Search Results - "Abd Rahman, Mohd Amiruddin"

Predicting the density of carbon-based nanomaterials in diesel oil through computational intelligence methods by Alade, Ibrahim Olanrewaju, Oyedeji, Mojeed Opeyemi, Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A.

“…The density of nanofluid is a crucial property in heat transfer applications, and it is important in the determination of various heat transfer parameters such…”
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Energy harvesting based routing protocol for underwater sensor networks by Khan, Adil, Khan, Mukhtaj, Ahmed, Sheeraz, Abd Rahman, Mohd Amiruddin, Khan, Mushtaq

“…Underwater sensor networks (UWSNs) are ad-hoc networks which are deployed at rivers, seas and oceans to explore and monitor the phenomena such as pollution…”
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Prediction of Band Gap Energy of Doped Graphitic Carbon Nitride Using Genetic Algorithm-Based Support Vector Regression and Extreme Learning Machine by Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

“…Graphitic carbon nitride is a stable and distinct two dimensional carbon-based polymeric semiconductor with remarkable potentials in organic pollutants…”
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Modeling Superconducting Critical Temperature of 122-Iron-Based Pnictide Intermetallic Superconductor Using a Hybrid Intelligent Computational Method by Akomolafe, Oluwatobi, Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin, Awang Kechik, Mohd Mustafa, Yasin, Mohd Najib Mohd, Souiyah, Miloud

“…Structural transformation and magnetic ordering interplays for emergence as well as suppression of superconductivity in 122-iron-based superconducting…”
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The Effect of MWCNTs Filler on the Absorbing Properties of OPEFB/PLA Composites Using Microstrip Line at Microwave Frequency by Ibrahim Lakin, Ismail, Abbas, Zulkifly, Azis, Rabaah Syahidah, Ibrahim, Nor Azowa, Abd Rahman, Mohd Amiruddin

“…Oil palm empty fruit bunch (OPEFB) fiber/polylactic acid (PLA)-based composites filled with 6–22 wt.% multi-walled carbon nanotubes (MWCNTs) were prepared…”
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Tailoring the Energy Harvesting Capacity of Zinc Selenide Semiconductor Nanomaterial through Optical Band Gap Modeling Using Genetically Optimized Intelligent Method by Olubosede, Olusayo, Abd Rahman, Mohd, Alqahtani, Abdullah, Souiyah, Miloud, Latif, Mouftahou, Oke, Wasiu, Aldhafferi, Nahier, Owolabi, Taoreed

“…Zinc selenide (ZnSe) nanomaterial is a binary semiconducting material with unique features, such as high chemical stability, high photosensitivity, low cost,…”
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An improved hybrid indoor positioning system based on surface tessellation artificial neural network by Ullah Khan, Imran, Ali, Tariq, Farid, Zahid, Scavino, Edgar, Amiruddin Abd Rahman, Mohd, Hamdi, Mohammed, Qiao, Gang

“…In indoor environments, accurate location or positioning becomes an essential requirement, driven by the need for autonomous moving devices, or to identify the…”
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A Migration Aware Scheduling Technique for Real-Time Aperiodic Tasks Over Multiprocessor Systems by Khan, Ayaz Ali, Ali, Abid, Zakarya, Muhammad, Khan, Rahim, Khan, Mukhtaj, Rahman, Izaz Ur, Rahman, Mohd Amiruddin Abd

“…Multi-processor systems consist of more than one processor and are mostly used for computationally intensive applications. Real-time systems are those systems…”
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Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm by Alade, Ibrahim Olanrewaju, Abd Rahman, Mohd Amiruddin, Saleh, Tawfik A.

“…•A model for estimating the specific heat capacity of Al2O3/EG nanofluid is proposed.•The proposed model exhibits a 99.95% correlation coefficient with…”
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A Heuristic Approach for Finding Similarity Indexes of Multivariate Data Sets by Khan, Rahim, Zakarya, Muhammad, Khan, Ayaz Ali, Rahman, Izaz Ur, Abd Rahman, Mohd Amiruddin, Abdul Karim, Muhammad Khalis, Mustafa, Mohd Shafie

“…Multivariate data sets (MDSs), with enormous size and certain ratio of noise/outliers, are generated routinely in various application domains. A major issue,…”
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Variable Selection via SCAD-Penalized Quantile Regression for High-Dimensional Count Data by Khan, Dost Muhammad, Yaqoob, Anum, Iqbal, Nadeem, Wahid, Abdul, Khalil, Umair, Khan, Mukhtaj, Rahman, Mohd Amiruddin Abd, Mustafa, Mohd Shafie, Khan, Zardad

“…This article introduces a quantile penalized regression technique for variable selection and estimation of conditional quantiles of counts in sparse…”
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Ecological–Health Risk Assessments of Copper in the Sediments: A Review and Synthesis by Yap, Chee Kong, Saleem, Muhammad, Tan, Wen Siang, Syazwan, Wan Mohd, Azrizal-Wahid, Noor, Nulit, Rosimah, Ibrahim, Mohd. Hafiz, Mustafa, Muskhazli, Rahman, Mohd Amiruddin Abd, Edward, Franklin Berandah, Arai, Takaomi, Cheng, Wan Hee, Okamura, Hideo, Ismail, Mohamad Saupi, Kumar, Krishnan, Avtar, Ram, Al-Mutair, Khalid Awadh, Al-Shami, Salman Abdo, Subramaniam, Geetha, Wong, Ling Shing

“…The ecological and children’s Health Risk Assessments (HRA) of Copper (Cu) in aquatic bodies ranging from rivers, mangrove, estuaries, and offshore areas were…”
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Application of support vector regression and artificial neural network for prediction of specific heat capacity of aqueous nanofluids of copper oxide by Alade, Ibrahim Olanrewaju, Abd Rahman, Mohd Amiruddin, Abbas, Zulkifly, Yaakob, Yazid, Saleh, Tawfik A.

“…•The specific heat capacity (SCH) of CuO/water nanofluids was accurately modelled using SVR and ANN models.•The SVR model has a higher prediction accuracy than…”
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Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model by Alade, Ibrahim Olanrewaju, Bagudu, Aliyu, Oyehan, Tajudeen A., Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A., Olatunji, Sunday Olusanya

“…•GA-SVR models for estimation of refractive index of oxygenated and deoxygenated hemoglobin is presented.•The proposed models are characterized by over 99.8%…”
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An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression by Alade, Ibrahim Olanrewaju, Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A.

“…•SVR model for specific heat capacity of nitrides/EG-based nanofluids is developed.•SVR model parameters were optimized using the Bayesian optimization…”
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Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning framework by Aidil Zulkafli, Nadhirah, Elyca Anak Bundak, Caceja, Amiruddin Abd Rahman, Mohd, Chin Yap, Chi, Chong, Kok-Keong, Tee Tan, Sin

“…•Single-input strategy was used to assessed the prediction analysis.•Linear regression analysis was used to study the accuracy of PCE.•RBF PSO-SVR showed the…”
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Prediction of the lattice constants of pyrochlore compounds using machine learning by Alade, Ibrahim Olanrewaju, Oyedeji, Mojeed Opeyemi, Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A.

“…The process of material discovery and design can be simplified and accelerated if we can effectively learn from existing data. In this study, we explore the…”
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Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm by Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

“…We developed particle swarm optimization-based support vector regression (PSVR) and ordinary linear regression (OLR) models for estimating the refractive index…”
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Earthquake Prediction Model Based on Geomagnetic Field Data Using Automated Machine Learning by Yusof, Khairul Adib, Mashohor, Syamsiah, Abdullah, Mardina, Rahman, Mohd Amiruddin Abd, Hamid, Nurul Shazana Abdul, Qaedi, Kasyful, Matori, Khamirul Amin, Hayakawa, Masashi

“…The observation of geomagnetic anomalies appearing prior to earthquakes (EQs) is theorized to be generated by underground seismic processes. However, these pre…”
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Energy Band Gap Modeling of Doped Bismuth Ferrite Multifunctional Material Using Gravitational Search Algorithm Optimized Support Vector Regression by Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

“…Bismuth ferrite (BiFeO3) is a promising multiferroic and multifunctional inorganic chemical compound with many fascinating application potentials in sensors,…”
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