Edge Detector-Based Hybrid Artificial Neural Network Models for Urinary Bladder Cancer Diagnosis

Enabling AI Applications in Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-52067-0_10 ◽

2020 ◽

pp. 225-245

Author(s):

Ivan Lorencin ◽

Nikola Anđelić ◽

Sandi Baressi Šegota ◽

Jelena Musulin ◽

Daniel Štifanić ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Bladder Cancer ◽

Urinary Bladder ◽

Cancer Diagnosis ◽

Network Models ◽

Urinary Bladder Cancer ◽

Neural Network Models ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Breast cancer diagnosis using Artificial Neural Network models

The 3rd International Conference on Information Sciences and Interaction Sciences ◽

10.1109/icicis.2010.5534716 ◽

2010 ◽

Cited By ~ 30

Author(s):

R. R. Janghel ◽

Anupam Shukla ◽

Ritu Tiwari ◽

Rahul Kala

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Artificial Neural Network ◽

Cancer Diagnosis ◽

Network Models ◽

Breast Cancer Diagnosis ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models

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The Performance of Hybrid Artificial Neural Network Models for Option Pricing during Financial Crises

Journal of Data Science ◽

10.6339/jds.201601_14(1).0001 ◽

2021 ◽

Vol 14 (1) ◽

pp. 1-18

Author(s):

David Liu ◽

Siyuan Huang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Option Pricing ◽

Financial Crises ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Study on Hybrid Artificial Neural Network Models for HK Index Options during Financial Crisis

PsycEXTRA Dataset ◽

10.1037/e551182013-014 ◽

2013 ◽

Author(s):

David Liu ◽

Siyuan Huang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Financial Crisis ◽

Network Models ◽

Neural Network Models ◽

Index Options ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Predicting freshwater production in seawater greenhouses using hybrid artificial neural network models

Journal of Cleaner Production ◽

10.1016/j.jclepro.2021.129721 ◽

2021 ◽

pp. 129721

Author(s):

Fatemeh Panahi ◽

Ali Najah Ahmed ◽

Vijay P. Singh ◽

Mohammad Ehtearm ◽

Ahmed elshafie ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Study on Hybrid Artificial Neural Network Models for HK Index Options during Financial Crisis

Conference Proceedings on 3rd Annual International Conference on Operations Research and Statistics ◽

10.5176/2251-1938_ors13.33 ◽

2013 ◽

Author(s):

David Liu ◽

Siyuan Huang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Financial Crisis ◽

Network Models ◽

Neural Network Models ◽

Index Options ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Hybrid Artificial Neural Network Models for Effective Prediction and Mitigation of Urban Roadside NO 2 Pollution

Energy Procedia ◽

10.1016/j.egypro.2017.12.240 ◽

2017 ◽

Vol 142 ◽

pp. 3524-3530 ◽

Cited By ~ 12

Author(s):

Sheen Mclean S. Cabaneros ◽

John Kaiser S. Calautit ◽

Ben Richard Hughes

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Reducing the bullwhip effect from signal demand of hybrid artificial neural network models of supply chain in Indonesia

International Journal of ADVANCED AND APPLIED SCIENCES ◽

10.21833/ijaas.2017.010.011 ◽

2017 ◽

Vol 4 (10) ◽

pp. 64-75 ◽

Cited By ~ 4

Author(s):

et al. Fradinata ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Supply Chain ◽

Network Models ◽

Bullwhip Effect ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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A comparative study of hybrid artificial neural network models for predicting Cr(VI) adsorption onto activated carbon

10.5004/dwt.2018.21930 ◽

2018 ◽

Vol 103 ◽

pp. 182-198 ◽

Cited By ~ 3

Author(s):

Clint Sutherland ◽

Beverly S. Chittoo ◽

Chintanapalli Venkobachar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Activated Carbon ◽

Comparative Study ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Multi-timescale drought prediction using new hybrid artificial neural network models

Natural Hazards ◽

10.1007/s11069-021-04550-x ◽

2021 ◽

Author(s):

Fatemeh Barzegari Banadkooki ◽

Vijay P. Singh ◽

Mohammad Ehteram

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Models ◽

Neural Network Models ◽

Drought Prediction ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Hybrid Artificial Neural Network

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Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results

2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD) ◽

10.1109/cacsd.2011.6044542 ◽

2011 ◽

Cited By ~ 4

Author(s):

Kwang Ki Kevin Kim ◽

Ernesto Rios Patron ◽

Richard D. Braatz

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Error Bounds ◽

Network Models ◽

Universal Approximation ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models

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