Titlebook: Intelligent Systems and Pattern Recognition; Third International Akram Bennour,Ahmed Bouridane,Lotfi Chaari Conference proceedings 2024 Th

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How AI can Advance Model Driven Engineering Method ?d to our topic and investigate how AI techniques could be used to better resolve software engineering issues. In the context of the current paper, we particularly focus on healthcare systems as an illustrative specific domain.

hematuria

A Real-Time Deep UAV Detection Framework Based on a YOLOv8 Perception Moduleasion scenario. The detection accuracy achieved with the YOLOv8 model is 99% Average Precision (AP) and the inference is 107.5 FPS, proving the effectiveness of the proposed approach for real-time UAV detection. A comparative study shows that the YOLOv7 model achieves the same accuracy but with slower inference.

formula

Weeds Detection Using Mask R-CNN and Yolov5ics using a dataset of images captured using a smartphone camera, the performance of weed detection is evaluated according to a predefined geographic location in Tebessa, an Algerian eastern region. Additionally, we compare the performance of these models with and without additional training using examples from different databases.

坚毅

On the Different Concepts and Taxonomies of eXplainable Artificial Intelligencewas a hindrance to the establishment of common grounds for them. Hence, given the importance of this domain, we present an overview on XAI, in this paper, in which we focus on clarifying its misused concepts. We also present the interpretability levels, some taxonomies of the literature on XAI techniques as well as some recent XAI applications.

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Obligatory

Proteus Based Automatic Irrigation System possibility of connecting them to the Internet..The object behind this work, is to develop an automatic irrigation system based on DHT11 temperature and humidity sensor, and Arduino microcontroller. The system is tested using Proteus simulation software and the obtained results were satisfactory.

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Infantry

1865-0929 ISPR 2023, held in Hammamet, Tunisia, in May 2023. .The 44 full papers presented were thoroughly reviewed and selected from the 129 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.978-3-031-46337-29

JEER

1865-0929 apers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.978-3-031-46337-2978-3-031-46338-9Series ISSN 1865-0929 Series E-ISSN 1865-0937