Titlebook: Data Analytics and Learning; Proceedings of DAL 2 D. S. Guru,N. Vinay Kumar,Mohammed Javed Conference proceedings 2024 The Editor(s) (if ap

浪費(fèi)物質(zhì)

ARC

Manifesto for Collaborative Urbanismnal identification. The performance of the proposed system is evaluated using the VISA multimodal biometrics database. The accuracy of 93.334 and 96.735% are achieved for feature and score-level fusion.

vascular

抵消

The First Decade of the New Millenniumd was achieved by k-means, and hierarchical and fuzzy-c means clustering algorithms. These segmented from the clustering algorithm were then compared to find the best algorithm giving the optimal Result.

躺下殘殺

Pregnancies and Fetuses Fade into Obscurityng the overall yield in the input Paddy Field Image. In this case, we focused more on segmenting these areas using an efficient hierarchical model—the system‘s accuracy is 92.22%, which yields excellent results.

Foolproof

Itinerant

Crowdsensing Simulation Using ns-3, classifies the water according to its pH level, and uploads the results to the cloud. To Know which water may be utilized for agricultural fields and which can be used for drinking, a classification is performed using the K-means algorithm. This will decrease the health problems that people experience as a result of drinking contaminated water.

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愉快么

ARC

IRIS and Face-Based Multimodal Biometrics Systems,nal identification. The performance of the proposed system is evaluated using the VISA multimodal biometrics database. The accuracy of 93.334 and 96.735% are achieved for feature and score-level fusion.