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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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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“…For the objective of classifying FI in terms of fraud or not, the Intelligent Information System for Financial Institutions (IISFI) relying on Supervised ML (SML) Algorithms has been created in this work. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
Published 2022“…Classifiers employed for the system include Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM) techniques. …”
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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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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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Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach
Published 2024Subjects:Conference Paper -
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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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Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…This research develops a knowledge-based system by using computational intelligent approaches based on Boosting algorithms on decision trees augmented by pruning techniques and Association Rule Mining. …”
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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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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…Furthermore, a hybrid Spatial-Artificial Intelligence (AI) algorithm is proposed to integrate RES sites with minimum total distance and minimum total elevation difference. …”
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Prediction of Optimum Cutting Conditions in Dry Turning Operations of S45C Mild Steel using AIS and PSO Intelligent Algorithm
Published 2014“…The results predicted by AIS and PSO were compared with the experimental values derived from the testing data set. …”
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What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer
Published 2023“…Midjourney AI is a type of AI technology that uses machine learning algorithms to generate high-quality images and videos from textual descriptions. …”
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Systematic review on Artificial Intelligence (AI) enabled insurance sector
Published 2025“…Eventually the study concludes with the future of AI applications in insurance and suggests solutions in line with data privacy, technical barriers, and algorithmic bias.…”
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Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems
Published 2016“…Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). In this work, intelligent cooperative web caching approaches based on J48 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. …”
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