Results 31 to 40 of about 2,104,934 (298)

Importance of Voting at the Municipal Level: The Seniors’ Voices

open access: yesFrontiers in Political Science, 2021
While municipal elections in Quebec are characterized by low voter turnout, it appears that people over 65 years old are the ones who vote in higher numbers. In fact, this is the case for both federal and provincial elections.
Salomé Vallette
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

PERILAKU PEMILIH DALAM PILKADA KABUPATEN KUDUS 2013

open access: yesPolitika: Jurnal Ilmu Politik, 2014
This study describes of  Kudus Regency (Kabupaten Kudus)  voting behaviour. Voting behavior is explained by three main approaches in the study of voting behavior, which are sociological models, psychological models and rational / economic model. Research
Fitriyah Fitriyah
doaj   +1 more source

The influence of mayors as candidates in the 2017 parliamentary elections on voter decision-making in Czechia

open access: yesActa Universitatis Carolinae Geographica, 2021
Local activities of electoral candidates represent one of the key factors influencing voting behaviour. Many studies have shown an elevated electoral support for candidates in the municipality of their residence and the surrounding region.
Radek Pileček
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Electoral behaviour in the Kraków metropolitan area: 1993–2011

open access: yesBulletin of Geography. Socio-Economic Series, 2017
The purpose of the paper is to describe changes in support for the four principal political options (‘right’, ‘left’, ‘liberal’, ‘peasant’) available in the Kraków Metropolitan Area (KMA) in parliamentary elections in the period 1993–2011.
Linkowski Radosław
doaj   +1 more source

Exit, Voice, and Cyclicality: A Micro-Logic of Voting Behaviour in European Parliament Elections [PDF]

open access: yes, 2009
Unlike other classics of political economy, “Exit, Voice, and Loyalty” (EVL) has not sparked many innovations in the field of electoral studies. This paper aims to demonstrate that scholars miss out on a powerful theory of political behaviour by leaving ...
Weber, Till
core  

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

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