Search Results - intelligence big ((means algorithm) OR (path algorithm))

Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models by Gholami M., Ghanbari-Adivi E., Ehteram M., Singh V.P., Najah Ahmed A., Mosavi A., El-Shafie A.

Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review by Danyaro, K.U., Hussain, H.H., Abdullahi, M., Liew, M.S., Shawn, L.E., Abubakar, M.Y.

“…This slows down provisioning, while the monitoring element of the Metocean data path is partial. In this paper, we demonstrate the capabilities of ML for the development of Metocean data integration interoperability based on intelligent operations and automation. …”
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review by Danyaro, K.U., Hussain, H.H., Abdullahi, M., Liew, M.S., Shawn, L.E., Abubakar, M.Y.

“…This slows down provisioning, while the monitoring element of the Metocean data path is partial. In this paper, we demonstrate the capabilities of ML for the development of Metocean data integration interoperability based on intelligent operations and automation. …”
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DATA ANALYTICS FOR HOSPITAL OPERATIONS by EL SAFTY, ABDULRAHMAN EHAB

“…This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. …”
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Common cancer biomarkers of breast and ovarian types identified through artificial intelligence by Pawar, Shrikant, Liew, Tuck Onn *, Stanam, A., Lahiri, Chandrajit *

“…In this context, different clustering analyses like hierarchical and k‐means along with random forest algorithm have been utilized to classify important genes from a pool of several thousand genes. …”
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Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

“…These algorithms identify hidden patterns or data groupings without the assistance of a human. …”
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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase by Che Mat @ Mohd Shukor, Zamzarina, Md Sap, Mohd Noor

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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

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Enhancing going concern prediction with Anchor explainable AI and attention-weighted XGBoost by Putthiporn Thanathamathee, Siriporn Sawangarreerak, Dinna Nina Mohd Nizam

“…The developed Attention-Weighted XGBoost algorithm, targeting essential financial indicators, markedly surpasses traditional approaches in prediction by its 98% accuracy, as evidenced by improved precision and recall. …”
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Odour based human identification and classification using neural networks by Ahmed Qusay Sabri, Rayner Alfred

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Forecasting utility management in UiTMCTKKT using predictive analytics / Nur Sufiah Muhammad Taufik by Muhammad Taufik, Nur Sufiah

“…Future iterations could also improve the system using real-time monitoring and machine-learning based predictive algorithms.…”
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Perturbation stochastic model updating of a bolted structure / Mohamad Azam Shah Aziz Shah by Aziz Shah, Mohamad Azam Shah

“…Finally, this study has a great impact on the engineering community by providing reliable analytical Big Data for the creation of intelligent prediction systems.…”
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