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Titlebook: Good Practices and New Perspectives in Information Systems and Technologies; WorldCIST 2024, Volu Álvaro Rocha,Hojjat Adeli,Aneta Poniszews

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ng market trends and making informed investment decisions. Interpretability is essential to understand the rationale behind model predictions, particularly in complex financial environments. In conclusion, this research leverages explainability techniques like SHAP and GRAD-CAM to improve the interp
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Fernsehnutzung und Gewohnheiten, on the current literature and health professional input, the most sure-fire way to diminish these symptoms is to monitor the patient’s daily walk cycle and motivate them to try to keep a steady pace despite feeling pain, the main goal being the daily increase of time the patient can walk before fee
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https://doi.org/10.1007/978-3-322-80960-5on. This study explicitly evaluates the use of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for predicting electricity production from the biogas produced in a Wastewater Treatment Plant (WWTP) in Portugal. WWTPs play an essential role regarding environmental sustainability, n
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lligence techniques for various medical conditions such as epilepsy seizures (ES). ES is a brain disorder that affects people of all ages, is a chronic, non-communicable disease, and can occur for no apparent reason owing to a genetic defect at any time. The unpredictable nature of ES poses a signif
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, in der etablierten Marktwirtschaft,izing the potential benefits that a specialized web application could offer to dental offices; we propose the development of such an application. We employ a case study approach as a research methodology to explore the development of an open-source web application in the field of dental health. The
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