Machine learning for observational cosmology
K Moriwaki, T Nishimichi… - Reports on Progress in …, 2023 - iopscience.iop.org
An array of large observational programs using ground-based and space-borne telescopes
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …
A sustainable approach to manufacture mélange yarn from waste jute fiber and pre-consumer cotton fabric waste using I-optimal mixture design
Today, the exploitation of recycled fibers emanating from textile waste has substantially
increased owing to the growing environmental consciousness, legal sustainability …
increased owing to the growing environmental consciousness, legal sustainability …
How does this interaction affect me? interpretable attribution for feature interactions
Abstract Machine learning transparency calls for interpretable explanations of how inputs
relate to predictions. Feature attribution is a way to analyze the impact of features on …
relate to predictions. Feature attribution is a way to analyze the impact of features on …
[图书][B] Dynamic treatment regimes: Statistical methods for precision medicine
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a
comprehensive introduction to statistical methodology for the evaluation and discovery of …
comprehensive introduction to statistical methodology for the evaluation and discovery of …
Environmental impact of warehousing: A scenario analysis for the United States
In recent years, there has been observed a continued growth of global carbon dioxide
emissions, which are considered as a crucial factor for the greenhouse effect and associated …
emissions, which are considered as a crucial factor for the greenhouse effect and associated …
Bayesian design of experiments using approximate coordinate exchange
AM Overstall, DC Woods - Technometrics, 2017 - Taylor & Francis
The construction of decision-theoretical Bayesian designs for realistically complex nonlinear
models is computationally challenging, as it requires the optimization of analytically …
models is computationally challenging, as it requires the optimization of analytically …
Optimal Experimental Design
J López-Fidalgo - Lecture Notes in Statistics, 2023 - Springer
I have enjoyed very much writing this book. This is very important from a personal point of
view, but I believe this is the key of writing something interesting for the readers. One of the …
view, but I believe this is the key of writing something interesting for the readers. One of the …
[HTML][HTML] Paper fiber-reinforced polypropylene composites from nonwoven preforms: A study on compression molding optimization from a manufacturing perspective
CA Grubb, DJ Keffer, CD Webb, M Kardos… - Composites Part A …, 2024 - Elsevier
This work optimizes compression molding manufacturing for wet-formed nonwoven paper
and polypropylene fiber mats. A central composite designed experiment investigated the …
and polypropylene fiber mats. A central composite designed experiment investigated the …
Design optimizations of carbon fibre reinforced polymer isogrid lower limb prosthesis using particle swarm optimization and Lichtenberg algorithm
MB Francisco, DM Junqueira, GA Oliver… - Engineering …, 2021 - Taylor & Francis
The demands for a high-performance prosthesis include high strength and low weight. This
study addresses the optimization of a new tube concept, made of composite material, which …
study addresses the optimization of a new tube concept, made of composite material, which …
Damage evaluation of acid-oil emulsion and asphaltic sludge formation caused by acidizing of asphaltenic oil reservoir
Acidizing is one of the most effective techniques to remove the formation damage and
restore (or even increase) the permeability of the near wellbore region. Although this …
restore (or even increase) the permeability of the near wellbore region. Although this …