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Precise WiFi Indoor Positioning using Deep Learning Algorithms
This study demonstrates a WiFi indoor positioning system using Deep Learning algorithms.
A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition
Therefore, our aim is to find a reliable and efficient emotion recognition scheme, which can be used for non-behavior-based emotion recognition in real-time.
Energy Efficiency Optimization of Intelligent Reflective Surface-assisted Terahertz-RSMA System
This paper examines the energy efficiency optimization problem of intelligent reflective surface (IRS)-assisted multi-user rate division multiple access (RSMA) downlink systems under terahertz propagation.
Micro-Vibration Modes Reconstruction Based on Micro-Doppler Coincidence Imaging
To reconstruct the spatial distribution of micro vibrations, this paper proposes a new method based on a coincidence imaging system.
Feature Extraction, Modulation and Recognition of Mixed Signal Based on SVM
This paper introduces likelihood-based and feature-based modulation recognition methods.
Smart Mat Used for Prevention of Hospital-Acquired Pressure Injuries
We use Velostat as a force sensor resistance (FSR) to construct a sensor matrix over the mat to receive the pressure distribution of the patient's body, and then upload the processed distribution information to the PC for data visualization through Arduino.
A Dynamic Subarray Structure in Reconfigurable Intelligent Surfaces for TeraHertz Communication Systems
In this study, we propose a dynamic RIS subarray structure to improve the performance of a THz MIMO communication system.
Design of an embedded system with on-demand image capturing and transmission for remote agricultural monitoring
The ability to visually verify some element of a remotely controlled agricultural automation system through a photograph is valuable in many cases, not only in the operational phase of the system, but especially in the design and implementation phases.
Modulation and Classification of Mixed Signals Based on Deep Learning
Second, we investigate some deep learning models based on CNN (ResNet34, hierarchical structure) and other deep learning models (LSTM, CLDNN).
AI Based Digital Twin Model for Cattle Caring
The digital twins model developed in this work can be used to monitor the health of cattle
Precise Indoor Positioning Based on UWB and Deep Learning
We examined UWB-based indoor location in conjunction with a fingerprint technique in this work.
Machine Learning aided Precise Indoor Positioning
This study describes a UWB and Machine Learning (ML)-based indoor positioning system.
Design of an Internet of Things System for Smart Hospitals
With the fast advancement of smart devices and Internet of Things (IoT) technologies, certain established situations are opening up new avenues of exploration.
Emotion Recognition using Machine Learning and ECG signals
Various emotions can produce variations in electrocardiograph (ECG) signals, distinct emotions can be distinguished by different changes in ECG signals.
Human Biometric Signals Monitoring based on WiFi Channel State Information using Deep Learning
This system overall accuracy for the heart and respiration rate estimation can reach 99. 109% and 98. 581%, respectively.
Significant Low-dimensional Spectral-temporal Features for Seizure Detection
Seizure onset detection in electroencephalography (EEG) signals is a challenging task due to the non-stereotyped seizure activities as well as their stochastic and non-stationary characteristics in nature.
Hybrid 3D Beamforming Relying on Sensor-Based Training and Channel Estimation for Reconfigurable Intelligent Surface Aided TeraHertz MIMO systems
Moreover, the conditions of maintaining the orthogonality of the RIS-aided THz channel are derived in support of spatial multiplexing.
Negative-ResNet: Noisy Ambulatory Electrocardiogram Signal Classification Scheme
With recently successful applications of deep learning in computer vision and general signal processing, deep learning has shown many unique advantages in medical signal processing.
A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular Disease Detection
Cardiovascular disease has become one of the most significant threats endangering human life and health.
Federated Learning for Smart Healthcare: A Survey
Recent advances in communication technologies and Internet-of-Medical-Things have transformed smart healthcare enabled by artificial intelligence (AI).
When Machine Learning Meets Privacy: A Survey and Outlook
The newly emerged machine learning (e. g. deep learning) methods have become a strong driving force to revolutionize a wide range of industries, such as smart healthcare, financial technology, and surveillance systems.
Privacy Preserving Location Data Publishing: A Machine Learning Approach
By introducing a new formulation of the problem, we are able to apply machine learning algorithms for clustering the trajectories and propose to use $k$-means algorithm for this purpose.
Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model
In this paper, we incorporate a new type of side information based on consecutive location changes of users and propose a new metric called transition-entropy to investigate the location privacy preservation, followed by two algorithms to improve the transition-entropy for a given dummy generation algorithm.
