A study using the Karun-I dam as a case study finds that Random Forest-based machine learning methods offer superior ...
Current evidence does not support the use of random forest classifiers as standalone screening tools for ATTR-CM.
Machine learning models trained on English healthcare data to predict postoperative hip replacement outcomes showed a ...
Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...
Low-rank adaptation fine-tunes a frozen model by learning small low-rank update matrices rather than changing every original parameter. This guide explains the mechanism, trade-offs, evaluation, and ...
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