Results 131 to 140 of about 42,653 (194)

When complexity does not pay: benchmarking deep learning and ensemble methods for biomarker discovery. [PDF]

Brief Bioinform
Njume CM, Petracci I, Bellini S, Goljanek-Whysall K, Quinlan LR, Fiszer A, Borroni B, Ghidoni R, Kumbasar A, Cakmak A.   +9 more
europepmc   +1 more source

Association of Elevated Platelets and C‐Reactive Protein With Severe Disease and Poor Survival in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee, Shufeng Li, Srijana Davuluri, Jennifer Lee, Lorinda Chung   +4 more
wiley   +1 more source

Effect of non-invasive preimplantation genetic testing for aneuploidies (ni-PGT) on cumulative ongoing pregnancy in infertile women of advanced maternal age: a multicentre, open-label, randomised controlled trial protocol. [PDF]

BMJ Open
Wang F, Qiu J, Zhen A, Gao L, Wang Y, Ge H, Meng Q.   +6 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Intuitionistic fuzzy approach based on correlation coefficient and signless Laplacian energy with applications. [PDF]

Sci Rep
Atheeque AM, Basha SS.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Comparative safety and efficacy of invasive therapies for carotid artery stenosis: a systematic review and network meta-analysis. [PDF]

J Neurointerv Surg
Amran MY, Fitrah YA, Larassaphira NP, Gunawan AMAK, Abdillah AMH, Toaha ARM, Zainal ATF, Gunadi SGA.   +7 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

B.R.E.A.S.T. Breast canceR Enhanced AI-Supported Therapy: A New Interpretable Proteomics-Driven Machine Learning Framework for Therapy Response Prediction in Breast Cancer. [PDF]

Int J Mol Sci
Bono A, La Monica G, Alamia F, Tocco D, Lauria A, Martorana A.   +5 more
europepmc   +1 more source