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

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

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...

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

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...

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

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....

the Earthquake Network application installed are nodes of the sensor network of the Earthquake Network project. When a smartphone is not in use and is connected...

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

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

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

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

An oxygen sensor (or lambda sensor, where lambda refers to air–fuel equivalence ratio, usually denoted by λ) or probe or sond, is an electronic device...

Articulated body pose estimation in computer vision is the study of algorithms and systems that recover the pose of an articulated body, which consists...

PMID 23974152. F. Foukalas and T. Khattab, "To Relay or Not to Relay in Cognitive Radio Sensor Networks." IEEE Transactions on Vehicular Technology (vol. 64, no....

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...

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...

recognition, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, visual servoing, 3D scene modeling, and image restoration...

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...

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)...

future sensor networks". IEEE. 22 (4): 70–84. doi:10.1109/MSP.2005.1458289. Zekavat, Reza; Buehrer, R. Michael (2011). Handbook of Position Location: Theory...

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

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...

connected networks, that is, each neuron in one layer is connected to all neurons in the next layer. The "full connectivity" of these networks makes them...

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

be extended using mobile ad hoc networks or mesh networking. Longer-range communications use infrastructure networks. Long-range communications using...

corresponds to each location, requiring an update to the fingerprint database. However, integration with other sensors such as cameras can be used in order to deal...

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

pixels in a detailed image. One limitation of NeRFs is the requirement of knowing accurate camera poses to train the model. Often times, pose estimation methods...

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