Search Results - intelligence ai ((smart algorithm) OR (_ algorithm))

Sustainability in intelligent building environments using weighted priority scheduling algorithm by Shahi, Ahmad, Sulaiman, Md Nasir, Mustapha, Norwati, Perumal, Thinagaran, Meimandi Parizi, Reza

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Application of Artificial Intelligence In Smart City by Law, Jia Wei

“…Proposals on AI application trends in the Economic dimension are regulated Unmanned Aerial Vehicle (UAV) application, create open resources of data sources, algorithms, and sources of economic AI machines, and assist in financial analysis of the smart city. …”
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A machine learning approach to predict the activity of smart home inhabitant by Marufuzzaman M., Tumbraegel T., Rahman L.F., Sidek L.M.

Smart agriculture economics and engineering: Unveiling the innovation behind ai-enhanced rice farming by Chuan, Zun Liang, Tham, Ren Sheng, Tan, Chek Cheng, Abraham Lim, Bing Sern, Chong, Yeh Sai

“…This article introduced innovative Artificial Intelligence-based (AI-based) predictive algorithms for short-term rice production, utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science framework. …”
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Intelligent decision support systems: transforming smart cities management by Ahmed, Zeinab E., Hassan Abdalla Hashim, Aisha, Mokhtar, Rania A., Saeed, Mamoon M.

“…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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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

“…The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. …”
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming by Zun Liang, Chuan, Tham, Ren Sheng, Tan, Chek Cheng, Abraham Lim, Bing Sern, David Lau, King Luen, Chong, Yeh Sai

“…To address these challenges, an innovative Artificial Intelligence-based (AI-based) predictive algorithm has been proposed, leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) data science framework. …”
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eVtols : smart air mobility project / Muhammad Faiz Abu Hassan by Abu Hassan, Muhammad Faiz

“…The Smart Ocean Mobility Project represents a groundbreaking initiative at the intersection of cutting-edge patrol boat technology and aerial surveillance, driven by artificial intelligence (AI) algorithms. …”
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Machine learning: tasks, modern day applications and challenges by Aljuaid, Lamyaa Zaed, Koh, Tieng Wei, Sharif, Khaironi Yatim

“…Machine learning algorithms learned from available data. Further, this learning laid the foundation to develop AI for the various systems around us. …”
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A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications by Mohammad Kamrul, Hasan, Musse Mohamud, Ahmed, Aisha, Hassan Abdalla Hashim, Abdur Razzaque, Shayla Islam, Biswajeet, Pandey

“…Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. …”
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Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

“…The research compares various algorithms, such as SVM, YOLOv3, YOLOv4, and Dual-Architecture CNN, through a comprehensive review of existing AI applications in dermatology. …”
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A novel artificial intelligence based timing synchronization scheme for smart grid applications by Hasan, Mohammad Kamrul, Ahmed, Musse Mohamud, Hassan Abdalla Hashim, Aisha, Razzaque, Abdur, Islam, Shayla, Pandey, Bishwajeet

“…Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. …”
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Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

“…AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
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Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

“…AI algorithms rely on data or information to learn, analyze, and reach conclusions. …”
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A smart food security monitoring and predicting algorithm for rice productivity in Southeast Asia by Chuan, Zun Liang, Tham, Ren Sheng, Abraham Lim, Bing Sern, David Lau, King Luen

“…Specifically, the methodology integrates Simple Linear Regression–Multivariable Linear Regression (SLR-MLR) into a unified predictive algorithm. By incorporating all four dimensions of food security: availability, accessibility, stability, and utilization, the proposed algorithms outperform conventional Artificial Intelligence (AI) predictive algorithms, offering superior accuracy and actionable insights. …”
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Artificial intelligence-driven vehicle fault diagnosis to revolutionize automotive maintenance: A review by Hossain, Md Naeem, Rahman, Md Mustafizur, D., Ramasamy

“…Due to vehicles’ increasingly complex and autonomous nature, there is a growing urgency to investigate novel diagnosis methodologies for improving safety, reliability, and maintainability. While Artificial Intelligence (AI) has provided a great opportunity in this area, a systematic review of the feasibility and application of AI for Vehicle Fault Diagnosis (VFD) systems is unavailable. …”
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Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

“…Reservoir modeling has advanced from the use of empirical equations through statistical regression tools to the present embrace of Artificial Intelligence (AI) and its hybrid techniques. Due to the high dimensionality and heterogeneity of the sensor data, the capability of conventional AI techniques has become limited as they could not handle more than one hypothesis at a time. …”
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ExploreEasy: Smart and all-in-one trip management application by Yap, Pei Nee

“…This research presents an AI-driven trip planning and recommendation system that employs a Hybrid Recommendation Algorithm, integrating Collaborative Filtering (CF) and Content-Based Filtering (CBF) to provide highly customised travel itineraries. …”
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Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm by Tikhamarine Y., Souag-Gamane D., Najah Ahmed A., Kisi O., El-Shafie A.