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In this study hardware and software based smart technology is used to develop an early flood warning system for Mushim stream watershed to send to end users early flood warning messages about potentially impacted areas.
Computers and other study hardware (e.g., external memory to store backups) will be used only for study purposes and kept in locked cupboards and/or rooms.
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In this article we study hardware-oriented versions of the recently appeared Layered ORthogonal lattice Detector (LORD) and Turbo LORD (T-LORD).
In this study, hardware-in-the-loop simulation is used to test the performance of the interval type-2 fuzzy proportional-derivative (IT2F-PD) controller.
INFN-LNF with the ASI-INFN project ETRUSCO-2 studied hardware and software solution to optimize the optical response of such payloads, with the design and fabrication of a GNSS Retroreflector Array (GRA).
Despite the plethora of studies in this field, hardware-based string matching engines that can accommodate the advancements in optical networking technology are still in high demand.
An interesting companion to the study of hardware failures is the large scale performance study performed in [42].
During this study a hardware biped robot was built, a new reinforcement learning algorithm as well as a new learning architecture were developed.
In this study, a hardware architecture of SSPPF is both designed and implemented on a field-programmable gate array (FPGA).
Easley et al. [10] reported that 36 (20%) of 184 patients in their study required hardware removal because of painful prominent screw heads over the posterior calcaneum.
This article is a system level study of hardware flexibility of laboratory automation architectures for high-throughput automation of various sample preparation protocols.
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