Abstract: Deep learning has revolutionized computer vision and image classification domains. In this context Convolutional Neural Networks (CNNs) based architectures and Deep Neural Networks (DNNs) ...

Abstract: The review text received by crowdsourcing participants contains valuable knowledge, opinions, and preferences, which is an important basis for employers to make trading decisions, and ...

Within-dataset reliability, cross-chemistry transferability, and embedded deployment of multi-horizon hazard models for battery failure prediction. Extends the framework of Shikdar & Laaksonen (2026).

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...

Methods: The 3 classifiers considered were light gradient boosting trees, large language models (LLMs) adapted to tabular data, and Tabular Prior-Data Fitted Network (TabPFN), a transformer-based ...

Agreement was assessed among raters, PULSNAR classifications, and consensus review decisions. Post hoc calibration was used to refine prevalence estimates. Results: Of the 159,049 covariates in the ...

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The export controls directive limiting access to Anthropic’s latest AI models may be the tip of the spear, securitising ...