Seq2point learning is a generic and as well as simple framework for NILM [1-2]. It learns a mapping from the mains window Y to the midpoint x of the curresponding appliance. From probabilistic ...

Abstract: Sequence classification is a fundamental research issue in data mining and machine learning. However, existing sequence classification methods primarily focus on improving the prediction ...

I've hosted many play dates in our home - some have been good, and some bad. This is what I've learned about making sure it ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

Abstract: Motion capture technology has been widely used in the sport analysis to improve their performance and reduce the injury risk. Kayak, a popular outdoor sport, employs the coordination of ...

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Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

After several examples of undisclosed alterations in reagent suppliers’ antibody catalogues surfaced, researchers call for transparency to rebuild trust.

Is it possible to predict the composition of a microgram-sized salt deposit solely from its macroscopic appearance? While the task seems intractable, we show that for pure aqueous salt solutions dried ...

Trust in elite institutions is on the wane globally. Building public participation into research and government advice can turn the tide.

Final Destination Bloodlines ending explained reveals why Death still kills Stefani and Charlie after the CPR trick, train ...

City makes explicit a 12-month timeframe required for the lender-turned-developer to complete $5 million in improvements. Where to see Fourth of July weekend fireworks and drone shows in San Diego ...