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241
Investigation into participation of annexins in the response of Arabidopsis thaliana roots to lead (Pb) exposure: Preliminary study
Published 2007“…Primers for annexin 1 (AnnAt1) have been obtained and testing for RT-PCR is now underway.…”
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Proceeding Paper -
242
Artificial intelligence model to predict surface roughness of Ti-15-3 alloy in EDM process
Published 2011“…Hence, the present research proposes artificial neural network (ANN) models for the prediction of surface roughness on first commenced Ti-15-3 alloy in electrical discharge machining (EDM) process. …”
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243
Modeling the electrical parameters in EDM process of Ti6Al4V alloy using Neural Network method
Published 2013“…In this research, the Artificial Neural Network (ANN) was applied as an effective tool for modeling and predicting the surface roughness (SR), Material Removal Rate (MRR) and Tool Wear Rate (TWR). …”
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244
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245
Forgery detection in medical images using Complex Valued Neural Network (CVNN)
Published 2011“…Capabilities of Neural Networks features have been exploited using the Complex version of ANN, trained by Complex backpropagation (CBP) algorithm. …”
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246
Tomato leaves methanol extract posses anti-inflammatory activity via inhibition of Lipopolysacharide (LPS)-induced Prostaglandin (PGE2)
Published 2011“…In this study, in order to observe the antiinflammatory action of Solanum lycopersicum extract on lipopolysaccharide (LPS)-stimulated macrophages, its inhibitory of inflammation activity was investigated by observing the Prostaglandin E2 (PGE2 ) production using PGE2 enzyme immunometric assay kit (Cayman CO., Ann Arbor, MI, USA). Results showed that the tomato leaves extract inhibited the productions of inflammatory mediators (PGE2 ) which plays a central role in the anti-inflammatory activity. …”
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Proceeding Paper -
247
Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network
Published 2020“…MLP is a deep learning algorithm used in the Artificial Neural Network (ANN). The algorithms were modelled using rainfall historical data with four input meteorological variables which are humidity, wind speed, pressure and temperature over the period of 1987 to 2017. …”
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Article -
248
Comparison of intelligent approaches for cycle time prediction in injection moulding of a medical device product
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Conference or Workshop Item -
249
Impact of digital assistant attributes on millennials' purchasing intentions: a multi-group analysis using PLS-SEM, artificial neural network and fsQCA
Published 2024“…A combined approach of PLS-SEM, Artificial Neural Network (ANN) and Fuzzy-set Qualitative Comparative Analysis (fsQCA) is used to predict the PUI of 345 millennials. …”
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250
Integration of Artificial Intelligence in sustainable manufacturing: current status and future opportunities
Published 2023“…Content analysis of extant literature reveals that Genetic Algorithm (GA), Artificial Neural Network (ANN), and Fuzzy Logic are the most widely used AI techniques in SM. …”
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Article -
251
How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation
Published 2023“…Design/methodology/approach: The present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM, and SM. …”
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252
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Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
Published 2013“…The classification of the EMG signals based on different force and thumb configurations is performed using an Artificial Neural Network (ANN).From a series of experiments, the results show that the neural network efficiently classified the signals and a unique set of EMG signals was generated for each thumb movement and force. …”
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254
Flank wears simulation by using back propagation neural network when cutting hardened H-13 steel in CNC End Milling
Published 2013“…Artificial neural network (ANN ) was applied to predict the flank wear length. …”
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Proceeding Paper -
255
Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network
Published 2016“…However, the existence of WHRM affects the performance of engine by slightly reducing the power.The simulation method is created using an artificial neural network (ANN) which predicts the power produced from theWHRM.…”
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256
Deep learning for emotional speech recognition
Published 2020“…Different extracted features like MFCC as well as feature classifications methods like HMM, GMM, LTSTM and ANN are also researched. This research will also investigate different speech emotion databases that are commonly used. …”
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Proceeding Paper -
257
Infilling streamflow data using HEC_HMS
Published 2020“…These techniques include regression analysis ,rainfall runoff modelling and the use of artificial neural networks(ANN) data driven models. In this study, the HEC-HMS model is used to simulate long term daily streamflow of Sg Melaka. …”
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The observation on the inhibition of anti-inflammatory mediator of the tomato leaves extract
Published 2011“…enl}me immunometric assay kit (Cayman CO.. Ann Arbor, MI, USA). Then, the c,)Ocentrations of rGE! …”
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