Results 111 to 120 of about 124,788 (331)
Design of neural networks for classification of remotely sensed imagery [PDF]
Classification accuracies of a backpropagation neural network are discussed and compared with a maximum likelihood classifier (MLC) with multivariate normal class models.
Birmingham, Mark +2 more
core +1 more source
Using neural nets to predict transportation mode choice: Amsterdam network change analysis [PDF]
, 2021 Ruurd Buijs +2 more
openalex +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Few‐label aerial target intention recognition based on self‐supervised contrastive learning
IET Radar, Sonar & NavigationIdentifying the intentions of aerial targets is crucial for air situation understanding and decision making. Deep learning, with its powerful feature learning and representation capability, has become a key means to achieve higher performance in aerial ...
Zihao Song +5 more
doaj +1 more source
Clinical Characteristics and Outcomes of Early‐Onset Versus Late‐Onset LGI1‐Antibody Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Leucine‐rich glioma‐inactivated 1 antibody (LGI1‐Ab) encephalitis predominantly affected older individuals, but has also been reported in younger patients. However, the demographic, clinical, and prognostic characteristics of early‐onset LGI1‐Ab encephalitis have yet to be systematically elucidated. This study aims to systematically
Yu Kong +7 more
wiley +1 more source
Recognition of European mammals and birds in camera trap images using deep neural networks
IET Computer VisionMost machine learning methods for animal recognition in camera trap images are limited to mammal identification and group birds into a single class. Machine learning methods for visually discriminating birds, in turn, cannot discriminate between mammals ...
Daniel Schneider +5 more
doaj +1 more source
Amyotrophic Lateral Sclerosis Prevalence Projection in 2040: A Less Rare Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To project ALS prevalence across multiple countries through 2040, accounting for both population aging and increased survival. Methods Data from the Piemonte and Valle d'Aosta ALS register (PARALS) was used to estimate the trends in incidence and prevalence from 2005 to 2019. Survival trends over this period were also assessed.
Rosario Vasta +18 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Nationwide Survey of Atopic Myelitis and Plexin D1‐Immunoglobulin G‐Related Pain
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To elucidate the features of plexin D1‐immunoglobulin (Ig)G‐associated neuropathic pain and its relationship to atopic myelitis (AM) in a nationwide Japanese survey. Methods A preliminary survey questionnaire was sent to 1574 selected departments (neurology and pediatrics/pediatric neurology) to explore the numbers of AM and plexin ...
Jun‐ichi Kira +10 more
wiley +1 more source
Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams +14 more
wiley +1 more source