Titlebook: Sustainable Advanced Computing; Select Proceedings o Sagaya Aurelia,Somashekhar S. Hiremath,Saroj Kr. B Conference proceedings 2022 The Edi

Abridge

书目名称Sustainable Advanced Computing影响因子(影响力)




书目名称Sustainable Advanced Computing影响因子(影响力)学科排名




书目名称Sustainable Advanced Computing网络公开度




书目名称Sustainable Advanced Computing网络公开度学科排名




书目名称Sustainable Advanced Computing被引频次




书目名称Sustainable Advanced Computing被引频次学科排名




书目名称Sustainable Advanced Computing年度引用




书目名称Sustainable Advanced Computing年度引用学科排名




书目名称Sustainable Advanced Computing读者反馈




书目名称Sustainable Advanced Computing读者反馈学科排名

防御

温室

Real-Time Traffic Sign Detection Under Foggy Condition helps to solve real-time problems; hence, it can be used in the study for detecting traffic signs under foggy condition. The study results revealed that the model network has accuracy of 99.8%, and the proposed algorithm detects a traffic sign under foggy conditions in 2 s per frame.

ingestion

Conference proceedings 2022ll be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing. .

山崩

ECG-Based Personal Identification System carried out where the mean fragment is obtained which is used in the classification stage. The classification is done using support vector machine (SVM) which gives the high accuracy of a system. The results obtained indicate that the method proposed is efficient and robust.

使成整体

Waste Object Segmentation for Autonomous Waste Segregationresults. We explore the possibilities of implementing the proposed technique with different kernel sizes and useful color spaces. The proposed technique yields an intersection over union (IoU) of 90.26%, mean intersection over union of 92.36%, pixel-wise precision of 94.9%, and mean pixel-wise precision of 95.72% on TACO dataset.

深陷

dearth

A Constructive Deep Learning Applied Agent Mining for Supported Categorization Model to Forecast thes the required figure deposit for the implementation. And finally a most favorable precision is achieved, while operating the categorization model in MATLAB environment. The projected model provides an improved settlement with the contrast of established methods.

A保存的

High-Utility Pattern Mining Using ULB-Minern algorithms, namely UP-Hist, UFH, and ULB-Miner were used. An applied empirical evaluation shows that ULB-Miner provides better performance of the UP-Hist and UFH algorithms in terms of running time as well as memory consumption.

复习

Predictive Analytics for Real-Time Agriculture Supply Chain Management: A Novel Pilot Studya over the past decade, analytics has been gaining more significance in almost all domains with tremendous contribution to the insightful knowledge. In this paper, we present the initial walkthrough for novel predictive analytics in the field of agriculture, aimed at enhancing and strengthening the