Titlebook: Information and Communication Technologies; 12th Ecuadorian Conf Santiago Berrezueta-Guzman,Rommel Torres,Jorge Her Conference proceedings

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書(shū)目名稱(chēng)Information and Communication Technologies影響因子(影響力)




書(shū)目名稱(chēng)Information and Communication Technologies影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Information and Communication Technologies網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Information and Communication Technologies網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Information and Communication Technologies被引頻次




書(shū)目名稱(chēng)Information and Communication Technologies被引頻次學(xué)科排名




書(shū)目名稱(chēng)Information and Communication Technologies年度引用




書(shū)目名稱(chēng)Information and Communication Technologies年度引用學(xué)科排名




書(shū)目名稱(chēng)Information and Communication Technologies讀者反饋




書(shū)目名稱(chēng)Information and Communication Technologies讀者反饋學(xué)科排名

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In-Situ

1865-0929 held in Loja, Ecuador, during October 16–18, 2024...?..The 24 full papers presented here were carefully reviewed and selected from 74 submissions. They were organized in the following topical sections: Image Processing, Classification, and Segmentation; Artificial Intelligence and Machine Learning

neolith

Automatic Parking Space Segmentation Using K-Means Clustering and?Image Processing Techniques the four leading edges that compose each car were considered. The previously obtained data were used to estimate the trapezoid defining each photograph’s parking zone. This approach combines segmentation and image processing techniques to delimit parking spaces in urban environments.

諂媚于人

Conference proceedings 2025oja, Ecuador, during October 16–18, 2024...?..The 24 full papers presented here were carefully reviewed and selected from 74 submissions. They were organized in the following topical sections: Image Processing, Classification, and Segmentation; Artificial Intelligence and Machine Learning Applicatio

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pester

Incident Alert Priority Levels Classification in?Command and?Control Centre Using Word Embedding Tec improvement in classification accuracy, achieving 95% precision in classification tests using high and low-priority categories and 81% in classification tests using four alert categories. These techniques enhance the syntactic and semantic understanding of emergency calls and reduce the risk of loss of human life.

NOVA

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