Results 61 to 70 of about 221,208 (266)

Wi-Fi Offload: Tragedy of the Commons or Land of Milk and Honey?

open access: yes, 2013
Fueled by its recent success in provisioning on-site wireless Internet access, Wi-Fi is currently perceived as the best positioned technology for pervasive mobile macro network offloading.
Fuxjaeger, Paul   +3 more
core   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

open access: yesAdvanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

A Traffic Information Detection Method at Single Intersection Based on Wi-Fi Data

open access: yesApplied Sciences
Traffic information analysis plays an essential role in urban signalized intersection control. Wi-Fi technology can be used in multiple scenarios. It is effective to use a Wi-Fi data acquisition device to detect traffic information.
Qingmiao Wang, Jinghe Feng, Shuguang Li
doaj   +1 more source

Mobile data offloading: an agent-based modelling study on the effectiveness of Wi-Fi offloading [PDF]

open access: yes, 2015
To reduce the load on cellular networks, offloading to Wi-Fi has long been discussed as a technological solution. Despite advances in scheduling algorithms and incentive schemes, most mobile operators do not actively promote Wi-Fi offloading and most Wi ...
Bouwman, Harry   +3 more
core  

Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach

open access: yesAdvanced Electronic Materials, EarlyView.
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza   +3 more
wiley   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

open access: yesAdvanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang   +4 more
wiley   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio   +3 more
wiley   +1 more source

An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning

open access: yesISPRS International Journal of Geo-Information, 2013
Ubiquitous positioning provides continuous positional information in both indoor and outdoor environments for a wide spectrum of location based service (LBS) applications.
Esmond Mok, Bernard K.S. Cheung
doaj   +1 more source

Tinjauan Yuridis terhadap Tanggung Jawab Pihak Telkom kepada Konsumen Terkait dengan Gangguan Jaringan Internet pada Pemasangan WI-FI (Ditinjau dari Undang-undang ITE dan Undang-undang Perlindungan Konsumen) [PDF]

open access: yes, 2018
In today's life the internet plays an important role in everyday life. As well as for the purposes of seeking work, effort, socializing, or establishing long distance relationship ties.
, Septarina Budiwati, S.H, M.H.,C.N   +1 more
core  

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova   +4 more
wiley   +1 more source

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