Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression von Alade, Ibrahim Olanrewaju, Rahman, Mohd Amiruddin Abd, Hassan, Amjed, Saleh, Tawfik A.

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An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting von Scavino, Edgar, Amiruddin Abd Rahman, Mohd, Farid, Zahid

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Energy harvesting based routing protocol for underwater sensor networks von Khan, Adil, Khan, Mukhtaj, Ahmed, Sheeraz, Abd Rahman, Mohd Amiruddin, Khan, Mushtaq

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

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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 von Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

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Modeling Superconducting Critical Temperature of 122-Iron-Based Pnictide Intermetallic Superconductor Using a Hybrid Intelligent Computational Method von Akomolafe, Oluwatobi, Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin, Kechik, Mohd Mustafa Awang, Yasin, Mohd Najib Mohd, Souiyah, Miloud

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Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm von Alade, Ibrahim Olanrewaju, Abd Rahman, Mohd Amiruddin, Saleh, Tawfik A.

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Tailoring the Energy Harvesting Capacity of Zinc Selenide Semiconductor Nanomaterial through Optical Band Gap Modeling Using Genetically Optimized Intelligent Method von Olubosede, Olusayo, Abd Rahman, Mohd, Alqahtani, Abdullah, Souiyah, Miloud, Latif, Mouftahou, Oke, Wasiu, Aldhafferi, Nahier, Owolabi, Taoreed

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An improved hybrid indoor positioning system based on surface tessellation artificial neural network von Ullah Khan, Imran, Ali, Tariq, Farid, Zahid, Scavino, Edgar, Amiruddin Abd Rahman, Mohd, Hamdi, Mohammed, Qiao, Gang

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A Migration Aware Scheduling Technique for Real-Time Aperiodic Tasks Over Multiprocessor Systems von Khan, Ayaz Ali, Ali, Abid, Zakarya, Muhammad, Khan, Rahim, Khan, Mukhtaj, Rahman, Izaz Ur, Rahman, Mohd Amiruddin Abd

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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 von Alade, Ibrahim Olanrewaju, Abd Rahman, Mohd Amiruddin, Abbas, Zulkifly, Yaakob, Yazid, Saleh, Tawfik A.

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Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model von Alade, Ibrahim Olanrewaju, Bagudu, Aliyu, Oyehan, Tajudeen A., Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A., Olatunji, Sunday Olusanya

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A Heuristic Approach for Finding Similarity Indexes of Multivariate Data Sets von Khan, Rahim, Zakarya, Muhammad, Khan, Ayaz Ali, Rahman, Izaz Ur, Abd Rahman, Mohd Amiruddin, Abdul Karim, Muhammad Khalis, Mustafa, Mohd Shafie

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An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression von Alade, Ibrahim Olanrewaju, Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A.

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Ecological–Health Risk Assessments of Copper in the Sediments: A Review and Synthesis von 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

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Variable Selection via SCAD-Penalized Quantile Regression for High-Dimensional Count Data von Khan, Dost Muhammad, Yaqoob, Anum, Iqbal, Nadeem, Wahid, Abdul, Khalil, Umair, Khan, Mukhtaj, Rahman, Mohd Amiruddin Abd, Mustafa, Mohd Shafie, Khan, Zardad

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Earthquake Prediction Model Based on Geomagnetic Field Data Using Automated Machine Learning von Yusof, Khairul Adib, Mashohor, Syamsiah, Abdullah, Mardina, Rahman, Mohd Amiruddin Abd, Hamid, Nurul Shazana Abdul, Qaedi, Kasyful, Matori, Khamirul Amin, Hayakawa, Masashi

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Prediction of device performance in SnO2 based inverted organic solar cells using Machine learning framework von Aidil Zulkafli, Nadhirah, Elyca Anak Bundak, Caceja, Amiruddin Abd Rahman, Mohd, Chin Yap, Chi, Chong, Kok-Keong, Tee Tan, Sin

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Prediction of the lattice constants of pyrochlore compounds using machine learning von Alade, Ibrahim Olanrewaju, Oyedeji, Mojeed Opeyemi, Rahman, Mohd Amiruddin Abd, Saleh, Tawfik A.

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Energy Band Gap Modeling of Doped Bismuth Ferrite Multifunctional Material Using Gravitational Search Algorithm Optimized Support Vector Regression von Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

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