Mechanical properties of concrete containing palm oil fuel ash and modified expanded polystyrene beads as replacement materials using finite element method by Ruslan, Mohd Syamil, Osman, Mohamad Hairi, Mahamad, Mimi Suliza, A Rahman, Noor Khazanah, Adnan, Suraya Hani, Salim, Salman, Mat Nor, Ahmad Hakimi

“…The purpose of this research was to focus on replacement of the modified expanded polystyrene beads (EPS) as a fine aggregate and the palm oil fuel ash (POFA) as a cement in term of mechanical properties of concrete. …”
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An improved data classification framework based on fractional particle swarm optimization by Sherwani, Fahad

“…Therefore, this research proposed an improved Mutually-Optimized Fractional PSO (MOFPSO) algorithm based on fractional derivatives and small step lengths to ensure convergence to global optima by supplying a fine balance between exploration and exploitation. …”
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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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A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques by Hakim, S. J. S., Mhaya, A. M., Ibrahim, M. H. W., Mohammadhasani, M., Mokhatar, S. N., Paknahad, M., Kamarudin, A. F.

“…In this research, adaptive neuro-fuzzy inference system (ANFIS) and ANNs are developed to predict the shear capacity of RC beams. …”
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A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques by Hakim, S. J. S., Mhaya, A. M., Ibrahim, M. H. W., Mohammadhasani, M., Mokhatar, S. N., Paknahad, M., Kamarudin, A. F.

“…In this research, adaptive neuro-fuzzy inference system (ANFIS) and ANNs are developed to predict the shear capacity of RC beams. …”
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Intergration of control chart and pattern recognizer for bivariate quality control by Mohd Sohaimi, Nurul Adlihisam

“…Design considerations involved extensive simulation experiments to select input representation based on raw data and statistical features, recognizer design structure based on individual and Statistical Features-ANN models, and monitoring-diagnosis approach based on single stage and two stages techniques. …”
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Development of Brain Computer Interface (BCI) system for integration with Functional Electrical Stimulation (FES) application by Ahad, Rosnee

“…The selected features were classified by using Artificial Neural Network (ANN) application to obtain the maximum classification rate. …”
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Data redundancy reduction using sensitivity analysis method for machine-learning-based battery management system by Mustaza, Muhammad Syafiq Anwar

“…The newly formed reduced-sized dataset is applied to ML techniques: artificial neural network (ANN), deep learning (DL), and modified adaptive neuro-fuzzy inference system (MANFIS). …”
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Morphology and molecular characterization of Pseudo-nitzschia (Bacillariophyceae) from Malaysian Borneo, including the new species Pseudo-nitzschia circumpora sp. Nov by Hong-Chang, Lim, Chui-Pin , Leaw, Nyun-Pau Su, Suriyanti, Sing-Tung, Teng, Usup, Gires, Mohammad Noor, Normawaty, Lundholm, Nina, Kotaki, Yuichi, Po-Teen , Lim

“…Most notably this morphotype possessed a characteristic pore arrangement in the poroids, with the fine pores in each perforation sector arranged in circles. …”
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An enhanced scheme to support QoS in MIPv6 based networks using DiffServ by Ibrahim, Loay, Hassan Abdalla Hashim, Aisha, Anwar, Farhat, Khalifa, Othman Omran, Mahmoud, Omer, Hameed, Shihab A., Daoud, Jamal Ibrahim

“…The Best-Effort service works fine with the conventional Internet applications (non real-time applications) such as remote login, electronic mail and file transfer. …”
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Stability testing of oil-in-water emulsion of Syzygium aromaticum (clove) by Abdul Ghafar, Syafiq, Yusof, Fathin Athirah, Mohd Shafri, Mohd Affendi

“…Briefly, dried flower buds of cloves were grounded into a fine dry powder and macerated in absolute ethanol solvent for 48 h duration with intermittent shaking at the room temperature. …”
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Effect of variable particle size reinforcement on mechanical and wear properties of 6061Al–SiCp composite by Adebisi, Adetayo Abdulmumin, Maleque, Md. Abdul, Ali, Mohammad Yeakub, Bello, Kamil Adeyemi

“…The SPS comprises three categories; fine (15 μm), intermediate (40 μm) and coarse (80 μm) particle sizes and combination of the three sizes accounts for the MPS in the ratio 1:1:2, respectively. …”
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Controversies with self-emulsifying drug delivery system from pharmacokinetic point of view by Chatterjee, Bappaditya, Hamed Almuris, Samah, Ahmed Mahdi Dukhan, Ather, Mandal, Uttam Kumar Umar, Sengupta, Pinaki

“…Self-emulsifying drug delivery system (SEDDS) is an isotropic mixture of lipid, surfactant and co-surfactant, which forms a fine emulsion when comes in contact of an aqueous medium with mild agitation. …”
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Wear behavior of as-cast and heat treated triple particle size SiC reinforced aluminium metal matrix composites by Maleque, Md. Abdul, Karim, Md. Rezaul

“…The TPS composite consist of SiC of three different sizes viz., coarse, intermediate, and fine. The solution heat treatment was done on AC composite at 540°C for 4?…”
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Metabolic engineering of cofactor F420 production in mycobacterium smegmatis by Bashiri, Ghader, Mohamed Rehan, Aisyah, Greenwood, David R., Dickson, James M. J., Baker, Edward N.

“…A combination of co–expression of the F420 biosynthetic proteins and fine-tuning of the culture media has enabled us to achieve F420 production levels of up to 10 times higher compared with the wild type M. smegmatis strain. …”
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Microbial induced calcite precipitation treatment on tropical residual soil by Tiong, Kenny Ping Chiet

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