Artificial Intelligence
Abstract—A radar signal multiparameter-based deinterleaving method is proposed in this work. Semantic information formed by the coupling of the pulse repetition interval (PRI),
radio frequency (RF), pulse width (PW), and pulse amplitude (PA) of a radar signal is used to deinterleave radar signals. A bidirectional gated recurrent unit (BGRU) is employed, and
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The dataset contains laser-induced fluorescence spectral data in different noise modes. We used sodium humate and glucose according to the prepared solutions.
First, we prepared 100 mg per liter of f sodium humate solution A and glucose solution B. Depending on the molecular weight, solution A was prepared using 100 ml of water and 0.0149 g of sodium humate. solution B was prepared using 100 ml of water and 0.01584 g of glucose.
Subsequently, solution A and solution B were mixed in a ratio of 1:29 to obtain 100 mg per liter of sodium humate and glucose solution C.
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Horticulture crop recommendation in saline soils
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This data set contains two kinds of road perception information: image and acoustics. It covers four kinds of pavement: asphalt pavement, water pavement, gravel pavement and snow pavement. The image and audio files of the whole data set are too large, and this data set is part of it for researchers' reference. Please contact wangzhangu1@163.com if you need the whole data.
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Telecom Italia: As part of the “Big Data Challenge”, consists of data about telecommunication activity in the city of Milan and in the province of Trentino. Data collectors divide Milan into 100×100 regions, and all traffic data statistics are based on regions. The total volume of SMS, call, and internet traffic sent and received by users in each area is collected every 10 minutes. We sample the internet traffic data during the period from 22:00 10/31/2013 to 22:50 12/19/2013 with a cell area size of 15×15.
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Web page addresses and e-mail addresses turn into links automatically
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This project builds a length-versatile and noise-robust LoRa radio frequency fingerprint identification (RFFI) system. The LoRa signals are collected from 10 commercial-off-the-shelf LoRa devices, with the spreading factor (SF) set to 7, 8, 9, respectively. The packet preamble part and device labels are provided.
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This dataset is created by an experimental setup of a DC-PV -Battery-based grid-connected distributed generation system. This dataset is split into four parts such as irradiance, and temperature, which were measured by a meteorological station, and lastly, PV output current and voltage acquired by an inverter. Furthermore, we can have a chance to obtain the output PV power by multiplying current and voltage. The dataset has 288 elements for one day as a time series since the station obtains the data within five minutes. However, the whole dataset has three days of data with 864 elements.
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