Results 51 to 60 of about 106,398 (294)
QUIC Network Traffic Classification Using Ensemble Machine Learning Techniques
Applied Sciences, 2023 The Quick UDP Internet Connections (QUIC) protocol provides advantages over traditional TCP, but its encryption functionality reduces the visibility for operators into network traffic.
Sultan Almuhammadi +2 more
doaj +1 more source
Gradient Regularized Budgeted Boosting
CoRR, 2019 As machine learning transitions increasingly towards real world applications controlling the test-time cost of algorithms becomes more and more crucial. Recent work, such as the Greedy Miser and Speedboost, incorporate test-time budget constraints into the training procedure and learn classifiers that provably stay within budget (in expectation ...
Zhixiang Eddie Xu +3 more
openaire +2 more sources
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
BuildingsThe standard approach for testing ordinary concrete compressive strength (CS) is to cast samples and test them after different curing times. However, testing adds cost and time to projects, and, therefore, construction sites experience delays.
Fei Zhu +3 more
doaj +1 more source
FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Significant of Gradient Boosting Algorithm in Data Management System
, 2021 Gradient boosting machines, the learning process successively fits fresh prototypes to offer a more precise approximation of the response parameter.
Amin, Ruhul, Hosen, Md Saikat
core +2 more sources
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Ensemble machine learning models for ternary electrolyte viscosity prediction
Chemical Thermodynamics and Thermal AnalysisAccurate viscosity prediction in ternary electrolyte systems is essential for oil and gas drilling, geothermal operations, and brine processing. This comprehensive study compared three boosting-based ensemble machine learning algorithms - Gradient ...
Vinita Sangwan +3 more
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Evaluation of Nonparametric Decision Tree Models for Predicting Scour Depth of Bridges [PDF]
منابع آب و تغییر اقلیمObjective: The complex nature of bridge pier scour and the influence of various parameters on its estimation highlight the necessity of using a comprehensive nonlinear model.
Rezvan Dalvand, Mehdi Komasi
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Favorite Book Prediction System Using Machine Learning Algorithms
Journal of Applied Engineering and Technological Science, 2023 Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations.
Dersin Daimari +3 more
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