Abstract: The continuously growing amount of monitored data in the Industry 4.0 context requires strong and reliable anomaly detection techniques. The advancement of Digital Twin technologies allows ...
Abstract: Weakly supervised video anomaly detection is a challenging problem due to the lack of frame-level labels in training videos. Most previous works typically tackle this task with the multiple ...
Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...
Attention-guided generator with dual discriminator GAN for real-time video anomaly detection 2024 J-EAAI Model Video anomaly detection guided by clustering learning 2024 J-PR Model Toward Video ...
These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...
Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
The accounts payable and accounts receivable functions (AP/AR) have long been targeted for fraud, but widely accessible artificial intelligence (AI) is making business scams more convincing, more ...
The intersection of machine learning, biosensing technologies, and neurological behavior analysis presents fertile ground for groundbreaking research and innovation. This research topic aims to bridge ...
Therefore, the objective of this study is not to predict absolute pressure values, but to detect anomalous deviations in near-bit pressure behaviour using unsupervised learning. Unlike existing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results