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lonosphere-data-problem icon lonosphere-data-problem

This radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total transmitted power on the order of 6.4 kilowatts. See the paper for more details. The targets were free electrons in the ionosphere. "Good" radar returns are those showing evidence of some type of structure in the ionosphere. "Bad" returns are those that do not; their signals pass through the ionosphere. Received signals were processed using an autocorrelation function whose arguments are the time of a pulse and the pulse number. There were 17 pulse numbers for the Goose Bay system. Instances in this databse are described by 2 attributes per pulse number, corresponding to the complex values returned by the function resulting from the complex electromagnetic signal.

loops icon loops

Different versions of finite element local integration loops for benchmarking

loopy icon loopy

A code generator for array-based code on CPUs and GPUs

loosely icon loosely

Loosely coupled gps-ins algorithm with misalignment self-calibration

loquat icon loquat

GPU-accelerated SPH solver for geotechnics

lora-modulator icon lora-modulator

LoRa modulator implementation on Lattice ECP5 FPGA to interface with AT86RF215 I/Q Radio

loramac-node icon loramac-node

Reference implementation and documentation of a LoRa network node.

lotr icon lotr

Source code of the paper "Lord of the Ring(s): Side Channel Attacks on the CPU On-Chip Ring Interconnect Are Practical"

loveda icon loveda

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

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