Results 91 to 100 of about 17,110 (213)
Clinical Relevance of ‘Cap’ and ‘Track’ Development after Recent Small Subcortical Infarct
Objective After a recent small subcortical infarct (RSSI), some patients develop perilesional or remote hyperintensities (‘caps/tracks’) to the index infarct on T2/FLAIR MRI. However, their clinical relevance remains unclear. We investigated the clinicoradiological correlates of ‘caps/tracks’, and their impact on long‐term outcomes following RSSI ...
Yajun Cheng +63 more
wiley +1 more source
Geolocation of Devices in Low-Power Wide-Area LoRa Network
This article is focused on the geolocation possibilities in low-power deployments. A novel Logarithmic Distance Path Loss Model with a Memory (LDPL-M) algorithm is proposed to enhance the accuracy of determining the location of end devices.
Ladislav Zemko +4 more
doaj +1 more source
Abstract Coastal wetlands such as mangroves have a great potential in sequestering blue carbon and mitigating future climate change. Yet, these wetlands are being increasingly converted to aquaculture ponds, which could trigger a pulse emission of greenhouse gases (GHGs) from existing carbon stocks, a loss of opportunity for future carbon sequestration
Jiangong Liu +2 more
wiley +1 more source
Underground RSSI positioning method based on multi-stage denoising and dual-branch temporal network
The underground Received Signal Strength Indicator (RSSI) signal exhibits non-stationary characteristics such as sharp spikes, high-frequency jitter, and trend drift under the influence of multipath propagation, occlusion, and electromagnetic ...
FENG Ziyang +6 more
doaj +1 more source
Inferring Motion and Location Using WLAN RSSI
We present novel algorithms to infer movement by making use of inherent fluctuations in the received signal strengths from existing WLAN infrastructure. We evaluate the performance of the presented algorithms based on classification metrics such as recall and precision using annotated traces obtained over twelve hours effectively from different types ...
Kavitha Muthukrishnan, K. +2 more
openaire +2 more sources
RSSI prediction using Machine Learning models
In this study, we present a method to predict the Received signal strength indication (RSSI) in an area of the base station. Traditional attenuated wave propagation models are often time consuming as well as computationally complex, depending on the unique factors of the medium. This study focuses on providing a solution to predict signal quality using
Le, Tung Giang +3 more
openaire +2 more sources
Fingerprinting‐Based Indoor Localization in a 3 × 3 Meter Grid Using OFDM Signals at Sub‐6 GHz
ABSTRACT Accurately determining the indoor location of mobile devices has garnered significant interest due to the complex challenges posed by non‐line‐of‐sight (NLOS) propagation and multipath effects. To address this challenge, this paper proposes a new approach to indoor positioning that utilises channel state information (CSI) and machine learning (
Jaspreet Kaur +6 more
wiley +1 more source
GPS-based positioning faces significant challenges in accuracy and reliability, especially due to environmental factors such as signal interruptions, multi-path propagation, and poor satellite visibility.
Nihat Daldal, Muhammad Zaib
doaj +1 more source
ABSTRACT Aim This study aimed to examine microvascular lesions and neurodegenerative changes in diabetic retinopathy (DR) compared to type 2 diabetes mellitus (T2DM) without DR (NDR) using structural MRI and to explore their associations with DR. Methods 243 patients with NDR and 122 patients with DR were included.
Xinyi Shen +9 more
wiley +1 more source
Dual-mode Antenna Tracking System for Rocket Launch Applications
Rocket launches are complex events that require tracking antennas to maintain a communication link. This study introduces a hybrid tracking strategy that combines manual and program modes by utilizing a predetermined trajectory of the rocket.
Muh. Fakhri +6 more
doaj +1 more source

