-
381
-
382
-
383
-
384
-
385
-
386
-
387
-
388
-
389
Damage intensity class for reinforced concrete beam-column joint subjected to lateral cyclic loading
Published 2021“…Keywords: RC beam-column joint; Acoustic emission; Lateral cyclic loading; Shear link aspect; Anchorage length aspect; ANN prediction models…”
Get full text
Thesis -
390
Design optimization for the two-stage bivariate pattern recognition scheme
Published 2015“…In order to overcome this issue, many researches proposed an artificial neural network (ANN) - based pattern recognition schemes. Such schemes were mainly utilize raw data as input representation into an ANN recognizer, which resulted in limited performance. …”
Get full text
Get full text
Get full text
Thesis -
391
Improving modified cocomo ii artificial neural network using hyperbolic tangent activation function
Published 2017“…However, ANN contributes to slow convergence caused by sigmoid function. …”
Get full text
Get full text
Get full text
Thesis -
392
Nondestructive investigation of soil moisture level using optical system
Published 2020“…This research describes the use of an optical system combined with Artificial Neural Network (ANN) for wireless and nondestructive prediction of soil moisture level. …”
Get full text
Get full text
Get full text
Thesis -
393
Development of coated peanut separator and frying skillet machine
Published 2018“…The groundnut is sticking and become like a ping pong size ball and the time consuming to fry is longer. …”
Get full text
Article -
394
Wastewater treatment plant performance evaluation using artificial neural network model
Published 2010“…This Research paper intends to develop a model from the past operational data of WWTP using artificial neural network (ANN) for the evaluation of the plant performance. …”
Get full text
Proceeding Paper -
395
The effect of different industrialized building system (IBS) construction methods compared to the conventional method on occupational safety and health (OSH) industry risks in cons...
Published 2021“…Next, the activities and the risks involved in each activity were tabulated before it was analyzed and validated with the competent professionals. The findings revealed that the major activities in the prefabricated timber framing system and formwork system have low risk compared to the conventional method. …”
Get full text
Get full text
Get full text
Thesis -
396
Mobile health applications digital evidence taxonomy with knowledge sharing approach for digital forensics readiness
Published 2020“…As a conclusion, the integration of digital evidence taxonomy with the knowledge-sharing approach gives the opportunity for the digital forensic community to enhance the existing approach or procedure to increase the findings of a digital forensic investigation and make digital forensic readiness more proactive within the organisation.…”
Get full text
Get full text
Get full text
Thesis -
397
Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network
Published 2018“…The prediction performance of the proposed fully tuned RBF was compared with Multilayer Perceptron (MLP), Hybrid Multilayer Perceptron (HMLP) and RBF networks trained with CT algorithm. The findings indicated that the fully tuned RBF with minimal resource allocating networks (MRAN) automatically selected seven neurons with 9.5177 % prediction accuracy and 5.89ms mean training time. …”
Get full text
Get full text
Get full text
Thesis -
398
Effect of high velocity oxy-fuel (HVOF) coatings on fatigue behaviour of carbon steel
Published 2021“…Similar behaviours are shown by the fatigue properties, as the HVOF coated steel showed a fatigue strength’s reduction of 17% due to the increment of the substrate’s grain size. These findings conclude that HVOF spraying process gives negative impact on the mechanical properties and fatigue properties.…”
Get full text
Get full text
Get full text
Thesis -
399
Intelligent air-cushion tracked vehicle performance investigation: neural-networks
Published 2011“…Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. …”
Get full text
Article -
400