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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

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Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems by Manu, Abdurrahman, Haja Mohideen, Ahmad Jazlan, Akhter, Muhammad Naveed, Ahmad Huzri, Muhammad Danial, Mohd Ibrahim, Azhar, Mohd Zaki, Hasan Firdaus, Sreeram, Victor

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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

“…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
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Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique / Muhammad Naveed Akhter by Muhammad Naveed, Akhter

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Ramp-rate control smoothing methods to control output power fluctuations from solar photovoltaic (PV) sources�A review by Sukumar S., Marsadek M., Agileswari K.R., Mokhlis H.

Beyond the classroom: digital language learning in the Malaysian context by Mohd Nadzrin, Nur Amelia, Md Yunus, Melor, Mohd Said, Nur Ehsan

“…While proven effective in temperate regions, its application in tropical climates presents unique challenges, including high humidity, intense solar radiation, and consistently elevated temperatures. …”
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Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm by Lim, Song Wei

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Effect of particle size on second law of thermodynamics analysis of Al2O3 nanofluid: Application of XGBoost and gradient boosting regression for prognostic analysis by Kumar K P., Alruqi M., Hanafi H.A., Sharma P., Wanatasanappan V.V.

Cut-off solar charge controller as an alternative towards system efficiency optimization by Sabry, Ahmad H., Almassri, Ahmed M., Wan Hasan, Wan Zuha, Mohd Radzi, Mohd Amran, Ab Kadir, Mohd Zainal Abidin, Shafie, Suhaidi

“…Based on the concept of optimizing the efficiency of the automated solar system in residential buildings application, this paper proposed a High efficiency solar Cut-Off charge controller as an alternative to the main solar charge controller in most conventional buildings solar system, the idea is to design an electronic circuit with low losses as a compared with the conventional charge controller to be a part of the integrated and automated building solar system, the design has an algorithm based on some environment parameters like sun Irradiance and weather temperature, this algorithm seems to be inversely calculated because its start from the value of full charge battery voltage. …”
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Alternative solar-battery charge controller to improve system efficiency by Sabry, Ahmad H., Wan Hasan, Wan Zuha, Ab Kadir, Mohd Zainal Abidin, Mohd Radzi, Mohd Amran, Shafie, Suhaidi

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Design and development of a solar based air conditioning blower system for vehicle by Abdullah, Muhammad Amirul, Ahmad, Salmiah, Toha, Siti Fauziah

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Solar panel tracker model using PIC16F877A by Noor Kamal, Noralif Khairrurijaal

“…This paper presents an application of a solar panel tracker module that measures the output voltage of solar panel in Photovoltaic (PV) application and tracks the sun's movement in order to get optimum exposure of the sun's irradiance. …”
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Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models� parameters by Yousri D., Thanikanti S.B., Allam D., Ramachandaramurthy V.K., Eteiba M.B.

E4ML: Educational Tool for Machine Learning by Sainin, Mohd Shamrie, Siraj, Fadzilah

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Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

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Propose a New Machine Learning Algorithm based on Cancer Diagnosis by Ali, Mohammed Hasan, Kohbalan, Moorthy, Anad, Mohammed Morad, Mohammed, Mohammed Abdulameer

“…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

“…In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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A comparative analysis of LSTM, SVM, and GSTANN models for enhancing solar power prediction by M. Helmy, Muhammad Fareezy Fahmy, Yusoff, Siti Hajar, Mansor, Hasmah, Gunawan, Teddy Surya, Chowdhury, Israth Jahan, Mohd Sapihie, Siti Nadiah

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DC-based PV-powered home energy system by Sabry, Ahmad H.

“…In residential applications, energy engineers are always looking for optimal utilization of solar power to manage the energy use and reduce its impact on our economy and environment. …”
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