Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

“…However, analysis of vibration signals using artificial neural network (ANN) is mostly via development of classification models, which cannot be suitably applied to several varied machine types and specifications. …”
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar

“…An effort has been made to develop concrete compressive strength prediction models with the help of two emerging data mining techniques, namely, Artificial Neural Networks (ANNs) and Genetic Programming (GP). …”
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Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems by L. Cardoso, F. Marins, R. Magalhães, N. Marins, T. Oliveira, H. Vicente, A. Abelha, J. Machado, J. Neves

“…Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.…”
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Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2 by Jiantao Liu, Xiaoxiang Yang

“…This paper presents an effective method employing the Kinect sensor V2 and an artificial neural network for vibration frequency measurement. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Furthermore, in diabetic disease modelling, artificial neural networks have demonstrated outstanding accuracy compared to alternative methods such as machine learning, regression, artificial neural networks, and decision trees.…”
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Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network by Van Quan Tran

“…In this investigation, the artificial neural network (ANN) model is introduced to forecast the compressive strength. …”
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Predicting Water Saturation in a Greek Oilfield with the Power of Artificial Neural Networks by Mohammed Gad, Ahmed Abdulhamid Mahmoud, George Panagopoulos, Paschalia Kiomourtzi, Panagiotis Kirmizakis, Salaheldin Elkatatny, Umair bin Waheed, Pantelis Soupios

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Method for detecting anomalies in geomagnetic field variations based on artificial neural network by Imashev, Sanjar A.

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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

“…This study aims to classify various stress calls in broilers exposed to cold, heat, or wind, using acoustic signal processing and a transformer artificial neural network (ANN). Two consecutive trials were conducted with varying amounts of collected data, and three ANN models with the same architecture but different parameters were examined. …”
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Artificial Neural Networks and Fuzzy Neural Networks for Solving Civil Engineering Problems by Milos Knezevic, Meri Cvetkovska, Tomáš Hanák, Luis Braganca, Andrej Soltesz

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Application of Artificial Neural Network for Damage Detection in Planetary Gearbox of Wind Turbine by Marcin Strączkiewicz, Tomasz Barszcz

“…To overcome this obstacle, it is proposed to detect a fault development with Artificial Neural Network (ANN) and further observation of linear regression parameters calculated on the estimation error between healthy and unknown condition. …”
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Determining the Thermal Conductivity of Clay during the Freezing Process by Artificial Neural Network by Xiuling Ren, Yanhui You, Qihao Yu, Guike Zhang, Pan Yue, Mingyang Jin

“…By measuring the thermal conductivity of clay using a transient hot-wire method in the laboratory, the influential factors of the thermal conductivity of soils during the freezing process were analyzed, and a predictive model of thermal conductivity was developed with an artificial neural network (ANN) technology. The results show that the variation of thermal conductivity can be divided into three stages with decreasing temperature, positive temperature stage, transition stage, and negative temperature stage. …”
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Utilizing Artificial Neural Network for Load Prediction Caused by Fluid Sloshing in Tanks by Hossein Goudarzvand Chegini, Gholamreza Zarepour

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Optimization of power system load forecasting and scheduling based on artificial neural networks by Jiangbo Jing, Hongyu Di, Ting Wang, Ning Jiang, Zhaoyang Xiang

Subjects: “…Artificial neural networks…”
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High-Performance Inverse Artificial Neural Network Controller for Asynchronous Motor Control by Benyekhlef Kada, Mourad Hebali, Ibrahim Farouk Bouguenna, Benaoumeur Ibari, Menouer Bennaoum

“…These inverse artificial neural networks have been learned from conventional control system (PI controller and vector control) data using MATLAB software. …”
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Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan by Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, Hasnain Iftikhar, Mohd Ziaur Rehman, S. A. Atif Salar

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Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

“…Abstract Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. …”
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CT-Scan Method-based Artificial Neural Network for Diagnosis of COVID-19 by Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan

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Artificial neural networks for stability analysis and simulation of delayed rabies spread models by Ramsha Shafqat, Ateq Alsaadi

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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…In order to assess the reliability of distribution systems, more and more researchers are directing their attention to the artificial intelligent method, and several reliability indices have been proposed, such as basic load point indices and system performance indices. Artificial neural network is recently established as a useful and much promising too, applied to variety of power systems engineering. …”
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