Results 1 to 10 of about 2,185,199 (244)
Primitive computations in speech processing [PDF]
Previous research suggests that artificial-language learners exposed to quasi-continuous speech can learn that the first and the last syllables of words have to belong to distinct classes (e.g., Endress & Bonatti, 2007; Peña, Bonatti, Nespor, & Mehler, 2002). The mechanisms of these generalizations, however, are debated.
Endress, A., Mehler, J.
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Computing within the 2021 Snowmass process [PDF]
We present different elements of the 2021–2022 Computational Frontier (CompF) effort within the Snowmass process, including organization, events, and highlights of the final report [1].
Elvira V. Daniel
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Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing
Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as ...
Brown, André EX +11 more
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Due to the external disturbances, model uncertainties, strong coupling, and occurred faults, the winding machine presents a great control challenge. In order to deal with these problems, this paper presents the formulation of a novel scheme of fault ...
Haouari Fouad +4 more
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Machining process parameters optimization using soft computing technique
This work introduces an approach for optimization machinability measures of power consumption, machining time, and the surface roughness (PMS). This approach is starting with market customer’s demands, passing by optimizing the machinability measures ...
Tarek M. El Hossainy +2 more
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Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning
With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and ...
Carpio, Francisco +3 more
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Introduction. The modeling of multidimensional fields on multiprocessors, with a neural network architecture, which is rebuilt in the process of solving the problem by means of deep learning, is considered.
Mykola Kosovets, Lilia Tovstenko
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Reservoir Computing Approach to Robust Computation using Unreliable Nanoscale Networks
As we approach the physical limits of CMOS technology, advances in materials science and nanotechnology are making available a variety of unconventional computing substrates that can potentially replace top-down-designed silicon-based computing devices ...
A. Atiya +22 more
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The public sector has many challenges when improving business processes. One of those challenges is managing the projects’ success by considering the context and constraints of public management and business process management (BPM).
Nilton Takagi +4 more
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High density mechanical energy storage with carbon nanothread bundle
Carbon nanothreads are promising for applications in mechanical energy storage and energy harvesting. Here the authors use large-scale molecular dynamics simulations and continuum elasticity theory to explore mechanical energy storage in carbon ...
Haifei Zhan +4 more
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