Search Results - subject:"Convolutional neural networks"

A CNN-LSTM stock prediction model based on genetic algorithm optimization

Baek, Heon - In: Asia Pacific financial markets 31 (2024) 2, pp. 205-220

Persistent link: https://www.econbiz.de/10014548357

Dynamic graph reinforcement learning algorithm for portfolio management : a novel time-frequency correlated model

Ma, Cong; Nan, Shijing - In: Finance research letters 63 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014531565

Modelling data poisoning attacks against convolutional neural networks

Jonnalagadda, Annapurna; Mohanty, Debdeep; Zakee, Ashraf; … - In: Journal of information & knowledge management : JIKM 23 (2024) 2, pp. 1-21

Persistent link: https://www.econbiz.de/10014534982

A comprehensive survey on deep learning techniques for digital video forensics

Vigneshwaran, T.; Velammal, B. L. - In: Journal of information & knowledge management : JIKM 23 (2024) 3, pp. 1-20

Persistent link: https://www.econbiz.de/10014575640

Predicting oil prices : a comparative analysis of machine learning and image recognition algorithms for trend prediction

Göncü, Ahmet; Kuzubaş, Tolga U.; Saltoğlu, Burak - In: Finance research letters 67 (2024) 2, pp. 1-9

Persistent link: https://www.econbiz.de/10015062432

On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality

El-Ateif, Sara; Idri, Ali; Fernández-Alemán, José Luis - In: Data Technologies and Applications 58 (2024) 3, pp. 517-544

Purpose COVID-19 continues to spread, and cause increasing deaths. Physicians diagnose COVID-19 using not only real-time polymerase chain reaction but also the computed tomography (CT) and chest x-ray (CXR) modalities, depending on the stage of infection. However, with so many patients and so...

Persistent link: https://www.econbiz.de/10015342695

Networks intrusion detection system using particle reef optimisation-based convolutional Elman neural network

Mahanta, Kshyamasagar; Maringanti, Hima Bindu - In: International journal of networking and virtual … 31 (2024) 4, pp. 339-367

Persistent link: https://www.econbiz.de/10015333945

Generative models for capturing and exploiting the influence of process conditions on process curves

Iraki, Tarek; Link, Norbert - In: Journal of Intelligent Manufacturing 33 (2021) 2, pp. 473-492

Variations of dedicated process conditions (such as workpiece and tool properties) yield different process state evolutions, which are reflected by different time series of the observable quantities (process curves). A novel method is presented, which firstly allows to extract the statistical...

Persistent link: https://www.econbiz.de/10014502013

Spatial regression graph convolutional neural networks : a deep learning paradigm for spatial multivariate distributions

Zhu, Di; Liu, Yu; Yao, Xin; Fischer, Manfred M. - 2021

Persistent link: https://www.econbiz.de/10012816134

Modelling cross-sectional tabular data using convolutional neural networks : prediction of corporate bankruptcy in Poland

Dzik-Walczak, Aneta; Odziemczyk, Maciej - In: Central European economic journal 8 (2021) 55, pp. 352-377

investigated. It was found that convolutional neural networks can be used to analyze cross-sectional tabular data, especially for … neural networks. Convolutional networks take images as input, so it was thus necessary to apply the method of converting the …The paper deals with the topic of modelling the probability of bankruptcy of Polish enterprises using convolutional …

Persistent link: https://www.econbiz.de/10012799240