In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Over the past decade, LLMs have become the most accurate tools we have for predicting how the human brain responds to language. Feed an LLM the same story a person hears in an fMRI scanner, and the ...
Abstract: The “black-box” nature of machine learning (ML) and deep learning (DL) models has raised concerns about the trustworthiness of landslide susceptibility mapping (LSM) results among users.
Large-scale object detection datasets (e.g., MS-COCO) try to define the ground truth bounding boxes as clear as possible. However, we observe that ambiguities are still introduced when labeling the ...
Paris 2024 transformed the most iconic landmarks in the City of Light into sporting arenas, the likes the world has never seen before. From the beach volleyball competition nestled beside the Eiffel ...
Abstract: Reliable and accurate rice mapping using synthetic aperture radar (SAR) in cloudy and rainy areas is essential for achieving the United Nations Sustainable Development Goal 2 of 2030. An ...
SINGAPORE – About 31ha of forested areas in Bedok are slated for clearance by 2029, to make way for the future Bayshore housing precinct which will likely be ready from the mid-2030s. An environmental ...
In order to meet the needs of life and production and ensure the battery is stable when using the battery, a scheme for reckoning the state of charge of lithium-ion batteries derived from the ...
SINGAPORE - The number of homeless people in Singapore fell slightly last year, at a time when homelessness was on the rise in many countries amid the Covid-19 pandemic. But the issue of homelessness ...
Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to ...
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