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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…Then, in order to cope with the limitations of the existing artificial intelligence (AI) based methods, optimized gene expression programming (GEP) is applied to precisely formulate the relationships between historical data and EEC of ASEAN-5 countries. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…The performance of AI algorithms is enhanced through the data obtained from a data repository or a reliable, secure, trustworthy, and credible platform. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…The performance of AI algorithms is enhanced through the data obtained from a data repository or a reliable, secure, trustworthy, and credible platform. …”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…The other way around, AI is a limb of Computer Science dedicated to developing systems that do what a human does intelligently. …”
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Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]
Published 2017“…In doing this, two ANN algorithms (MLP and RBF) and SMO algorithm were employed and compared. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
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Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq
Published 2023“…To overcome these challenges, the current research aims to develop a SpatioTemporal Decision-Making (STDM) model based on Geospatial Artificial Intelligence (GeoAI) to locate onshore wind-solar hybrid plants. …”
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Pengesanan Kerosakan Bahan Penebat Transformer Dengan Menggunakan Rangkaian Neural Buatan
Published 2006“…This paper is about a study of artificial intelligence (AI) applications for determination of transformer faults. …”
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Stress Classification using Deep Learning with 1D Convolutional Neural Networks
Published 2021“…Artificial Intelligence (AI) interprets external data, learns from such data, and uses the learning to achieve specific goals and tasks. …”
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A Constrained Optimization based Extreme Learning Machine for noisy data regression
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj
Published 2023“…Considering this issue, with the enrichment of technology particularly in Artificial Intelligence (AI) nowadays, this limitation can be overcome. …”
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Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia
Published 2025journal::journal article -
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Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment
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Brain tumor MRI medical images classification with data augmentation by transfer learning of VGG16
Published 2021“…The ability to estimate conclusions without direct human input in healthcare systems via computer algorithms is known as Artificial intelligence (AI) in healthcare. …”
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Retinal Microvascular Feature Extraction Using Faster Region-based Convolutional Neural Network
Published 2021“…This work is dedicated to developing an image processing-based AI method for retinal vessel extraction from retinal images. …”
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Feature extraction and supervised learning for volatile organic compounds gas recognition
Published 2023“…The emergence of advanced technologies, particularly in the field of artificial intelligence (AI), has sparked significant interest in exploring their potential benefits for various industries, including healthcare. …”
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