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Compressive Strength of Self-Compacting Concrete Modified with Rice Husk Ash and Calcium Carbide Waste Modeling: A Feasibility of Emerging Emotional Intelligent Model (EANN) Versus Traditional FFNN
In the present research, the information on compressive strength of self-compacting concrete (SCC) containing rice husk ash (RHA) and calcium carbide...
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Application of Emotional Neural Network in Modeling Evaporation
Evaporation is dominant component of the hydrological cycle and it has vital impact on soil moisture, surface water resources and ground water...
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Enhanced Artificial Neural Network for Spoof News Detection with MLP Approach
A huge number of people put forth the Internet and various social media platforms. These platforms can be deployed for different purposes by these...
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Emotional ANN (EANN): A New Generation of Neural Networks for Hydrological Modeling in IoT
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and...
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Fake News Detection by Incorporating Multi-modal Information
Multi-modal expressions in social media contain richer information and have a wider spreading effect of fake news. Therefore, how to effectively use...
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Relevant Text Extraction Using Enhanced Artificial Neural Network Fuzzy Inference System
Identifying the security level of a private record is an indispensable task for associations to ensure the secret data represented. Different rules...
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Real-Time Groundwater Monitoring Using IoT Sensors for Sustainable Resource Management
Groundwater supply and sustainability are crucial for various sectors such as agriculture, drinking water, and industry. However, manual groundwater...
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Multimodal fake news detection through intra-modality feature aggregation and inter-modality semantic fusion
The prevalence of online misinformation, termed “fake news”, has exponentially escalated in recent years. These deceptive information, often rich...
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A Neural-network-based Control System for a Dynamic Model of Tractor With Multiple Trailers System
Tractors with multiple trailers are widely applied means of transport in manufacturing systems. There exist numerous designs of trailers and...
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Clip-GCN: an adaptive detection model for multimodal emergent fake news domains
Emergent news is characterized by few labels, and news detection methods that rely on a large number of labels are difficult to apply to learned...
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In situ measurements and simulation of residual stresses and deformations in additively manufactured thin plates
In this work, the residual stresses and deformations developed during and after laser powder bed fusion (L-PBF) manufacture of thin quasi-2D metallic...
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Simulation of Monthly Runoff in Mahanadi Basin with W-ANN Approach
The Mahanadi River basin is one of the biggest basins of India and serves as a lifeline for the region it passes through. However, the region often...
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Estimation of the Basin Outflow by Wavelet Neural Network, Conjunctive Use of Wavelet Analysis and Artificial Neural Network
Estimation of the basin outflow by machine learning (ML) methods is increasingly attracted attention in recent years. Some subsets of ML methods...
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Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder
The present study showcases a prediction model for estimating the compressive strength of concrete combined with ESP utilizing machine-learning...
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Residual stress effects during additive manufacturing of reinforced thin nickel–chromium plates
Additive manufacturing (AM) is a powerful technique for producing metallic components with complex geometry relatively quickly, cheaply and directly...
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Proceedings of the 22nd Engineering Applications of Neural Networks Conference EANN 2021
This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both...
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Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
It has been claimed throughout the last two decades that hydrological machine learning (ML) models may produce more accurate and resilient...
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Fake News Classification Using Vectorized Semantic and Syntactical Analysis
The sudden growth in wireless communication, computing, and insightful device management has led to the rapid spread of the Internet all over the...
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A writing style-based multi-task model with the hierarchical attention for rumor detection
With the development of the Internet and social media, the harm caused by rumors has become more and more serious. Existing rumor detection methods...
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An Improved Architecture of Group Method of Data Handling for Stability Evaluation of Cross-sectional Bank on Alluvial Threshold Channels
The depth and surface of the water in the center of stable channels are two variables the majority of river engineers have been studying. As, the...