IEEE

Incremental Closed Frequent Itemsets Mining-Based Approach Using Maximal Candidates

Abstract: Incremental frequent itemset mining aims to efficiently update frequent itemsets without recalculating them from scratch, making it suitable for streaming data and real-time analytics. In ...
IEEE

Implementation of FPGA-based Neural Network Controller for Reducing Speed Ripple for a PMSM-driven EV using MRAS Speed Estimator

Abstract: The conventional model reference adaptive system (MRAS) employs a proportional-integral (PI) controller with a low-pass filter (LPF). However, the LPF and integrator add phase delay and DC ...
The Conversation

How much water and power will AI data centres use in Australia? Ironically, we don’t have the data to know

Australia’s data centre rush now rivals the mining boom. OpenAI chief executive Sam Altman last week said Australia could become a “data centre capital of the world”. This would come at an ...
Time

AI Could Use as Much Water as 1.3 Billion People by 2030, U.N. Report Warns

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