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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…The model design is Decision Tree (DT) algorithm-based, with an approach to data balancing since the data set used is highly unbalanced and one more approach for feature selection. …”
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An intelligent DDoS attack detection tree-based model using Gini index feature selection method
Published 2023“…Artificial Intelligence (AI) has recently attracted much attention and is widely used to build intelligent IDSs to preserve data confidentiality, integrity, and availability. …”
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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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An efficient and effective case classification method based on slicing
Published 2006“…The paper also discusses two of common classification algorithms that are used either in data mining or in general AI. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
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A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation
Published 2023“…Machine learning is a subfield of artificial intelligence (AI) and computer science that uses data and algorithms to mimic how humans learn, and gradually improving its accuracy. …”
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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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Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate
Published 2025“…Machine learning is a critical subset of AI that deliberates the development of self-trained algorithms that use previous databases and analysis for result predictions. …”
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Multi-label risk diabetes complication prediction model using deep neural network with multi-channel weighted dropout
Published 2025“…By employing Artificial Intelligence (AI), this study examines the interconnected nature of these complications. …”
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Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…In finance, AI can analyze financial data to identify trends and inform investment decisions. …”
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The Ethical Implication of Using Artificial Intelligence in Hiring and Promotion Decisions
Published 2023“…We investigate the significance of transparent AI procedures and techniques for holding AI systems responsible for their outputs and the ethical concerns of data usage, storage, and security in AI-powered human resource systems.…”
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Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Published 2020“…The precision of Artificial Intelligence (AI) models can be improved by using hybrid AI models which consist of coupled models. …”
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