Development of QSAR-based (MLR/ANN) predictive models for effective design of pyridazine corrosion inhibitors
Twenty pyridazine derivatives with previously reported experimental data were utilized to
develop predictive models for the anticorrosion abilities of pyridazine-based compounds …
develop predictive models for the anticorrosion abilities of pyridazine-based compounds …
Effectiveness analysis of PMSM motor rolling bearing fault detectors based on vibration analysis and shallow neural networks
Permanent magnet synchronous motors (PMSMs) are becoming more popular, both in
industrial applications and in electric and hybrid vehicle drives. Unfortunately, like the …
industrial applications and in electric and hybrid vehicle drives. Unfortunately, like the …
DeepSHM: A deep learning approach for structural health monitoring based on guided Lamb wave technique
V Ewald, RM Groves… - Sensors and Smart …, 2019 - spiedigitallibrary.org
In our previous work, we demonstrated how to use inductive bias to infuse a convolutional
neural network (CNN) with domain knowledge from fatigue analysis for aircraft visual NDE …
neural network (CNN) with domain knowledge from fatigue analysis for aircraft visual NDE …
Impact of non-linear high-power amplifiers on cooperative relaying systems
In this paper, we investigate the impact of the high-power amplifier non-linear distortion on
multiple relay systems by introducing the soft envelope limiter, traveling wave tube amplifier …
multiple relay systems by introducing the soft envelope limiter, traveling wave tube amplifier …
River suspended sediment prediction using various multilayer perceptron neural network training algorithms—a case study in Malaysia
MR Mustafa, RB Rezaur, S Saiedi, MH Isa - Water resources management, 2012 - Springer
Estimation of suspended sediment discharge in rivers has a vital role in dealing with water
resources problems and hydraulic structures. In this study, a Multilayer Perceptron (MLP) …
resources problems and hydraulic structures. In this study, a Multilayer Perceptron (MLP) …
Predicting protection capacities of pyrimidine-based corrosion inhibitors for mild steel/HCl interface using linear and nonlinear QSPR models
Pyrimidine compounds have proven to be effective and efficient additives capable of
protecting mild steel in acidic media. This class of organic compounds often functions as …
protecting mild steel in acidic media. This class of organic compounds often functions as …
Predicting of blasting vibrations in Sarcheshmeh copper mine by neural network
Artificial Neural Networks (ANN) have proven to be an effective tool for solving complex
engineering problems requiring estimation, pattern recognition, and classification of …
engineering problems requiring estimation, pattern recognition, and classification of …
Compressive strength prediction of stabilized dredged sediments using artificial neural network
VQ Tran - Advances in Civil Engineering, 2021 - Wiley Online Library
Stabilized dredged sediments are used as a backfilling material to reduce construction costs
and a solution to environmental protection. Therefore, the compressive strength is an …
and a solution to environmental protection. Therefore, the compressive strength is an …
The assessment of response surface methodology (RSM) and artificial neural network (ANN) modeling in dry flue gas desulfurization at low temperatures
The performance of a flue gas desulfurization (FGD) system is characterized by SO2
removal efficiency (Y 1) and reagent conversion (Y 2). Achieving a near-perfect reaction …
removal efficiency (Y 1) and reagent conversion (Y 2). Achieving a near-perfect reaction …
Artificial neural network based vertical handoff algorithm for reducing handoff latency
One of the most challenging topics for next generation wireless networks is vertical handoff
concept since several wireless technologies are assumed to cooperate. Plenty of …
concept since several wireless technologies are assumed to cooperate. Plenty of …