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Design of smart waste bin and prediction algorithm for waste management in household area
Published 2018“…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. …”
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Development of artificial neural network model in predicting performance of the smart wind turbine blade
Published 2014“…The various stages involved in the development of a genetic algorithm based neural network model are addressed in detail in this paper.…”
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Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Subsequently, four distinct algorithms are trained with the collected dataset to ascertain the most optimal algorithm for predicting crop growth and harvesting time, resulting in the selection of the Random Forest Regression model, which attains the highest model score of 86%. …”
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Development of artificial neural network model in predicting performance of the smart wind turbine blade
Published 2013“…The various stages involved in the development of genetic algorithm based neural network model are addressed at length in this paper.…”
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Development of high quality speech compression system for Quranic recitation based on modified CELP algorithm
Published 2013“…On such limited device, a high quality speech compression for Quranic recitation is favorable. In this paper, we developed a high quality speech compression for Quranic recitation by modifying Code Excited Linear Prediction (CELP) algorithm. …”
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Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin
Published 2023“…Advanced data analytics and machine learning algorithms process this data, enabling the system to detect potential safety hazards, monitor construction progress, and predict resource requirements. …”
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming
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Intelligent decision support systems: transforming smart cities management
Published 2024“…A comparison of the energy used by promised by these algorithms including LSTM, SVM, KNN, and the OPTIMUS, a system is developed that enables smart cities to significantly save energy hence highlighting its efficiency. …”
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Proceeding Paper -
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Wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning
Published 2023“…In this aspect, this study develops a new wearables-assisted smart health monitoring for sleep quality prediction using optimal deep learning (WSHMSQP-ODL) model. …”
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A development of IoT based basal body temperature (BBT) device with ovulation and pregnancy prediction system using fuzzy logic method
Published 2019“…Therefore, this research has developed a prototype named TempIoT1.0 which is a BBT device that's equipped with a smart fertility prediction using fuzzy logic intelligence computational method that can predict ovulation and pregnancy. …”
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Thesis -
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Smart thermal comfort system: a development of the fundamental control algorithm
Published 2004“…This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. …”
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An intelligent hybrid short-term load forecasting model for smart power grids
Published 2017“…In this model, a global best particle swarm optimization (GPSO) algorithm is applied as a new training technique to enhance the performance of ANN prediction. …”
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Smart thermal comfort system: a development of the fundamental control algorithm
Published 2004“…This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. …”
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Development of near-sea-level Langley calibration algorithm for aerosol optical depth measurement
Published 2014“…It is found that the AODs predicted by the proposed algorithm agree well to the reference values obtained from i-SMARTS model with high linearity and small error <3% for all wavelengths. …”
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A review on machine learning in smart antenna: methods and techniques
Published 2022“…According to several research circles, it is predicted that future wireless systems that employ smart antenna techniques would be more effective at using available spectrum and at building new networks at lower cost, while also improving service quality and allowing for cross-technology operation. …”
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The prediction of sleep quality using wearable-assisted smart health monitoring systems based on statistical data
Published 2023“…The DBN model uses the auto-encoders algorithm (AEA) to predict popularity, which improves the accuracy of its predictions of sleep quality. …”
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Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory
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