Results 261 to 270 of about 4,311,294 (371)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Machine Learning-Based Prediction of Elekta MLC Motion with Dosimetric Validation for Virtual Patient-Specific QA. [PDF]

Bioengineering (Basel)
Min BJ, Yoo GS, Yoo SH, Kim WD.
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Highly Cited Artificial Intelligence Research Studies Published in Neurosurgical Journals: A Bibliometric Analysis. [PDF]

Cureus
Maghrabi Y, Jamjoom AB, Algahtani A, Alshareef OH, Jamjoom OM, Alzahrani M.   +5 more
europepmc   +1 more source

Virtual Machines Migration based on Greedy Algorithm in Cloud Computing

, 2014
Somayeh SoltanBaghshahi, Sam Jabbehdari, Sahar Adabi   +2 more
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Design and validation of a flexible framework for developing generic digital twins for Industry 4.0. [PDF]

Sci Rep
Pribiš R, Drahoš P, Kozák Š, Beňo L, Kučera E, Haffner O, Pajpach M.   +6 more
europepmc   +1 more source

Research and design of software protection based on virtual machine

, 2012
Lina Zhang
openalex   +1 more source

Development of a sensor-controlled ambulation support machine with a lifting mechanism : Application of a virtual compliance control to the lifting mechanism

, 2002
Toshitaka TANOU, Yoshihiro KAI, Yoshio INOUE, Masafumi Nakahama, Kenji Ishida, Hiroshi Yamamoto   +5 more
openalex   +2 more sources

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source