Antihypertensive and cardiovascular effects of catechin-rich oil palm (Elaeis guineensis) leaf extract in nitric oxide–deficient rats by Md. Jaffri, Juliana, Mohamed, Suhaila, Rohimi, Nordanial, Ahmad, Intan Natasya, Mohamed Mustapha, Noordin, Manap, Mohd Yazid

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Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control by Jalaludin, Nor Anija, Sidek, Shahrul Na'im, Shamsudin, Abu Ubaidah

“…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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Flank wears simulation by using back propagation neural network when cutting hardened H-13 steel in CNC End Milling by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, ., Muhammad Reza

“…Artificial neural network (ANN ) was applied to predict the flank wear length. …”
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Prediction on Power Produced from Power Turbine as a Waste Heat Recovery Mechanism on Naturally Aspirated Spark Ignition Engine Using Artificial Neural Network by Herawan, Safarudin Gazali, Rohhaizan, Abdul Hakim, Ismail, Ahmad Faris, Shamsudin, Shamsul Anuar, Putra, Azma, Musthafah, Mohd Tahir, Awang, Ardika Ridal

“…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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Deep learning for emotional speech recognition by Alhamada, M. I., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

“…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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Infilling streamflow data using HEC_HMS by Hong, Kee An, Hong, Jer Lang, Ibrahim, Izihan, Hakim, Nur Wajihah

“…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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Multifunctional optimized group method data handling for software effort estimation by Arbain, Siti Hajar

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The observation on the inhibition of anti-inflammatory mediator of the tomato leaves extract by Amid, Azura, Semail, Sulawati, Jamal, Parveen

“…enl}me immunometric assay kit (Cayman CO.. Ann Arbor, MI, USA). Then, the c,)Ocentrations of rGE! …”
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Artificial intelligence model to predict surface roughness of Ti-15-3 alloy in EDM process by Khan, Md. Ashikur Rahman, Maleque, Md. Abdul, Rahman, M.M. Hafizur, Kadirgama, K., Abu Bakar, Rosli

“…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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Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and correlation by Hasan , M. A., Reaz, Mamun Bin Ibne, Ibrahimy, Muhammad Ibn

“…A new methodology by combining the Artificial Neural Network (ANN) and Correlation approach has been proposed in this paper. …”
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Evaluation of different techniques for generating landslide susceptibility map by Mirnazari, Javad

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Spiking neurons in 3D growing self-organising maps by Yusob, Bariah

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Biochemical and psychological effects of omega-3/6 supplements in male adolescents with ADHD: a randomized, placebo-controlled, clinical trial by Matsudaira, Toshiko, Gow, Rachel V., Kelly, Joanna, Murphy, Caroline, Potts, Laura, Sumich, Alexander, Ghebremeskel, Kebreab, Crawford, Michael A., Taylor, Eric

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Buckling Prediction in Steel Columns: Unveiling Insights with Artificial Neural Networks by Hakim, S. J. S, Paknahad, M., Kamarudin, A. F., Ravanfar, S. A., Mokhatar, S. N.

“…Artificial neural networks (ANNs) encompass a category within the field of AI that can learn complex patterns and relationships from datasets. …”
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Supervised Learning Technique for First Order Multipaths Identification of V2V Scenario by A. Bakhuraisa, Yaser, Abd Aziz, Azlan, Tan K. Geok, Tan K. Geok, Abu Bakar, Norazhar, Jamian, Saifulnizan, Mustakim, Fajaruddin

“…Our results showed that all the proposed classifiers provided an acceptable classification performance. The proposed ANN showed the best performance, whereas the NB was the worst. …”
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Modeling sewer overflow of Karbala city with large floating population by Abed Obaid, Hussein

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Nonlinear autoregressive with exogenous input neural network for structural damage detection under ambient vibration by Umar, Sarehati

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Effect of Sigma-1 Receptors on Voltage-Gated Sodium Ion Channels in Colon Cancer Cell Line SW620 by Aydar, Ebru, Palmer, Christopher P.

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Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network by Bihari, Anshita, Dash, Manoranjan, Muduli, Kamalakanta, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil

“…In the second step, multiple linear regression (MLR) and artificial neural network (ANN) were used to analyse the data of 337 retail investors. …”
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Supervised Learning Technique for First Order Multipaths Identification of V2V Scenario by Yaser A. Bakhuraisa, Yaser A. Bakhuraisa, Abd Aziz, Azlan, Tan K. Geok, Tan K. Geok, Abu Bakar, Norazhar, Jamian, Saifulnizan, Mustakim, Fajaruddin

“…Our results showed that all the proposed classifiers provided an acceptable classification performance. The proposed ANN showed the best performance, whereas the NB was the worst. …”
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