Search Results - (( intelligence aided learning algorithm ) OR ( intelligence based method algorithm ))
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Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…Based on the design of modeling elements of Luoshan shadow puppets, this paper analyzes the characteristics of visual elements of shadow puppet creative goods, puts forward an intelligent design algorithm of shadow puppet creative goods based on DL, and explores the computer-aided shadow puppets modeling design strategy driven by artificial intelligence. …”
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Proceeding -
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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review
Published 2021“…Artificial intelligence technologies that benefited healthcare include machine learning, natural language processing, rule-based expert system, physical robots, and robotics process automation. …”
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A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
Published 2022“…Over the past few years, Machine-learning algorithms and Artificial intelligence models have demonstrated great ability to optimize and automate critical solid waste and waste management complications. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…To further enhance COVID-19 lesion estimation, novel optimization strategies, including a hybrid simulated annealing-cuckoo search (SA-CS) algorithm, are introduced alongside the original SA method. …”
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Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations
Published 2025“…Traditional voxel-based morphometry (VBM) used for measuring hippocampal volume can be time-laborious and sensitive to pre-processing errors, thus CNN-based algorithms can minimize the time and reduce human errors. …”
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The framework of inventory prediction model using ABC analysis for inventory management / Umi Safierah Masdiki and Rozita Kadar
Published 2024“…Utilizing the CRISP-DM model as a framework, this study applies ABC analysis in the development of the prediction model. The choice of algorithm for this study will be based on selecting the best algorithm for model development proposal. …”
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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
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Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…The developed navigators utilize artificial intelligence (AI) based on adaptive neuro-fuzzy inference system (ANFIS), to fuse data from both systems and estimate position and velocity errors. …”
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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…In the financial sector, machine learning algorithms are used to detect fraud, automate trading, and provide financial advice to investors. …”
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Artificial intelligence in diagnosing tuberculosis: a review
Published 2019“…In the past fifty years, due to the advanced and sophisticated technologies, in medical as well as computer science fields, have paved a way to utilize the essence of both the areas. In Artificial Intelligence (AI) various Machine Learning (ML) algorithms have furthered the interests in Computer-aided Detection (CADe) and Diagnosis (CADx) methods. …”
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Cervical Cancer Detection Techniques: A Chronological Review
Published 2024journal::journal article -
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Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Published 2023“…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Subjects: “…Intelligent water drops algorithm…”
Conference Paper -
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Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G
Published 2023“…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Published 2023“…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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