Location estimation in wireless sensor networks is the problem of estimating the location of an object from a set of noisy measurements. These measurements...

overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks". Wireless Networks. 22 (1): 135–157. doi:10.1007/s11276-015-0960-x...

Wireless Sensor Networks. BoD – Books on Demand. p. 241. ISBN 978-953-307-082-7. Lui, Gough; Gallagher, Thomas; Binghao, Li (2011). Differences in RSSI readings...

disparity measurement. Optical flow can be estimated in a number of ways. Broadly, optical flow estimation approaches can be divided into machine learning...

regression Location estimation – redirects to Location parameter Location estimation in sensor networks Location parameter Location test Location-scale family...

comparison of indoor location technologies". Proceedings of the 14th International Conference on Information Processing in Sensor Networks. pp. 178–189. doi:10...

An oxygen sensor is an electronic component that detects the concentration of oxygen molecules in the air or a gas matrix such as in a combustion engine...

approaches. Landmarks are uniquely identifiable objects in the world which location can be estimated by a sensor, such as Wi-Fi access points or radio beacons....

including: Closed-circuit television (CCTVs) Visual sensor network (Also referred to as Camera Networks) Camera phone Smart homes Different forms of technologies...

Wi-Fi or mobile phone network. The Wemo Motion Sensor can be placed anywhere, as long as it can access the same Wi-Fi network as the Wemo devices it...

Consumption Analysis of LPWAN Technologies and Lifetime Estimation for IoT Application". Sensors (Basel, Switzerland). 20 (17): 4794. Bibcode:2020Senso...

In computer vision, articulated body pose estimation is the task of algorithmically determining the pose of a body composed of connected parts (joints...

Oceanography Soil mapping Wireless sensor networks The data from the different sensing technologies can be combined in intelligent ways to determine the...

prior knowledge about the geometry of the sensor array to perform the estimation task. Array processing is used in radar, sonar, seismic exploration, anti-jamming...

Brox, Thomas (2016). "FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks". arXiv:1612.01925 [cs.CV]. Jiao, Licheng; Zhang, Fan; Liu,...

flashes. There are a few small area networks (such as Kennedy Space Center's LDAR network, one of whose sensors is pictured at the top of this article)...

technology is via gas sensor array instruments capable of detecting, identifying, and measuring volatile compounds. However, a critical element in the development...

microphone), location (through the GPS), movement (through the accelerometer), and more. These sensors can collect vast quantities of data that are useful in a variety...

sound source using only two microphones. In order to estimate the location of a source in 3D space, two line sensor arrays can be placed horizontally and...

distributions. Kalman filtering has been used successfully in multi-sensor fusion, and distributed sensor networks to develop distributed or consensus Kalman filtering...

have increased in performance and reliability over the years, drones have begun to use mobile networks for communication. Mobile networks can be used for...

shared-medium networks. TSCH is used by Low-Power devices to communicate using a wireless link. It is designed for low-power and lossy networks (LLNs) and...

Access Networks (DySPAN). pp. 1–10. doi:10.1109/DySPAN.2018.8610487. ISBN 978-1-5386-5191-9. Romero, Daniel; Kim, Seung-Jun (2022). "Radio Map Estimation: A...

In computer science and machine learning, cellular neural networks (CNN) or cellular nonlinear networks (CNN) are a parallel computing paradigm similar...

5G/6G networks, and b) developing sensors for robotic systems in the home. Key themes in the Mobile Robotics Lab at McGill in 2023 include sensor-based...

recognition, location estimation and location-based services. Sensor-based activity recognition integrates the emerging area of sensor networks with novel...

zenith) from a ground-based location. The following applies mainly to passive sensors, but has some applicability to active sensors. Typically, there is a...

that results in the estimation of the value of a feature property, and involves application of a specified procedure, such as a sensor, instrument, algorithm...

several forms of causal notation, causal networks are special cases of Bayesian networks. Bayesian networks are ideal for taking an event that occurred...

Australian National University. Despite the fact that in the mentioned experiments the interaction between sensors and computers was implemented with the help of...