Titlebook: Engineering Applications of Artificial Intelligence; Aziza Chakir,Johanes Fernandes Andry,Mohamed Ghazo Book 2024 The Editor(s) (if applic

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Targeting the Foreign Direct Investort disease based on specific features. The selection of these features is grounded in the strongest correlations observed in the available data. The researchers have identified several highly correlated features, namely ST Slope Up, ST Slope Flat, Exercise Angina, Oldpeak, Chest Pain Type, Max HR, an

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Frans P. B. Osinga,Mark P. Roordah scale’s deleted patches and associated labels are then fed into the convolutional network. Inference is a process where we majority voting on the convolutional neural network’s output network. Better outcomes have been seen with the suggested strategy. Whole-slide image, segmentation, classificati

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Artificial Intelligence: An Overviewnd limitations, such as biases and ethical concerns, that necessitate prompt addressing. Thus, the chapter will cover the managerial challenges in organizations that may adopt A.I. in the future. This chapter, therefore, underscores the paramount importance of artificial intelligence and its potenti

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Application of Artificial Intelligence to Control a Nonlinear SIR Modelsearch approach involves simulating the nonlinear system and implementing both PMP-based control with difference approximation method and ANN-based control using machine learning algorithms. The key message of this study is that ANNs have the potential to mitigate the issue of local minima trapping

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Towards a System that Predicts the Category of Educational and Vocational Guidance Questions, Utilize to their remarkable performance in various tasks. This article demonstrates the implementation of a multi-class classification using BERT, specifically focusing on questions related to educational and vocational guidance following Holland‘s RIASEC typology. Our model effectively categorizes each i

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A Methodology for Evaluating and Reporting the Integration of Artificial Intelligence for SustainabiThis study contributes to highlighting Artificial intelligence‘s role in advancing sustainability within the education sector and offers insights into enhancing the impact of sustainability education through AI interventions.

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Artifical Intelligence in Nurse Educationtudents to develop critical thinking, decision-making, and data analysis skills in the context of AI in healthcare. While AI has the potential to revolutionize nursing education and practice, it also presents certain challenges and considerations. These include ethical concerns related to data priva

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