Predicting Destinations by Nearest Neighbor Search on Training Vessel Routes
, 2018 The DEBS Grand Challenge 2018 is set in the context of maritime route prediction. Vessel routes are modeled as streams of Automatic Identification System (AIS) data points selected from real-world tracking data.
Amariei, Ciprian +3 more
core +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data. [PDF]
Sensors (Basel), 2023 Syed MAB, Ahmed I.
europepmc +1 more source
Development of a vehicle robotic driver with intelligent control system modelling for automated standard driving-cycle tests [PDF]
, 2019 New road vehicles are required to undergo several specific tests to meet the requirement set by governing bodies in various markets. These tests are often carried out over specific driving-cycles.
Mohammed Mahdi, Ammar Abdo
core
Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz +11 more
wiley +1 more source
An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network. [PDF]
Front Plant Sci, 2022 Qiu RZ +7 more
europepmc +1 more source
Robust language recognition via adaptive language factor extraction [PDF]
, 2014 This paper presents a technique to adapt an acoustically based language classifier to the background conditions and speaker accents. This adaptation improves language classification on a broad spectrum of TV broadcasts. The core of the system consists of
Demuynck, Kris +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
The Application of Automatic Identification System Information and PSO-LSTM Neural Network in CRI Prediction. [PDF]
Comput Intell Neurosci, 2022 Zhou W, Li Y, Xiao Y, Zheng J.
europepmc +1 more source
RFID-based real-time smart waste management system
, 2007 In an environmental context, the use of RFID (radio frequency identification) and load cell sensor technology can be employed for not only bringing down waste management costs, but also to facilitate automating and streamlining waste (e.g., garbage ...
Chowdhury, Belal, Chowdhury, Morshed
core +1 more source