A new approach to the way already existing water consumption data is analyzed on poultry farms could identify changes in bird activity and behavior more quickly. "We can detect the subtle changes ...

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Two marine heat waves occurring simultaneously in the Pacific Ocean are being linked to a forecast for record warm temperatures this weekend. It might be the first full weekend of October, but for ...

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NVIDIA introduces NV-Tesseract-AD, a sophisticated model enhancing anomaly detection through diffusion modeling, curriculum learning, and adaptive thresholds, aiming to tackle complex industrial ...

Digital phenotyping with EHRs can improve early CKD detection and management, addressing underdiagnosis issues. ICD coding alone is insufficient; combining biochemical markers, NLP, and machine ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...

The final, formatted version of the article will be published soon. In modern agriculture, tomatoes, as key economic crops, face challenges during harvesting due to complex growth environments; ...