Since officially opening its doors on July 8 with a ribbon cutting and lively Chinese lion dance celebration, Nana’s Dim Sum & Dumplings has been hard at work offering a wide array of shared plates, ...

A heavily armed man carrying an AR-15 and 200 rounds of ammunition was arrested in Canoga Park after what authorities describe as a “totally random” incident, according to the Los Angeles Police ...

In a number of situations we are faced with the problem of determining efficient estimates of the mean and variance of a distribution specified by (i) a non-zero probability that the variable assumes ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: Accurate segmentation of brain tumors across multiple MRI sequences is essential for diagnosis, treatment planning, and clinical decision-making. In this paper, I propose a cutting-edge ...

Abstract: Uncrewed aerial vehicle (UAV) swarm system flies under variable operating conditions. Nevertheless, due to high costs or limited operational time, it is impractical to collect large amounts ...

Caroline Banton has 6+ years of experience as a writer of business and finance articles. She also writes biographies for Story Terrace. Vikki Velasquez is a researcher and writer who has managed, ...

Colorblindness is caused by a recessive gene on the X chromosome. Since men have only one X chromosome, if a man carries the colorblindness allele (gene form), he will have the trait. Women have two X ...

This article presents a new approach based on MiniRocket, called SelF-Rocket, for fast time series classification (TSC). Unlike existing approaches based on random convolution kernels, it dynamically ...

Two men were murdered and dismembered, allegedly by a man they both knew and lived with at times at the same Barrie homeless encampment, Barrie police revealed Tuesday during an update on the grisly ...

for support in self._supports: x1 = tf.sparse_tensor_dense_matmul(support, x0) x = self._concat(x, x1) for k in range(2, self._max_diffusion_step + 1): x2 = 2 * tf ...