Search Results - subject:"(Convolutional) neural network"

A hybrid convolutional bi-directional gated recurrent unit system for spoken languages of JK and Ladakhi

Thukroo, Irshad Ahmad; Bashir, Rumaan; Giri, Kaiser J. - In: Journal of information & knowledge management : JIKM 22 (2023) 4, pp. 1-23

Persistent link: https://www.econbiz.de/10014388897

Research on the application of deep learning algorithm based PS design software technology in oil painting teaching

Qin, Xifeng - In: International journal of networking and virtual … 28 (2023) 2/4, pp. 122-138

Persistent link: https://www.econbiz.de/10014435577

Effective fashion labelling via image-based recommendation with deep learning

Valarmathi, P.; Dhanalakshmi, R.; Rajagopalan, Narendran - In: International journal of business innovation and … 32 (2023) 1, pp. 47-59

Persistent link: https://www.econbiz.de/10014438452

Recursive stacked leakynet-based compartmental model for analysis of COVID-19 transmission dynamics

Raychaudhuri, Soumya Jyoti; Narendra Babu, C. - In: Journal of information & knowledge management : JIKM 22 (2023) 5, pp. 1-23

Persistent link: https://www.econbiz.de/10014494064

A novel hybrid approach for rice plant disease detection based on stacked autoencoder and convolutional neural network model

Agrawal, Manoj; Agrawal, Shweta - In: International journal of services, economics and management 14 (2023) 3, pp. 321-344

Persistent link: https://www.econbiz.de/10014311696

The effect of environment on housing prices : evidence from the Google Street View

Wang, Guan-Yuan - In: Journal of forecasting 42 (2023) 2, pp. 288-311

Persistent link: https://www.econbiz.de/10014292163

An advanced comparative analysis of proposed deep learning architectures for musculoskeletal disorder classification

Nazim, Sadia; Rizvi, Syed Sajjad Hussain; Moinuddin, … - In: International journal of business information systems : … 42 (2023) 3/4, pp. 349-370

Persistent link: https://www.econbiz.de/10014287100

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN

Zhou, Hanting; Chen, Wenhe; Shen, Changqing; Cheng, … - In: International journal of production research 61 (2023) 23, pp. 8252-8264

Persistent link: https://www.econbiz.de/10014452638

A hybrid convolutional neural network with long short-term memory for statistical arbitrage

Eggebrecht, P.; Lütkebohmert, Eva - In: Quantitative finance 23 (2023) 4, pp. 595-613

Persistent link: https://www.econbiz.de/10014304278

A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma

Swain, Anil Kumar; Swetapadma, Aleena; Rout, Jitendra Kumar - In: Data Technologies and Applications 58 (2023) 1, pp. 113-131

Purpose The objective of the proposed work is to identify the most commonly occurring non–small cell carcinoma types, such as adenocarcinoma and squamous cell carcinoma, within the human population. Another objective of the work is to reduce the false positive rate during the classification....

Persistent link: https://www.econbiz.de/10015342726