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Titlebook: Intelligent Systems Design and Applications; 19th International C Ajith Abraham,Patrick Siarry,Arturas Kaklauskas Conference proceedings 20

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發(fā)表于 2025-3-30 08:37:31 | 只看該作者
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發(fā)表于 2025-3-30 16:18:35 | 只看該作者
,Turing-Style Test Approach for Verification and Validation of Unmanned Aerial Vehicles’ Intelligencrected to these systems because the testing methods are not standardized as for regular systems. We believe that applying verification and validation to complex phenomena like intelligence or autonomy, besides systems, might bring a standardization proposition to the Software engineering community.
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發(fā)表于 2025-3-30 19:07:45 | 只看該作者
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發(fā)表于 2025-3-31 02:50:49 | 只看該作者
Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supages, as many lung pathologies are classified as severe and such conditions bring about 250,000 deaths each year and by 2030 it will be the third leading cause of death in the world. Mask R-CNN is a recent and excellent Convolutional Neural Network model for object detection, localization, segmentat
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發(fā)表于 2025-3-31 08:30:52 | 只看該作者
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發(fā)表于 2025-3-31 09:37:58 | 只看該作者
The Influence of NER on the Essay Grading,es to infer the grade such as the number of words, verbs, sentence size and so forth. Others strategies seek for more complex structures in written language to tackle this problem. This paper discusses the use of Named Entities as additional features to enhance the quality of the state-of-the art fo
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發(fā)表于 2025-3-31 15:33:24 | 只看該作者
Evaluation of Acoustic Features for Early Diagnosis of Alzheimer Disease,nown that Alzheimer’s disease (AD) influences the language abilities of affected peoples. Hence, the diagnosis of Alzheimer’s disease using speech-based features is gaining growing attention. The purpose of this article is extracting a set of acoustic features from Dementia Bank conversations from s
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發(fā)表于 2025-3-31 21:30:07 | 只看該作者
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發(fā)表于 2025-3-31 22:47:00 | 只看該作者
Towards Context-Aware Business Process Cost Data Analysis Including the Control-Flow Perspective,. Previously, we proposed a general approach for the extension of business process models with cost perspective based on process mining, independently of the model notation. This approach includes a cost data analysis based on applying classification algorithms selected dependently on the case in ha
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