CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.
From the Ozempic story to books on power, money and the new world order — plus fiction by Julian Barnes, Amitav Ghosh and ...
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
A new statistical analysis of Nigeria’s 2023 elections says Labour Party (LP) strongholds recorded the highest concentration of irregularities in the polls.
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Tech Xplore on MSN
Data-driven framework predicts electric vehicle range with improved real-world accuracy
"Range anxiety" remains one of the major issues of electric vehicles (EVs). Most of the existing range prediction technologies rely on simulated conditions or limited datasets, making it difficult to ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
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