Results 11 to 20 of about 85,074 (191)

Machine learning based ground motion site amplification prediction

Frontiers in Earth Science, 2023
Site condition impact on seismic ground motion has been a complex but important subject in earthquake hazard analysis. Traditional studies on site amplification effect are either based on site response via wave propagation simulation or regression ...
Xiangqi Wang, Zifa Wang, Zifa Wang, Jianming Wang, Pengyu Miao, Haotian Dang, Zhaoyan Li   +6 more
doaj   +1 more source

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation

, 2020
Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed.
Denman, Simon, Dissanayake, Theekshana, Fernando, Tharindu, Fookes, Clinton, Ghaemmaghami, Houman, Sridharan, Sridha   +5 more
core   +1 more source

NATIONAL STATUSES GRANTED FOR PROTECTION REASONS IN IRELAND. ESRI RESEARCH SERIES NUMBER 96 January 2020 [PDF]

, 2020
This study examines the national statuses that may be granted for protection reasons in Ireland. The report focuses on national statuses with a sole basis in Irish domestic law and policy and does not examine in detail EU-harmonised statuses.
Brazil, Patricia, Groarke, Sarah
core  

Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks

Applied Computer Systems, 2020
Machine learning (ML) methods are nowadays widely used to automate geophysical study. Some of ML algorithms are used to solve lithological classification problems during uranium mining process.
Kuchin Yan, Mukhamediev Ravil, Yakunin Kirill, Grundspenkis Janis, Symagulov Adilkhan   +4 more
doaj   +1 more source

A traceability model for upper corner gas in fully mechanized mining faces based on XGBoost-SHAP

Gong-kuang zidonghua
To address the weak interpretability caused by the "black-box" structure of current gas concentration prediction models in the upper corner of fully mechanized mining faces, a gas traceability model based on XGBoost-SHAP was proposed for the upper corner
SHENG Wu, WANG Lingzi
doaj   +1 more source

On Network Science and Mutual Information for Explaining Deep Neural Networks

, 2020
In this paper, we present a new approach to interpret deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks.
Bhardwaj, Kartikeya, Bhatt, Umang, Davis, Brian, Marculescu, Radu, Moura, José M. F.   +4 more
core   +1 more source

Exploring commuter stress dynamics through machine learning and double optimization

Mehran University Research Journal of Engineering and Technology
Travel dynamics significantly impact commuter stress, influenced by traffic behavior, road conditions, travel modes, distance, and socio-demographic characteristics.
Ashar Ahmed, Mario Muñoz-Organero, Bushra Aijaz   +2 more
doaj   +1 more source

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach

, 2021
We examine counterfactual explanations for explaining the decisions made by model-based AI systems. The counterfactual approach we consider defines an explanation as a set of the system's data inputs that causally drives the decision (i.e., changing the ...
Fernández-Loría, Carlos, Han, Xintian, Provost, Foster   +2 more
core  

Model evaluation of total phosphorus prediction based on model accuracy and interpretability for the surface water in the river network of the Jiangnan Plain, China

Water Science and Technology, 2023
Due to climatic and hydrological changes and human activities, eutrophication and frequent outbreaks of cyanobacteria are prominent in the Jiangnan Plain basin of China.
Hao Zhang, Juan Huan, Xiangen Xu, Bing Shi, Yongchun Zheng, Weijia Mao, Jiapeng Lv   +6 more
doaj   +1 more source

Soliton content with quadratic nonlinearities [PDF]

, 1999
Summary form only given. Quadratic solitons, that form through cascading in materials with second-order nonlinearities, are a topic of current intense investigation.
Artigas García, David, Mazilu, Dumitru, Mihalache, Dumitru, Pérez Torres, Juan, Torner Sabata, Lluís   +4 more
core   +3 more sources