Results 151 to 160 of about 3,566,037 (267)

Boosted Regression Tree Based Invariant Mass Reconstruction of $\tau$ Lepton Pairs at ATLAS

, 2014
Boosted regression trees were tested as an alternative to the currently used invariant mass reconstruction algorithms for hadronically decaying tau lepton pairs.
Quenneville, Matthew Eric
core  

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

Advanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti, Hanyuan Gao, Negin Zeinali, Abdullah‐Bin Siddique, Sara J. Adair, Todd W. Bauer, Matthew J. Lazzara, Xiaoxuan Yang, Nathan S. Swami   +8 more
wiley   +1 more source

Physics‐Informed Machine Learning for Predicting Phases and Density of Al2O3–TiB2 Composites Synthesized via Laser Ignition From the Al–TiO2–B2O3–H3BO3 Reactive System

Advanced Intelligent Systems, EarlyView.
This interactive physics‐informed machine learning model predicts the composition and density of advanced ceramic materials produced by self‐propagating high‐temperature synthesis. The model requires user input processing parameters and demonstrates high accuracy.
Evangelos Daskalakis, Geeta Sharma, Sarathkumar Loganathan, Andrew Scott, Animesh Jha   +4 more
wiley   +1 more source

Machine Learning-Based Prediction Models for Punching Shear Strength of Fiber-Reinforced Polymer Reinforced Concrete Slabs Using a Gradient-Boosted Regression Tree. [PDF]

Materials (Basel)
Abood EA, Abdallah MH, Alsaadi M, Imran H, Bernardo LFA, De Domenico D, Henedy SN.   +6 more
europepmc   +1 more source

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility. [PDF]

Front Med (Lausanne)
Abu-Hamdeh NH, Ajour MN.
europepmc   +1 more source

Herbarium‐based measurements are reliable predictors of fresh plant traits in Neotropical Myrtaceae

Applications in Plant Sciences, EarlyView.
Abstract Premise Herbarium specimens are increasingly used to extract morphological traits for ecological and evolutionary studies, yet the effects of tissue desiccation on trait measurements remain poorly understood. Here, we tested two hypotheses: (H1) whether higher tissue water content leads to greater measurement changes after herborization and ...
Yacov Kilsztajn, Lázaro Henrique Soares Moraes de Conceição, Thais Vasconcelos, Carolyn Elinore Barnes Proença, Vanessa Graziele Staggemeier   +4 more
wiley   +1 more source

Repeated Internal Validation and Interpretation of Models Predicting Surgery Documented at a Study Institution Within 90 Days After Acute Knee Trauma: A Secondary Analysis. [PDF]

Medicina (Kaunas)
Hwang S, Lee J, Choi WK, Seo YW, Kwak SG.   +4 more
europepmc   +1 more source

Comprehensive Characterization of Acer truncatum Leaf Extract: Identification of Systemic Metabolites and Effects on Performance, Antioxidant Status, and Intestinal Microbiota in Laying Hens

Animal Research and One Health, EarlyView.
Dietary A. truncatum leaf extract is absorbed and improves laying performance in aged hens by enhancing systemic antioxidant capacity and modulating the gut microbiota. ABSTRACT The demand for natural feed additives is considerably increasing in the antibiotic‐free feed era.
Kailong Qin, Jiantao Yang, Minglu Gao, Xiaozhao Tao, Xin Yang, Yanli Liu, Xiaojun Yang   +6 more
wiley   +1 more source

The Usefulness of Machine Learning Models to Predict Patient-Reported Outcome Measures in Chronic Rhinosinusitis With Nasal Polyps. [PDF]

World J Otorhinolaryngol Head Neck Surg
Shen Y, Xiong PH, Zheng BW, Li CX, Chen JL, Gu Y, Yang YH, Lu T, Yang YC.   +8 more
europepmc   +1 more source