Abstract: By evaluating intricate datasets to maximize plant growth, boost yields, and advance sustainability, smart agriculture—powered by Random Forest machine learning—is transforming botany.
When P.K. Muraleedharan ventured into the thick forests of Idukki district in 1999, he expected his assignment as a volunteer teacher to last only a short while. Instead, the experience ended up ...
Mechanical hands dexterous enough to thread a needle, childlike dancing robots and adult-sized ones to help with deliveries ...
The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...
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