The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

⚠️ MAINTENANCE NOTICE We are currently performing major changes and maintenance to migrate our workflows from local compute to cloud computation. Some functionality may be unstable in the current ...

The field of sustainable and intelligent phytoprotection is witnessing rapid progress at the intersection of plant science, computer vision, and robotics. Effective phytoprotection relies on early and ...

Abstract: Credit card fraud is rising due to the rapid growth of digital transactions, causing financial problems for businesses worldwide. This technique uses visual analytics and statistical anomaly ...

Canine parvovirus type 2 (CPV-2) and feline parvovirus (FPV) are highly contagious pathogens that pose significant threats to domestic and wild carnivores. Rapid and accurate diagnosis is crucial for ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

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 ...

Purdue University researchers are heading to the South Pacific to examine a “visual anomaly” that could be the missing plane of aviator and former university advisor Amelia Earhart. The Indiana-based ...

Photo courtesy of FinVolution. In its tenth edition, the event gathered top teams worldwide to test algorithms against real-world fraud risks, with this year’s focus on visual deepfakes. Define ...

Department of Chemical Science and Engineering, Graduate School of Engineering, Kobe University, 1-1 Rokkodai, Nada-ku, Kobe 657-8501, Japan Department of Chemical Science and Engineering, Graduate ...