In rapidly growing cities like Tokyo, incorporating greenery is a challenging task. With limited space for trees or parks, ...

The approach achieves high accuracy in panicle detection and canopy reconstruction, paving the way for more efficient breeding and crop management under diverse environmental conditions. Sorghum ...

Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

DenseWolf-K, a hybrid AI framework, achieved 99.64% accuracy in brain tumour MRI classification, revolutionising medical ...

Marine ecosystems are undergoing rapid transformations driven by human pressures and climate change. To understand how these forces reshape the seafloor, researchers from the University of ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

A research team developed a 3D deep learning–based panoptic segmentation model that combines semantic and instance ...

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and ...