IEEE

A Computationally Efficient Multi-Objective Design Optimization of SRM using K-Means Clustering and Artificial Neural Networks

Abstract: This paper presents a novel methodology for realizing a computationally efficient multi-objective design optimization (CE-MODO) of switched reluctance motors (SRMs). Existing MODO approaches ...
GitHub

KAT - The K-mer Analysis Toolkit

KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...
IEEE

On Evaluation of Data Stream Clustering Algorithms: A Survey

Abstract: Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a ...
Kansas City Star

Multiple ‘hyperscale’ data centers in the works around KC. What that means, see map

As data center projects sprout up across the Kansas City metropolitan area, so are residents’ concerns over what that means for their health and natural resources. How much area water do they use? How ...
Post and Courier

Spartanburg data center plans to use 460K gallons of water per day. Here's what that means.

SPARTANBURG — The NorthMark data center on Pine Street estimates it will use 460,000 gallons of water daily — or almost 2,000 times the average residential customer — without posing a major strain on ...