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精簡: 期刊題名: Neural Computing & Applications 刪除
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1
A modern approach of Caputo–Fabrizio time-fractional derivative to MHD free convection flow of generalized second-grade fluid in a porous medium
A modern approach of Caputo–Fabrizio time-fractional derivative to MHD free convection flow of generalized second-grade fluid in a porous medium
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A modern approach of Caputo–Fabrizio time-fractional derivative to MHD free convection flow of generalized second-grade fluid in a porous medium

Sheikh, Nadeem Ahmad ; Ali, Farhad ; Khan, Ilyas ; Saqib, Muhammad

Neural computing & applications, 2018-09, Vol.30 (6), p.1865-1875 [同儕審閱期刊]

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2
A deep learning approach to classify country and value of modern coins
A deep learning approach to classify country and value of modern coins
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A deep learning approach to classify country and value of modern coins

Cirillo, Stefano ; Solimando, Giandomenico ; Virgili, Luca

Neural computing & applications, 2023-12 [同儕審閱期刊]

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3
Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management
Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management
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Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management

Babbar, Sarthak ; Bedi, Jatin

Neural computing & applications, 2023-09, Vol.35 (26), p.19465-19479 [同儕審閱期刊]

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4
Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach
Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach
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Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach

Duman, Serhat ; Li, Jie ; Wu, Lei ; Guvenc, Ugur

Neural computing & applications, 2020-06, Vol.32 (12), p.8463-8492 [同儕審閱期刊]

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5
Non-tuned machine learning approach for hydrological time series forecasting
Non-tuned machine learning approach for hydrological time series forecasting
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Non-tuned machine learning approach for hydrological time series forecasting

Yaseen, Zaher Mundher ; Allawi, Mohammed Falah ; Yousif, Ali A. ; Jaafar, Othman ; Hamzah, Firdaus Mohamad ; El-Shafie, Ahmed

Neural computing & applications, 2018-09, Vol.30 (5), p.1479-1491 [同儕審閱期刊]

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6
A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach
A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach
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A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach

Pathak, Pawan Kumar ; Yadav, Anil Kumar ; Alvi, P. A.

Neural computing & applications, 2022, Vol.34 (1), p.171-209 [同儕審閱期刊]

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7
An intelligent approach to predict gas compressibility factor using neural network model
An intelligent approach to predict gas compressibility factor using neural network model
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An intelligent approach to predict gas compressibility factor using neural network model

Azizi, Navid ; Rezakazemi, Mashallah ; Zarei, Mohammad Mehdi

Neural computing & applications, 2019-01, Vol.31 (1), p.55-64 [同儕審閱期刊]

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8
DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems
DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems
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DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems

Sinha, Bam Bahadur ; Dhanalakshmi, R.

Neural computing & applications, 2022-07, Vol.34 (13), p.10807-10821 [同儕審閱期刊]

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9
FireClassNet: a deep convolutional neural network approach for PJF fire images classification
FireClassNet: a deep convolutional neural network approach for PJF fire images classification
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FireClassNet: a deep convolutional neural network approach for PJF fire images classification

Daoud, Zeineb ; Ben Hamida, Amal ; Ben Amar, Chokri

Neural computing & applications, 2023-09, Vol.35 (26), p.19069-19085 [同儕審閱期刊]

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10
Advanced stochastic approaches for Sobol’ sensitivity indices evaluation
Advanced stochastic approaches for Sobol’ sensitivity indices evaluation
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Advanced stochastic approaches for Sobol’ sensitivity indices evaluation

Todorov, Venelin ; Dimov, Ivan ; Ostromsky, Tzvetan ; Apostolov, Stoyan ; Georgieva, Rayna ; Dimitrov, Yuri ; Zlatev, Zahari

Neural computing & applications, 2021-03, Vol.33 (6), p.1999-2014 [同儕審閱期刊]

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