Results 31 to 40 of about 87,896 (215)

Super ensemble based streamflow simulation using multi-source remote sensing and ground gauged rainfall data fusion

Heliyon, 2023
Traditional data-driven streamflow predictions usually apply a single model with inconsistent performance in different variability conditions. These days model ensembles or merging the benefits of different models without losing the general character of ...
Eyob Betru Wegayehu, Fiseha Behulu Muluneh   +1 more
doaj  

Protected Chaos in a Topological Lattice

Advanced Science, EarlyView.
Topological and chaotic dynamics are often considered incompatible, with one expected to dominate or disrupt the other. This work reveals that topological localization can persist even under strong chaotic dynamics and, counter‐intuitively, protect chaotic behavior.
Haydar Sahin, Hakan Akgün, Zhuo Bin Siu, S. M. Rafi‐Ul‐Islam, Jian Feng Kong, Mansoor B. A. Jalil, Ching Hua Lee   +6 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network

Meitan kexue jishu
The complex underground environment of coal coalmines, influenced by lighting, coal dust, and water mist, often results in collected images with blurred details and missing textures, leading to decreased image resolution and posing significant ...
Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA   +5 more
doaj   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

Predicting 1-Hour Thrombolysis Effect of r-tPA in Patients With Acute Ischemic Stroke Using Machine Learning Algorithm

Frontiers in Pharmacology, 2022
Background: Thrombolysis with r-tPA is recommended for patients after acute ischemic stroke (AIS) within 4.5 h of symptom onset. However, only a few patients benefit from this therapeutic regimen.
Bin Zhu, Jianlei Zhao, Mingnan Cao, Wanliang Du, Liuqing Yang, Mingliang Su, Yue Tian, Mingfen Wu, Tingxi Wu, Manxia Wang, Xing-hui Zhao, Z. Zhao   +11 more
semanticscholar   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

From Single Sensors to Sensor Arrays: Leveraging Supervised Machine Learning to Read Multiple Soft Capacitive Sensors with a Single Pair of Wires

Advanced Intelligent Systems, EarlyView.
The study presents a method for detecting touch location and force magnitude on soft capacitive sensors without complex electrode patterning. Multifrequency impedance measurements are combined with machine learning to accurately classify five sensing zones and estimate applied force with low error.
Samuel Belk, Samuel Rosset, Iain Anderson, Masoumeh Hesam   +3 more
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Multicluster Distributed Optimization Strategy for Turbine Wake Environment

Advanced Intelligent Systems, EarlyView.
This article studies the wake analysis of wind farms in different aspects, including basic methods, clustering optimization, and wake optimization. Through multiclustering, the wake optimization in a specific wind farm environment is explored. And focusing on the time cost and other issues that need to be solved in practical applications, targeted ...
Zhenping Yu, Xinmeng Zhou, Yedong Huang, Kunyu Zhou, Guangming Cui, Juntian Qu   +5 more
wiley   +1 more source