Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...

A hierarchical machine learning framework integrating design principle metrics achieved ninety-one percent accuracy in ...

Hello, this is Nakashi🌱If you ask ChatGPT a question, it gives you an answer right away.Face recognition is used on ...

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export. The largest collection of PyTorch image encoders / backbones. Including train, eval, ...

Researchers use adversarial deep learning to reduce patient-specific bias in Raman spectroscopy while preserving 81% balanced accuracy in glioma IDH1 classification.

Multispectral imaging flow cytometry with machine learning identified pollen in monofloral and polyfloral honeys with results ...

Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a ...

Chemical analysis supports the identification of microplastics in animal tissue by determining polymer composition.

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

AU researchers tested quantum machine learning for lung cancer prediction, with a D-Wave annealing method reaching 91.90% ...