Results 81 to 90 of about 1,212,906 (326)

Structural Health Monitoring of a Unidirectional Isolation Bridge: Bidirectional Seismic Behavior, Stochastic Model Updating, and Prediction

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Accurate mechanical characterization of civil engineering structures after construction remains challenging due to the unique complexities of each structure, including geometric configurations, imperfect design modeling assumptions, soil conditions, and pervasive uncertainties in actual operational environments. Leveraging actual measurements,
Xinhao He   +7 more
wiley   +1 more source

Interpretation of Evidence: The Key to Conveying Information to Court

open access: yesArab Journal of Forensic Sciences & Forensic Medicine, 2019
The advent of new technologies such as DNA typing, the weight of scientific evidence in criminal trials of widespread publicity, and the proliferation of fictional and non-fictional works in popular media have contributed to making forensic science well ...
Marta Da Pian   +2 more
doaj   +1 more source

Modeling the Probability of Tsunami Fire Ignition Based on Data From the 2011 Tohoku and 2024 Noto Peninsula Earthquakes, With Recommendations to Reduce Emerging Fire Risk in Tsunami Vertical Evacuation Structures

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Recent tsunamigenic earthquakes in Japan have highlighted the emerging fire hazard triggered by tsunami inundation and its impact on tsunami vertical evacuation (TVE) structures. This new type of fire following earthquake, referred to as “tsunami fires,” may be a potential universal hazard that tsunami‐prone countries face; however, it has not
Tomoaki Nishino
wiley   +1 more source

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

open access: yesMachine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier   +2 more
doaj   +1 more source

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

Sistem Pakar Untuk Diagnosis Hama Pada Tanaman Jambu Air Menggunakan Metode Theorema Bayes

open access: yesJurnal Ilmiah Informatika, 2020
Technology is a tool or means used by humans to make ends meet. Technological development covers various aspects of life, such as health, education and in agriculture.
Yoga Junaedi   +2 more
doaj   +1 more source

The Fermi's Bayes Theorem

open access: yes, 2005
It is curious to learn that Enrico Fermi knew how to base probabilistic inference on Bayes theorem, and that some influential notes on statistics for physicists stem from what the author calls elsewhere, but never in these notes, {\it the Bayes Theorem ...
D'Agostini, G.
core  

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

Estimation of a closed population size of tadpoles in temporary pond

open access: yesBrazilian Journal of Biology, 2017
The practice of capture-recapture to estimate the diversity is well known to many animal groups, however this practice in the larval phase of anuran amphibians is incipient.
M. S. C. S. Lima   +2 more
doaj   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

open access: yesMed Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu   +3 more
wiley   +1 more source

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