Results 91 to 100 of about 86,722 (264)

Prediction of Properties of Polymer Composite Formulations Using Ensemble Models With Feature Generation

Journal of Applied Polymer Science, EarlyView.
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley   +1 more source

A multimodal approach for depression detection using semi-automatic data annotation and deterministic machine learning methods

Научно-технический вестник информационных технологий, механики и оптики
A trending task of automatic psycho-emotional human state detection was studied in this work. A scientific interest to researches devoted to the automatic multimodal depression detection can arise out of the widespread of anxiety-depressive disorders and
A. N. Velichko, A. A. Karpov
doaj   +1 more source

Continual decision‐making dynamics across biological organisms

Biological Reviews, EarlyView.
ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Bottom Up Quotients and Residuals for Tree Languages

, 2015
In this paper, we extend the notion of tree language quotients to bottom-up quotients. Instead of computing the residual of a tree language from top to bottom and producing a list of tree languages, we show how to compute a set of k-ary trees, where k is
Champarnaud, Jean-Marc, Mignot, Ludovic, Ouali-Sebti, Nadia, Ziadi, Djelloul   +3 more
core  

From niche theory to demographic realities: the demographic niche concept for understanding range‐wide population dynamics

Ecography, EarlyView.
The ecological niche concept is fundamental to understanding species distributions but often overlooks the demographic processes shaping said distributions. Conversely, demographic theory has traditionally neglected how vital rates vary and covary across environments, limiting our understanding of population dynamics across species' ranges.
Sean E. H. Pang, Erola Fenollosa, Cory Merow, Antoine Guisan, Jens‐Christian Svenning, Roberto Salguero‐ Gómez   +5 more
wiley   +1 more source

Ranking of antiseizure medications in a panel of focal seizure models predicts their comparative efficacy in clinical add‐on trials in drug‐resistant focal epilepsy

Epilepsia, EarlyView.
Abstract Objective Most antiseizure medications (ASMs) have been discovered by testing in animal models, which are generally thought to predict antiseizure activity in patients. However, it is not known whether any of these models (or a combination of models) can predict whether a novel ASM exhibits higher clinical efficacy in focal drug‐resistant ...
Wolfgang Löscher, Pavel Klein
wiley   +1 more source

Adaptive Non-Deterministic Decision Trees: General Formulation and Case Study

, 2006
This paper introduces the adaptive non-deterministic decision tree, a formal device derived from adaptive device theory. ANDD-tree is a new framework for the development of supervised learning techniques. The general formulation of this framework, a case study and some experimental results are also presented.
Pistori, Hemerson, Neto, João José, Pereira, Mauro Conti   +2 more
openaire   +1 more source

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source