Results 151 to 160 of about 12,746,553 (278)

The spatial and environmental distribution of the global eddy covariance tower network. [PDF]

Int J Biometeorol
Stoy PC, Chu H, Dahl E, Cala DS, Shveytser V, Wiesner S, Desai AR, Novick KA.   +7 more
europepmc   +1 more source

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

Missing Values in Empirical Research: Theory and Practice. Part 39 of a Series on the Evaluation of Scientific Publications. [PDF]

Dtsch Arztebl Int
Schaefer E, Lang A, Piedboeuf-Potyka K, Kuss O.   +3 more
europepmc   +1 more source

Bounds on the Efficiency of Linear Predictions Using an Incorrect Covariance Function

, 1990
M. Stein
semanticscholar   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference. [PDF]

J Am Stat Assoc
Gu Z, Yu S, Wang G, Wang L.
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Multi-target passive positioning with signal classification and MIMO radar. [PDF]

Sci Rep
Wang H, Liu X, Lei Z.
europepmc   +1 more source

USING SPATIAL COVARIANCE FUNCTION FOR ANTITRUST MARKET DELINEATION [PDF]

Arthur Barrionuevo Filho, Claudio R. Lucinda   +1 more
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