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These HELUCOM® fibre-optic cables are designed especially for use in fibre-optical temperature measurements, such as monitoring of dams. The extreme mechanical requirements in these areas are fulfilled by the specially designed cable construction. These lines are hybrid glass fibre lines with copper cores and a special PE outer sheath.

This paper introduces a supervised Deep Spiking Quantum Neural Network (DSQ-Net) using a hybrid quantum- classical architecture having the merits of amplitude encoding in a dressed quantum layer. A novel attempt has been made to obviate the challenges in training a classical deep SNN, assisted by a Variational Quantum Circuit (VQC) in the ...

2025年2月25日 · Dynamic shared quota (DSQ) distributes available on-demand capacity among all queries being processed by Google Cloud services for specific models. This capability eliminates...

75% energy saving compared to other water heaters using super-VE Hybrid technology; 3 temperature settings plus non-electric keep warm; Water level gauge; Dispense button for easy pouring of hot water ‘Café-drip’ mode; Timer function for up to 10 hours in advance; Non-stick inner container; Descaling mode for easy cleaning

M&R’s DS-4000 Digital Squeegee is setting the standard for hybrid printing. At production rates of 400+ prints per hour the DS-4000 bridges the gap between direct-to-garment (DTG) printing and screen printing.

128-DSQ The 10GBASE-T standard uses a synthetic 2-dimensional 128 DSQ (Double SQuare) constellation, which conveys 7 bits per symbol • (27 = 128) 128 DSQ resembles a 16x16 checker-board with the white squares missing

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The DSQ Alert Histoplasma/Blastomyces RUO Detection Reagent is a multiplex real-time PCR reagent designed with DSQ hybridization probe chemistry, the next generation of MGB hydrolysis probes, to detect and distinguish DNA from Histoplasma capsulatum, Blastomyces dermatitidis, and Blastomyces gilchristii.

2019年8月14日 · To address this problem, in this paper we propose Differentiable Soft Quantization (DSQ) to bridge the gap between the full-precision and low-bit networks. DSQ can automatically evolve during training to gradually approximate the standard quantization.