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Design, Optimization and Prediction of the Performances for a Multi-band Patch Antenna Using Artificial Neural Network (ANN)
In this contribution, a rectangular U-slotted Patch antenna was designed and optimized using artificial neural network (ANN) based on the multilayer...
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The Catastrophe of Corruption in the Sustainability of Foreign aid: A Prediction of Artificial Neural Network Method in Indonesia
The rising corruption levels in Indonesia are becoming a cause for concern and raise doubts about their impact on the stability of foreign aid in the...
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Intruder Detection System Based Artificial Neural Network for Software Defined Network
This paper shows the implementation of an Intruder Detection System (IDS) integrated into an Artificial Neural Network (ANN), called (Snort + RNA);...
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Prediction of land use and land cover changes for upstream of the Adyar sub-basin, Tamil Nadu, South India, deep learning based on artificial neural networks
This study investigates the potential of land use and land cover (LULC) maps in balancing preservation, development pressures, and competing uses....
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Identification of a MIMO Twin Rotor System Using an Artificial Neural Network Trained by PSO
Twin Rotor Mimo System (TRMS) is a dynamic system with multiple inputs and multiple nonlinear outputs that simulates the action of a helicopter, in...
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Artificial Neural Network-Based Committee Machine for Predicting the Slag Quality of a Blast Furnace Fed with Metallurgical Coke
Blast furnace slag is a product obtained with the manufacture of cast iron. It is formed by the chemical combination of impurities from iron ore with...
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Predicting Volunteers’ Decisions to Stay in or Quit an NGO Using Neural Networks
This paper uses non-traditional approaches to predict why volunteers remain in or quit a non-governmental organisation position. A questionnaire...
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Prediction of landuse/landcover using CA-ANN approach and its association with river-bank erosion on a stretch of Bhagirathi River of Lower Ganga Plain
The present study documents the landuse and landcover change on a stretch of the Bhagirathi river in the last three decades in response to river bank...
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A bibliometric study on recent trends in artificial intelligence-based suspicious activity recognition
Recent years have seen a dramatic increase in the use of artificial intelligence (AI) in suspicious activity recognition (SAR). To better understand...
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Monitoring land use changes and its future prospects using cellular automata simulation and artificial neural network for Ahmedabad city, India
The urban sprawl is one of the potential threat for sustainable development. The present study has been carried out on Ahmedabad Municipal...
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Analysis of LULC change dynamics and its impact assessment using CA-ANN model in part of Coimbatore region, India
Understanding the LULC change is essential to adopt the new development activities in the particular study area. The study reveals the LULC change...
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A comprehensive review on insider trading detection using artificial intelligence
This paper provides a comprehensive review that delves into the domain of insider trading detection, focusing on the integration of artificial...
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Prediction of production facility priorities using Back Propagation Neural Network for bus body building industries: a post pandemic research article
The pandemic recession has caused enormous disturbances in many industrialized countries. The massive disruption of the supply chain of production is...
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Machine learning, artificial neural networks and social research
Machine learning (ML), and particularly algorithms based on artificial neural networks (ANNs), constitute a field of research lying at the...
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Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis
This paper surveys the extant literature on machine learning, artificial intelligence, and deep learning mechanisms within the financial sphere using...
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Modeling land use/land cover transformations in Mahanadi River basin in Chhattisgarh, India: trends and future projections
The prediction of land use and land cover (LULC) patterns is essential for land use planning, natural resources management, and climate change...
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Application of neural-wavelet network in predicting the incidence of marriage and divorce in Iran
Marriage has become less common, while the incidence of divorce has risen in Iran. These have made marriage facilitation and divorce prevention as...
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A Model into Relations Between Spousal Support, Financial Satisfaction, and Marital Satisfaction
We developed a novel model combining the partial least squares structural equation modeling (PLS-SEM) and Artificial Neural Network (ANN) to examine...
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The importance of quality in a complex behavioral model dependent on the analytical: an example of adopting eco-friendly cars among young consumers in the United States
Environmentally friendly cars are in the spotlight because they represent a rapidly expanding segment of the automobile market and appear to be the...
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The optimal forecast model for consumer price index of Puntland State, Somalia
Effective monetary and fiscal policy can be set with an appropriate inflation forecast. Therefore, the aim of this study is to forecast Puntland’s...
