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Wireless Technology

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Human Walking Direction Detection Using Wireless Signals, Machine and Deep Learning Algorithms.

Sensors (Basel, Switzerland)
The use of wireless signals for device-free activity recognition and precise indoor positioning has gained significant popularity recently. By taking advantage of the characteristics of the received signals, it is possible to establish a mapping betw...

A novel and effective method for solving the router nodes placement in wireless mesh networks using reinforcement learning.

PloS one
Router nodes placement (RNP) is an important issue in the design and implementation of wireless mesh networks (WMN). This is known as an P-hard problem, which cannot be solved using conventional algorithms. Consequently, approximate optimization stra...

Efficient cluster-based routing protocol for wireless sensor networks by using collaborative-inspired Harris Hawk optimization and fuzzy logic.

PloS one
In wireless sensor networks, the implementation of clustering and routing protocols has been crucial in prolonging the network's operational duration by conserving energy. However, the challenge persists in efficiently optimizing energy usage to maxi...

IoT-based incubator monitoring and machine learning powered alarm predictions.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Incubators, especially the ones for babies, require continuous monitoring for anomaly detection and taking action when necessary.

The Walking Control of a Crab Biorobot in Amphibious Environment.

Soft robotics
This article describes development of a crab biorobot that is capable of traversing diverse environments including both land and water. We have transformed a living rainbow crab into a walking biorobot by attaching wireless controller. An anatomical ...

Printable and flexible integrated sensing systems for wireless healthcare.

Nanoscale
The rapid development of wearable sensing devices and artificial intelligence has enabled portable and wireless tracking of human health, fulfilling the promise of digitalized healthcare applications. To achieve versatile design and integration of mu...

Critical Analysis of Data Leakage in WiFi CSI-Based Human Action Recognition Using CNNs.

Sensors (Basel, Switzerland)
WiFi Channel State Information (CSI)-based human action recognition using convolutional neural networks (CNNs) has emerged as a promising approach for non-intrusive activity monitoring. However, the integrity and reliability of the reported performan...

Medical Microrobots.

Annual review of biomedical engineering
Scientists around the world have long aimed to produce miniature robots that can be controlled inside the human body to aid doctors in identifying and treating diseases. Such microrobots hold the potential to access hard-to-reach areas of the body th...

Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction.

Network (Bristol, England)
Quantum key distribution (QKD) is a secure communication method that enables two parties to securely exchange a secret key. The secure key rate is a crucial metric for assessing the efficiency and practical viability of a QKD system. There are severa...

Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
STUDY OBJECTIVES: The gold standard for diagnosing obstructive sleep apnea (OSA) is polysomnography (PSG). However, PSG is a time-consuming method with clinical limitations. This study aimed to create a wireless radar framework to screen the likeliho...