Results 191 to 200 of about 11,307,335 (373)

A consensus model in legislative decision‐making: The council of the European Union

European Policy Analysis, EarlyView.
Abstract The culture of consensus influences legislative decision‐making within the Council of the European Union, often leading to broad coalitions in which even the preferences of isolated member states are considered. Nevertheless, despite its significance, this culture has been insufficiently studied through formal models predicting EU legislative ...
Arash Pourebrahimi
wiley   +1 more source

Globalization and Regional Income Inequality: Evidence from within China [PDF]

globalization, inequality, decomposition, Shapley value ...
Chen, Zhao, Lu, Ming, Wan, Guanghua
core  

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine, An Qi Xu, Mezen Jemel, Frédéric Lesage, Dang K. Nguyen, Elie Bou Assi   +5 more
wiley   +1 more source

Spectral entropy variability of intraoperative electrocorticography predicts outcome after epilepsy surgery in people with focal cortical dysplasia

Epilepsia, EarlyView.
Abstract Objective Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is difficult to predict. We explored whether spectral entropy, a fast computable electroencephalographic (EEG) feature, could estimate epileptic activity in intraoperative electrocorticography (ioECoG) and
Eline V. Schaft, Sem Hoogteijling, Dongqing Sun, Cyrille H. Ferrier, Pieter van Eijsden, Wim M. Otte, Galia Anguelova, Nick F. Ramsey, Maryse A. van't Klooster, Maeike Zijlmans, on behalf of the RESPect database study group, Charlotte van Asch, Lydia van de Berg, Dorien van Blooijs, Kim Boshuisen, Mireille Bourez, Kees Braun, Jan Willem Dankbaar, Matteo Demuru, Pieter van Eijsden, Cyrille Ferrier, Tineke Gebbink, Fernando Gomez‐Acebo Ruiz, Peter Gosselaar, Kimberley Grasmeijer, Renate van Griethuysen, Jiaojiao Guo, Irene Heijink, Monique Hobbelink, Friso Hoefnagels, Sem Hoogteijling, Geertjan Huiskamp, Sarah Jacobs, Floor Jansen, Susanne Jelsma, Nicole van Klink, Merel Koopmans, Frans Leijten, Wouter Maathuis, Mariska Mantione, Angelika Muhlebner, Brechje Olgers, Janine van Ophorst, Miranda Postma, Sandra van der Salm, Eline Schaft, Anniek van Schaik, Monique van Schooneveld, Dongqing Sun, Ziyi Wang, Martine van Zandvoort, Eva Zuidhoek, Willemiek Zweiphenning, Jack Zwemmer   +53 more
wiley   +1 more source

Implementing Cooperative Solution Concepts: A Generalized Bidding Approach [PDF]

This paper provides a framework for implementing and comparing several solution concepts for transferable utility cooperative games.We construct bidding mechanisms where players bid for the role of the proposer.The mechanisms differ in the power awarded ...
Ju, Y., Wettstein, D.
core   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Shapley value-driven superior subset selection algorithm for carbon price interval forecast combination. [PDF]

Sci Rep
Yang J, Chen L, Chen H.
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

A Case Study of Multi-Factor Initial Allocation in Zhejiang Province Based on Shapley Value Method and Nucleolus Method from the Perspective of Urban-Rural Integration Development

Chao Zhang, Chuanglin Fang
openalex   +1 more source

Shapley-Value Decomposition Analysis of Farm Household Income Inequality by Income Source in South Korea

, 2018
Heo Deung Yong
openalex   +2 more sources