Results 111 to 120 of about 1,166,366 (314)

social networks as a form of synthetic learning environment [PDF]

Проведено аналіз місця соціальних мереж (СМ) у формуванні синтетичного навчального середовища, виділені найбільш поширені моделі інформаційного освітнього середовища, що базується на таксономічній моделі СМ.
Буров, О.Ю.
core  

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

Advanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du, Kaidi Zhang, Liang Wang, Di Zhao, Mengqing Hu, Mingli Li, Ming Zhou, Zhenzhen Wu, Mengyang Dong, Bo Fu, Porun Liu, Yun Wang, Hongxia Wang, Yuantong Gu, Lei Zhang   +14 more
wiley   +1 more source

TC‐GEN: Data‐Driven Tropical Cyclone Downscaling Using Machine Learning‐Based High‐Resolution Weather Model

Journal of Advances in Modeling Earth Systems
Synthetic downscaling of tropical cyclones (TCs) is critically important to estimate the long‐term hazard of rare high‐impact storm events. Existing downscaling approaches rely on statistical or statistical‐deterministic models that are capable of ...
Renzhi Jing, Jianxiong Gao, Yunuo Cai, Dazhi Xi, Yinda Zhang, Yanwei Fu, Kerry Emanuel, Noah S. Diffenbaugh, Eran Bendavid   +8 more
doaj   +1 more source

Fed-DPSDG-WGAN: Differentially Private Synthetic Data Generation for Loan Default Prediction via Federated Wasserstein GAN

IEEE Access
Lenders typically conduct thorough credit checks to mitigate credit default risk before lending money. Proactively predicting loan defaulters has become increasingly important.
Padmaja Ramachandra, Santhi Vaithiyanathan   +1 more
doaj   +1 more source

Human-like compositional learning of visually-grounded concepts using synthetic environments

The compositional structure of language enables humans to decompose complex phrases and map them to novel visual concepts, showcasing flexible intelligence. While several algorithms exhibit compositionality, they fail to elucidate how humans learn to compose concept classes and ground visual cues through trial and error. To investigate this multi-modal
Lin, Zijun, Kumar, M Ganesh, Tan, Cheston   +2 more
openaire   +2 more sources

Energy-Efficient Dynamic Workflow Scheduling in Cloud Environments Using Deep Learning

Italian National Conference on Sensors
Dynamic workflow scheduling in cloud environments is a challenging task due to task dependencies, fluctuating workloads, resource variability, and the need to balance makespan and energy consumption.
Sunera Chandrasiri, D. Meedeniya
semanticscholar   +1 more source

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

Advanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

From Clinic to Computation: Multiscale Bioengineering Strategies for Durable Biological Aortic Valve Replacements

Advanced Functional Materials, EarlyView.
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco, Pierfrancesco Gaziano, Serena Anglese, Simone Morganti, Carlo de Vincentiis, Ferdinando Auricchio, Michele Marino, Michele Conti   +7 more
wiley   +1 more source

Procedural Generation of Synthetic Forest Environments to Train Machine Learning Algorithms

, 2021
O campo de Machine Learning está a evoluir a um ritmo frenético e novas soluções e conceitos estão a ser desenvolvidos todos os dias. Estas descobertas estão principalmente a ser impulsionadas pelo Deep Learning. Os modelos de Deep Learning são inspirados no cérebro humano e apresentam uma estrutura em camadas de neurónios.
openaire   +1 more source