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Titlebook: Emerging Trends and Applications in Artificial Intelligence; Selected papers from Fausto Pedro García Márquez,Akhtar Jamil,Isaac Seg Confer

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31#
發(fā)表于 2025-3-26 23:19:23 | 只看該作者
Berechnung der Nullstellen von Funktionenm 55 COVID-19 experts, we identified three distinct clusters with significant differences in emotions and sentiments. This study introduces a novel framework using NLP, text mining, and sentiment analysis to assess the systems thinking skills of COVID-19 experts.
32#
發(fā)表于 2025-3-27 04:03:41 | 只看該作者
,L?sung linearer Gleichungssysteme,ng list fulfillment and obstacle detection. The presented solution is part of a greater system that also consists of a self-propelled cart with indoor localization capabilities and a supermarket cloud platform.
33#
發(fā)表于 2025-3-27 07:53:43 | 只看該作者
34#
發(fā)表于 2025-3-27 10:56:55 | 只看該作者
https://doi.org/10.1007/978-3-663-01227-6rrent snapshot), and future (predictions based on historical data) information. For the predictions, we employ Graph Neural Network (GNN) modeling. We also compared our recommendation model with the latest related studies and achieved considerable results.
35#
發(fā)表于 2025-3-27 16:41:41 | 只看該作者
,Numerische Verfahren für Eigenwertprobleme,edict water conditions. Compared to Conventional Machine learning algorithms, Feed Forward Neural network predicts the water quality with 98% accuracy. Precision values and more statistical parameters are measured and compared by evaluating the accuracy values.
36#
發(fā)表于 2025-3-27 19:55:40 | 只看該作者
,A Framework for?Knowledge Representation Integrated with?Dynamic Network Analysis,rrent snapshot), and future (predictions based on historical data) information. For the predictions, we employ Graph Neural Network (GNN) modeling. We also compared our recommendation model with the latest related studies and achieved considerable results.
37#
發(fā)表于 2025-3-28 00:26:33 | 只看該作者
Prediction and Analysis of Water Quality Using Machine Learning Techniques,edict water conditions. Compared to Conventional Machine learning algorithms, Feed Forward Neural network predicts the water quality with 98% accuracy. Precision values and more statistical parameters are measured and compared by evaluating the accuracy values.
38#
發(fā)表于 2025-3-28 04:55:59 | 只看該作者
,Review of?Offensive Language Detection on?Social Media: Current Trends and?Opportunities,on of offensive language, application areas of an automated system, shared tasks organized in this field, dataset creation, model evolution in time through machine learning and deep learning algorithms. Finally challenges and gaps in research are discussed.
39#
發(fā)表于 2025-3-28 08:04:35 | 只看該作者
40#
發(fā)表于 2025-3-28 11:59:05 | 只看該作者
,Supermarket Shopping with?the?Help of?Deep Learning,ng list fulfillment and obstacle detection. The presented solution is part of a greater system that also consists of a self-propelled cart with indoor localization capabilities and a supermarket cloud platform.
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