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Neutralisation state driven single-agent search strategy for solving constraint satisfaction problem / Saajid Akram Ahmed Abuluaih
Published 2019“…Since Constraint Satisfaction Problem (CSP) is an NP-complete problem, brute-force search algorithms such as Backtracking algorithm (BT) are required as the guarantee to find a solution, when there is one. …”
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…By contrast, the results of the safe path selection model were compared with the results obtained using Dijkstra's algorithm and the Floyd-Warshall algorithm. …”
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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…Fortunately, Artificial Intelligence (AI) has recently attracted a lot of attention, and it is now a principal component of these systems. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
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A novel Bezier curve control point search algorithm for autonomous navigation using N-order polynomial search with boundary conditions
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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…It's a type of Artificial Intelligence (AI) that makes predictions using statistical models. …”
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Intelligent guidance parking system using modified Dijkstra's algorithm
Published 2014“…This paper presents the intelligent parking system which apply Dijkstra’s algorithm in finding the shortest path. …”
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Prescription: Issue No. 7 (July 2024)
Published 2024“…ML, a branch of artificial intelligence (AI), uses algorithms such as neural networks, decision trees, and support vector machines to learn from large datasets and make predictions. …”
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Revolutionising pharmacy through machine learning: the progress and perils / Yuslina Zakaria
Published 2024“…ML, a branch of artificial intelligence (AI), uses algorithms such as neural networks, decision trees, and support vector machines to learn from large datasets and make predictions. …”
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An efficient and effective case classification method based on slicing
Published 2006“…The algorithms are: Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5). …”
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Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…The results show that the F1 value of the algorithm is about 94%, and the efficiency of the algorithm is high. …”
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Modelling and optimization of microhardness of electroless Ni-P-TiO2composite coating based on machine learning approaches and RSM
Published 2021“…The four AI models applied in this study were Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest (RF) and Extra Trees (ET). …”
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