Results 61 to 70 of about 276,034 (269)

A short-term forecasting method for photovoltaic power generation based on the TCN-ECANet-GRU hybrid model

open access: yesScientific Reports
Due to the uncertainty of weather conditions and the nonlinearity of high-dimensional data, as well as the need for a continuous and stable power supply to the power system, traditional regression analysis and time series forecasting methods are no ...
Xiuli Xiang   +3 more
semanticscholar   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

open access: yesAdvanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan   +3 more
wiley   +1 more source

Diverticulosis duodenal

open access: yesRevista de la Facultad de Medicina, 1954
La historia de los divertículos del duodeno comienza como una pura curiosidad anatómica (Chomel: 1710; Morgagni: 1761). Es más adelante un hallazgo quirúrgico, y comienzan a ser diagnosticados después de 1912 en el curso de exámenes radiológicos ...
Isaac Gru U.
doaj  

A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences

open access: yesMathematical Biosciences and Engineering, 2021
In this work, Deep Bidirectional Recurrent Neural Networks (BRNNs) models were implemented based on both Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) cells in order to distinguish between genome sequence of SARS-CoV-2 and other Corona ...
Mohanad A. Deif   +4 more
doaj   +1 more source

High-Tech-Gründungen in Deutschland: Optimismus trotz Krise [PDF]

open access: yes, 2009
Unternehmensgru¨ndungen haben in der wirtschaftspolitischen Diskussion einen großen Stellenwert, wird ihnen doch gemeinhin ein wichtiger Beitrag zur Schaffung neuer, zukunftsorientierter Arbeitsplätze unterstellt.
Heger, Diana   +4 more
core  

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

Crane Grus grus

open access: yesAcrocephalus, 2007
On 29 Nov 2007, a flock about 150 Cranes Was observed flying over the city center of osijek (UTM CR14). The Cranes came from baranja in the northeast. The flock soon dispersed over the city, then started circling and rising to a higher altitude. As is was sunny on that day, we could cleary watch the birds through binoculars as well as hear their ...
Jurčević, Ivančica   +1 more
openaire   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin   +4 more
wiley   +1 more source

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

open access: yesAdvanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya   +2 more
wiley   +1 more source

Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN

open access: yesSakarya University Journal of Computer and Information Sciences
Chaotic systems are identified as nonlinear, deterministic dynamic systems that are exhibit sensitive to initial values. Some chaotic equations modeled from daily events involve time information and generate chaotic time series that are sequential data ...
Osman Eldoğan, Gülyeter Öztürk
doaj   +1 more source

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