Results 121 to 130 of about 229,241 (272)
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source
Inferring transition probabilities from repeated cross sections: a cross-level inference approach to US presidential voting [PDF]
This paper outlines a nonstationary, heterogeneous Markov model designed to estimate entry and exit transition probabilities at the micro-level from a time series of independent cross-sectional samples with a binary outcomevariable.
Eisinga, R. +2 more
core +1 more source
EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang +9 more
wiley +1 more source
This article investigates the Liberal Democrats’ unprecedented success in the 2024 British general election, which saw the party become the country’s third political force in the House of Commons once again, with 72 seats.
Clémence Leveque
doaj +1 more source
Non-cooperative Bargaining and the Incomplete Information Core [PDF]
We consider information transmission in the core of an exchange economy with incomplete information by non-cooperative bargaining theory. Reformulating the coalitional voting game by Serrano and Vohra [Information transmission in coalitional voting games,
Okada, Akira
core
Application of Statistical Physics to Politics
The concept and technics of real space renormalization group are applied to study majority rule voting in hierarchical structures. It is found that democratic voting can lead to totalitarianism by keeping in power a small minority.
Galam, Galam, Serge Galam
core +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
ABSTRACT Objective Eating disorders (EDs) are severe and complex psychiatric illnesses, with adolescence and young adulthood representing particularly vulnerable periods for onset, relapse and disruptions in treatment. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is especially complex ...
Maria Livanou +19 more
wiley +1 more source
Standing While Black: Distinguishing Lyons in Racial Profiling Cases [PDF]
Plaintiffs challenging racial profiling must contend with the Supreme Court\u27s decision in City of Los Angeles v. Lyons, which restricted standing for injunctive relief against government officials.
Garrett, Brandon L.
core +1 more source
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source

