Results 41 to 50 of about 17,724 (252)

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

Photothermal CO2 Hydrogenation: Reactions, Mechanisms, and Catalyst Design

Carbon Energy, EarlyView.
Reactions, mechanisms, and catalyst design for photothermal CO2 hydrogenation. ABSTRACT Photothermal CO2 hydrogenation has attracted extensive attention because it provides a green and sustainable approach to fuel and chemicals production. The photothermal catalyst plays a critical role in CO2 conversion through a range of reactions.
Shuai Yan, Yuting Wang, Wenhao Zhao, Jinqiang Zhang, Guangyao Chen, Lei Jiang, Yun Wang, Yingquan Chen, Xiong Zhang, Xianhua Wang, Kuo Zeng, Hongqi Sun, Shuxin Ouyang, Yonggang Yao, Haiping Yang, Hanping Chen   +15 more
wiley   +1 more source

Ru Nanoparticle Supported by Mesoporous SiOx and Pillared Montmorillonite: Suppressing Catalyst Inhibition in Carbon Dioxide Hydrogenation

Chemistry – A European Journal, EarlyView.
Ru nanoparticles confined within mesoporous SiOx‐pillared montmorillonite exhibit exceptional performance for CO2 methanation. The catalyst maintains a high reaction rate even at elevated CO2 conversion while preserving high Ru mass–specific activity, overcoming typical inhibition by H2O and CO observed in conventional supported Ru catalysts.
Seunghwan Jung, Zimu Miao, Yasuhiro Sakamoto, Fuminao Kishimoto, Kazuhiro Takanabe   +4 more
wiley   +1 more source

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

Sakarya 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

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

Deep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang, Leifeng Meng, Qinghu Fan, Ziang Guo, Ting Bao, Pingdong Zhong, Fulin Luo   +6 more
wiley   +1 more source

EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection

Applied Sciences
Spam messages have emerged as a significant issue in digital communication, adversely affecting users’ mental health, personal safety, and network resources.
Yusuf Bilgen, Mahmut Kaya
doaj   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Crane Grus grus

Acrocephalus, 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, Bogdanović, Tomislav   +1 more
openaire   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source