Titlebook: Artificial Intelligence: Towards Sustainable Intelligence; First International Sanju Tiwari,Fernando Ortiz-Rodríguez,Ketan Kotech Conferen

micronutrients

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COMA

cathartic

PRE

https://doi.org/10.1007/978-3-662-65598-6ies of insect pests. It incorporates well over 34,089 photos that are divided into 50 categories and have a naturally long-tailed distribution. A comparison of the performance of ViT is done with the ResNet model on the same data and it is found that the ViT model performs better than the ResNet model.

皮萨

Bernhard Badura,Antje Ducki,Helmut Schröder train cutting-edge Deep Learning Algorithms for shadow detection. Experimental results using various Deep learning Object Detection (DLOD) models and performance metrics demonstrate promising effectiveness. Although this approach is limited to detecting attacks from certain angles, it is a valuable addition to existing bird detection methods.

BAIT

synovitis

An Improved Deep Learning Model Implementation for Pest Species Detection,ies of insect pests. It incorporates well over 34,089 photos that are divided into 50 categories and have a naturally long-tailed distribution. A comparison of the performance of ViT is done with the ResNet model on the same data and it is found that the ViT model performs better than the ResNet model.

Inflated

Real-Time Birds Shadow Detection for Autonomous UAVs, train cutting-edge Deep Learning Algorithms for shadow detection. Experimental results using various Deep learning Object Detection (DLOD) models and performance metrics demonstrate promising effectiveness. Although this approach is limited to detecting attacks from certain angles, it is a valuable addition to existing bird detection methods.

Interlocking

,Knowledge Graph for Fraud Detection: Case of Fraudulent Transactions Detection in Kenyan SACCOs,iveness of the approach is evaluated using real-world SACCO transaction data and shows that it can detect potential fraud in real-time or near real-time thereby saving funds that would have been lost.