Results 161 to 170 of about 5,401,672 (335)

A systematic review to find link between past psychiatric history and development of long covid

BMC Psychiatry
Background Covid-19 is a pandemic acute infectious disease that emerged in 2019. It is estimated that 10–20% will develop persistent symptoms, known as long Covid or post-Covid syndrome.
Charlotte Bessaguet, Anthony Bonilla, Clément Polin, Aurélie Lacroix, Leslie Cartz-Piver   +4 more
doaj   +1 more source

Memory Matrix Using Ferroelectric Condensers as Bistable Elements [PDF]

, 1955
Charles F. Pulvari
openalex   +1 more source

Memories of Memories [PDF]

Neuron, 2000
openaire   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Drastic enhancement of stable and fast domain wall motion in GdFe nanowires through laser-annealing treatment at wire edges

AIP Advances
One of the key challenges in racetrack memory (RM) technology is achieving stable and high velocities for domain walls (DWs) while maintaining low power consumption. In our study, we propose a novel laser-annealing (LA) process to modify wire edges for a
Mojtaba Mohammadi, Yamato Miyose, Satoshi Sumi, Kenji Tanabe, Hiroyuki Awano   +4 more
doaj   +1 more source

Phase Memory of the Ear : a Proof of the Resonance Hypothesis [PDF]

, 1948
R. J. Pumphrey, T. Gold
openalex   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

In Memory

Human-Wildlife Interactions, 2017
In Memory
doaj   +1 more source

Engineering design of a magnetic-disk random-access memory [PDF]

, 1956
T. Noyes, W. E. Dickinson
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source