In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks by A. S. Andreou, G. A. Zombanakis, E. F. Georgopoulos, S. D. Likothanassis

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Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network by Azizollah Khormali, Soroush Ahmadi, Aleksandr Nikolaevich Aleksandrov

“…Experimental rock permeability data were then used to develop a model using a multi-layer perceptron (MLP) artificial neural network (ANN). In order to create a high-performing MLP-ANN model, various transfer functions and training algorithms were evaluated. …”
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A combined method of formation of a cryptographic key with secret modification of the results of synchronization of artificial neural networks by M. L. Radziukevich

Subjects: “…synchronized artificial neural networks…”
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Predicting Shear Strength in FRP-Reinforced Concrete Beams Using Bat Algorithm-Based Artificial Neural Network by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

“…The structure of the artificial neural network (ANN) is also optimized using the bat algorithm. …”
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The influence of big data, content marketing, and artificial neural networks on purchase decisions: the moderating role of purchase intentions by Sudarsono Sudarsono, Azis Rachman

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An Artificial Neural Network Developed in MATLAB-Simulink for Reconstruction a Distorted Secondary Current Waveform. Part 1 by Yu. V. Rumiantsev, F. A. Romaniuk

Subjects: “…artificial neural network…”
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Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks by Maryam M. Kheirollahpour, Mahmoud M. Danaee, Amir Faisal A. F. Merican, Asma Ahmad A. A. Shariff

“…The hybrid model of structural equation modelling (SEM) and artificial neural networks (ANN) was applied to evaluate the prediction model. …”
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Modeling and Optimization of Aloe-Vera Static Shearing by Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Methods by Hekmat Rabbani, Rashid Gholami, Negin Sohrabi

“…This study showed that Response Surface Methodology (RSM) is suitable for evaluating optimum conditions in Aloe Vera cutting experiments and is more accurate than the Artificial Neural Network (ANN) method.…”
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Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network by Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang

Subjects: “…Physics-guided artificial neural network…”
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Artificial Neural Network Modeling of Abrasion Loss and Surface Roughness of Crab Carapace Impregnated Coir Vinyl Ester Composites by S. Rajamuneeswaran, S. Jayabal, N. Nagaprasad, G. Veerappan, Leta Tesfaye Jule, Ramaswamy Krishnaraj

“…In order to forecast abrasion loss and surface roughness behaviors, artificial neural network (ANN) models were constructed, and it was discovered that the produced ANN models effectively predicted the abrasion loss as well as surface roughness behavior within the given ranges.…”
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MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK by WASIU AJAGBE, MURTADHA TIJANI, OLUWAFEMI ODUKOYA

Subjects: “…artificial neural network, concrete, fine aggregate, polyethylene terephthalate, tensile strength…”
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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

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Microwave Drying Modelling of Stevia rebaudiana Leaves Using Artificial Neural Network and Its Effect on Color and Biochemical Attributes by Baldev Singh Kalsi, Sandhya Singh, Mohammed Shafiq Alam, Surekha Bhatia

“…Furthermore, multilayer feed forward (MLF) artificial neural network (ANN) using backpropagation algorithm was used to predict the moisture ratio of Stevia leaves during microwave drying. …”
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Artificial neural networks analysis predicts long-term fistula function in hemodialysis patients following percutaneous transluminal angioplasty by Aichi Chien, Ayush Lall, Maitraya Patel, Lucas Cusumano, Justin McWilliams

“…These results indicate that evaluating multimodal clinical data using artificial neural networks can predict the outcome of PTA. These initial findings suggest that the hybrid model combining clinical data, imaging and hemodynamic analysis can be useful to treatment planning for hemodialysis. …”
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Application of Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Predict Activated Carbon Properties for Methane Storage by Ali Ahmadpour, Neda Jahanshahi, Sajjad Rashidi, Naser Chenarani, Mohammad Jaber Darabi Mahboub

“…Two models of artificial neural networks and adaptive neuro-fuzzy interference systems are used. …”
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Artificial Neural Networks Model for Photosynthetic Rate Prediction of Leaf Vegetable Crops under Normal and Nutrient-Stressed in Greenhouse by Yohanes Bayu Suharto, Herry Suhardiyanto, Anas Dinurroman Susila, Supriyanto

“…This research focused on assessing the impact of nutrient stress on the photosynthetic rate in leaf vegetable crops and aimed to create a model using artificial neural networks (ANN) to predict photosynthetic rates under nutrient-stress conditions. …”
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Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

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Design of a flattening filter using Fiber Bragg Gratings for EDFA gain equalization: an artificial neural network application by David Esteban Montoya Alba, Jhonatan Mcniven Cagua Herrera, Gustavo Adolfo Puerto Leguizam´ón

Subjects: “…Artificial neural network…”
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Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks by Trong-Thanh Han, Hinh Nguyen Van, Phat Nguyen Huu

“…In this study, a combination model between the features of complex networks and artificial neural networks is proposed to automatically find the noise reduction parameter of the block-matching and 3D filtering method. …”
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Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network by Qingchun Guo, Zhenfang He, Zhaosheng Wang

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