Results 51 to 60 of about 35,156 (275)

A Man in the Spotlight: Oleg Penkovsky and His Allegiance to the West [PDF]

Annals of the "Ovidius" University of Constanţa. Political Science Series, 2021
Prior to the 1962 Cuban Missile Crisis, a GRU officer named Oleg Penkovsky attempted to contact the West multiple times. He did it to such an extent that initially he was regarded as a provocateur.
Alin DREPTATE
doaj  

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

A High‐Current‐Tolerant Multimetallic Phosphide Electrode for Alkaline Water Electrolysis Toward Industrial Conditions

Advanced Science, EarlyView.
A phosphide‐modified multimetallic HER electrode achieves industrial‐level performance with minimal noble‐metal content. It delivers 1.7 A cm−2 at 2.0 V in 6 M KOH at 70°C and operates stably for over 200 h at 500 mA cm−2. Phosphorus tuning of the electronic structure optimizes hydrogen adsorption, offering a durable, high‐rate pathway for alkaline ...
Yang Li, Chunling Lu, Biao Wang, Dongchao Qiu, Bingbing Niu, Tao Feng   +5 more
wiley   +1 more source

Flyways of Common Cranes Grus grus breeding in Fennoscandia [PDF]

Ornis Svecica
Knowledge of migration patterns plays an essential role for understanding spatiotemporal distribution of birds. Here we used >15,000 sightings of 1,473 colour-ringed Common Cranes Grus grus to study migration patterns of birds breeding in five regions along a longitudinal gradient of Fennoscandia. Our results confirm that Fennoscandian cranes mainly
Per Hansson, Lovisa Nilsson, Sigvard Lundgren, Ulf Skyllberg, Jostein Sandvik, Johan Månsson   +5 more
openaire   +2 more sources

Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti, Dian Candra Rini Novitasari, Nanang Widodo, Moh. Hafiyusholeh, Wika Dianita Utami   +4 more
doaj   +1 more source

Unemployment rate forecasting: LSTM-GRU hybrid approach [PDF]

, 2023
Unemployment rates provide information on the economic development of countries. Unemployment is not only an economic problem but also a social one. As such, unemployment rates are important for governments and policy makers.
Mustafa Yurtsever, YURTSEVER, MUSTAFA
core   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

KRİPTO PARA FİYATLARININ LSTM VE GRU MODELLERİ İLE TAHMİNİ

Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2023
Yakın geçmişte hayatımıza giren ve kısa zamanda finansal piyasalarda kendisine yer bulan kripto paralar, hem bir değişim aracı hem de bir yatırım aracı olarak kullanılmaktadır.
Meltem Karaatlı, Esranur Demirci
doaj   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source