These samples are generated by adding some imperceptible disturbances, which are used to mislead the output decision of the deep learning model and bring significant security risks to the system.

As the world transitions toward cleaner and more sustainable energy futures, the coexistence of renewable and fossil fuel-based energy sources in hybrid systems has emerged as a pragmatic solution to ...

The transition toward renewable energy is central to the global strategy for combating climate change and ensuring long-term energy security .

Instead of solving Maxwell’s equations from scratch every time, imagine training a model to deeply understand the underlying ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

To address this challenge, FD-YOLO11, which is a YOLO11-based deep learning model with enhanced feature extraction and fusion mechanisms for attaining improved detection performance, is proposed in ...

Image courtesy by QUE.com As artificial intelligence continues to evolve at breakneck speed, the thirst for knowledge in this ...

Artificial intelligence, automation and data-driven innovation are continuously shaping the world we live in, and The Apollo University has positioned itself nicely at the forefront of this ...

Perhaps, in the near future, war may not commence with the roar of engines or missile launches, but with a few lines of code.

As global banking institutions accelerate their digital transformation, leaders in artificial intelligence and machine ...

The artificial intelligence boom is accelerating, and so is the demand for skilled professionals. Open-access courses are ...