cost Single-Lead ECG Module
For the binary classification problem that aims to differentiate between a smoker and a non-smoker, XGBoost method stands out with an accuracy of 96. 5%.
Pathloss-based non-Line-of-Sight Identification in an Indoor Environment: An Experimental Study
It turns out that the performance of the ML algorithms is only slightly superior to the Neyman-Pearson-based binary hypothesis test (BHT).
Non-Contact Monitoring of Dehydration using RF Data Collected off the Chest and the Hand
Compared to prior work where the reported accuracy is 97. 83%, our proposed non-contact method is slightly inferior (as we report a maximum accuracy of 96. 15%); nevertheless, the advantages of our non-contact dehydration method speak for themselves.
Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio
Specifically, this study investigates the use of Wi-Fi channel state information (CSI) as a novel method of ambient sensing that can be employed as a contactless means of recognizing human activity in indoor environments.
A large-scale multimodal dataset of human speech recognition
The dataset has been validated and has potential for the research of lip reading and multimodal speech recognition.
Reconfigurable Intelligent Surface-Assisted Cross-Layer Authentication for Secure and Efficient Vehicular Communications
Intelligent transportation systems increasingly depend on wireless communication, facilitating real-time vehicular communication.
Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT, and Reinforcement Learning
In this paper, we propose a sustainable scheme to improve the throughput and lifetime of underwater networks, enabling them to potentially operate indefinitely.
Multi-Objective Optimization Approach Using Deep Reinforcement Learning for Energy Efficiency in Heterogeneous Computing System
The growing demand for optimal and low-power energy consumption paradigms for Internet of Things (IoT) devices has garnered significant attention due to their cost-effectiveness, simplicity, and intelligibility.
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing
Non-intrusive load monitoring (NILM) or energy disaggregation aims to extract the load profiles of individual consumer electronic appliances, given an aggregate load profile of the mains of a smart home.
Hand-breathe: Non-Contact Monitoring of Breathing Abnormalities from Hand Palm
In post-covid19 world, radio frequency (RF)-based non-contact methods, e. g., software-defined radios (SDR)-based methods have emerged as promising candidates for intelligent remote sensing of human vitals, and could help in containment of contagious viruses like covid19.
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalised experiences to socialize, work, and play in self-sustaining and hyper-spatio-temporal virtual world(s).
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches
In this survey, we investigate different energy optimization techniques with a top-level classification in terms of the optimization algorithm employed; conventional and machine learning (ML).
Countering Active Attacks on RAFT-based IoT Blockchain Networks
When the IoT network is under the jamming attack, we utilize the stochastic geometry tool to derive the closed-form expressions for the coverage probabilities for both uplink and downlink IoT transmissions.
Design of Flexible Meander Line Antenna for Healthcare for Wireless Medical Body Area Networks
The MMA design shows a bandwidth of up to 1282. 4 (450. 5) MHz and provides gains of 3. 03 (4. 85) dBi in the lower and upper operating bands, respectively, showing omnidirectional radiation patterns in free space.
A Nano-Architecture for Fertility Monitoring via Intra-body Communication
The architecture combines intra-body nano-sensor network for detecting Fallopian tube activity, with body-area network for receiving information from the intra-body network and communicating the same over-the-air to the involved personnel (physician/nurse/patient).
High-Resolution Programmable Scattering for Wireless Coverage Enhancement: An Indoor Field Trial Campaign
This paper presents a multi-bit reconfigurable intelligent surface (RIS) with a high phase resolution, capable of beam-steering in the azimuthal plane at sub-6 Gigahertz (GHz).
Preventing Identity Attacks in RFID Backscatter Communication Systems: A Physical-Layer Approach
This work considers identity attack on a radio-frequency identification (RFID)-based backscatter communication system.
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare
The dataset was used to create a machine learning model, which was used in a developed application to provide a quasi-real-time classification of standing or sitting state.
Securing the Insecure: A First-Line-of-Defense for Nanoscale Communication Systems Operating in THz Band
Nanoscale communication systems operating in Ter-ahertz (THz) band are anticipated to revolutionise the healthcaresystems of the future.
Revolutionizing Future Healthcare using Wireless on the Walls (WoW)
These intelligent surfaces mounted and/or coated on walls aka - Intelligent Walls are planar and active surfaces, which will be a key element in beyond 5G and 6G communication.
