TAMING THE BEAST. APPROACHES TO DIGITAL ARCHIVING IN CZECH ARCHAEOLOGY


Preliminary Experimental Results of Context-Aware Teams of Multiple Autonomous Agents Operating under Constrained Communications

This work presents and experimentally tests the framework used by our context-aware, distributed team of small Unmanned Aerial Systems (SUAS) capable of operating in real time, in an autonomous fashion, Hair Mask and under constrained communications.Our framework relies on a three-layered approach: (1) an operational layer, where fast temporal and

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Lubrication Force Saturation Matters for the Critical Separation Size of the Non-Colloidal Spherical Particle in the Deterministic Lateral Displacement Device

Deterministic lateral displacement (DLD) is a popular technique for separating micro-scale and nano-scale particles continuously.In this paper, an efficient three-dimensional fictitious domain method is developed for the direct numerical simulation of the motion of a non-colloidal spherical particle in the DLD device (i.e., cylinder array), based o

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A Novel Throughput Enhancement Method for Deep Learning Applications on Mobile Devices With Heterogeneous Processors

Contemporary smartphones integrate Intimates Accessories dedicated AI accelerators alongside CPUs and GPUs, in response to the growing demand for deep learning applications.While existing software development kits (SDKs) for these devices provide neural network optimization techniques, they often lack system-level optimizations, specifically in dis

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