Results 81 to 90 of about 21,033 (209)

Siamese Graph Neural Networks for Data Integration

, 2020
Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automation. Recent development in machine learning and in particular deep learning has opened the way to more general and more efficient solutions to data integration problems.
Krivosheev, Evgeny, Atzeni, Mattia, Mirylenka, Katsiaryna, Scotton, Paolo, Casati, Fabio   +4 more
openaire   +2 more sources

The Rise of Human–Computer Integration in Marketing: A Theory Synthesis

Psychology &Marketing, EarlyView.
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco, Kosuke Motoki, Olivia Petit, Aram Nikolai Andersen, Marzieh Alaei, Anders Gustafsson   +5 more
wiley   +1 more source

Building Damage Assessment Using Feature Concatenated Siamese Neural Network

IEEE Access
Fast and accurate post-earthquake building damage assessment is an important task to do to define search and rescue procedures. Many approaches have been proposed to automate this process by using artificial intelligence, some of which use handcrafted ...
Mgs M. Luthfi Ramadhan, Grafika Jati, Wisnu Jatmiko   +2 more
doaj   +1 more source

Perspective: Depression in Persons with Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Depression is a prevalent and disabling syndrome characterized by sustained sadness and/or anhedonia, as well as cognitive and physical symptoms. In Parkinson's disease (PD), depression is both common and clinically challenging due to overlapping symptoms and complex etiologic interactions. Major depressive disorder occurs in approximately 17%
Albert F.G. Leentjens, Gregory M. Pontone   +1 more
wiley   +1 more source

Exercise, exerkines, and muscle–brain crosstalk in Parkinson's disease

Neuroprotection, EarlyView.
Abstract Parkinson's disease (PD) is a progressive neurodegenerative disorder with motor and non‐motor symptoms, driven by dopaminergic loss and α‐synuclein accumulation. Beyond neurodegeneration, growing evidence highlights skeletal muscle health as a key determinant of prognosis, with sarcopenia and frailty contributing to greater disability, fall ...
Salomón Páez‐García, Edgar Alvarado, Alejandro Cuevas, Laura Valverde, Eduardo Salinas, Kevin O'Hara‐Veintimilla, María Cruz Rodríguez‐Oroz, Miguel Germán Borda   +7 more
wiley   +1 more source

A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images

Frontiers in Endocrinology
ObjectiveTo develop and validate an artificial intelligence diagnostic model based on fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type 2 Diabetes Mellitus (T2DM).MethodsIn total, 1236 patients with T2DM who had ...
AJuan Gong, Wanjin Fu, Heng Li, Na Guo, Tianrong Pan   +4 more
doaj   +1 more source

Exploring Linalool‐Based Phytotherapy for Excitatory/Inhibitory Imbalance in Alzheimer's Disease: A Review of Lavender and Cannabis Therapeutic Effects on Sleep, Seizures, and Cognition

Phytotherapy Research, EarlyView.
Schematic overview of the proposed neuromodulatory actions of linalool in Alzheimer's disease. Through multi‐target effects on oxidative stress, amyloid aggregation, GABAergic and glutamatergic signaling, linalool may restore excitatory/inhibitory balance.
Ilaria Piccialli, Giovanni Roviello, Giorgia Magliocca, Emilia Esposito, Anna Pannaccione   +4 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Context-flexible cartography with Siamese topological neural networks

Discover Artificial Intelligence
Cartography is a technique for creating maps, which are graphical representations of spatial information. Traditional cartography involves the creation of geographical data, such as locations of countries, geographical features of mountains, rivers, and ...
Pitoyo Hartono
doaj   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source