The maze of oil rigs, pipelines, cables and other offshore installations are vulnerable to submarine landslides. The ability ...

When an extreme weather event occurs, the probability or risk of other events can often increase, leading to what researchers ...

Disaggregration requires traffic cops and in-chip monitors to function as expected over time. The shift from SoCs to ...

Its murmurs tend not to be signs of volcanic unrest but rather the signature of avalanches large enough to register on nearby ...

Adarsh Naidu is a cloud-certified technology professional contributing to platform modernization in digital real estate and ...

Huawei is pushing deeper into the upstream oil and gas sector, applying its strengths in AI, cloud computing and digital ...

Reconstruction of seismic data is an important but challenging task in seismic data processing. Different machine-learning-based algorithms have been developed to solve this ill-posed problem and ...

Sinusoidal interference is a common type of noise caused by power facilities. It usually has the fixed frequency and large amplitude which will have a negative impact on seismic data processing. We ...

We explore propagation of seismic interpretation by deep learning in stacked 2D sections. We show the application of state-of-the-art image classification algorithms on seismic data. These algorithms ...

Edge analytics, supported by Big Data frameworks, enables processing at the source. Companies can train AI models on-device with federated learning, keeping sensitive data decentralized and secure.