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Vehicle data set in low illumination environment processed with labelimg
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The law of conservation of energy has yet to be disproven. However, an inability to disprove this law is no proof of its validity. Energy creation was modeled with a lagging current and a quasi-sinusoidal variance in capacitance. A quasi-sinusoidal variance here is a sinusoidal waveform whose mean is larger than its median. The stator’s quasi-sinusoidal variance in capacitance is formed by the rotors’ electrostatic induction within its conductive segments, which is induced by the stator’s charge.
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One of the weak points of most of denoising algoritms (deep learning based ones) is the training data. Due to no or very limited amount of groundtruth data available, these algorithms are often evaluated using synthetic noise models such as Additive Zero-Mean Gaussian noise. The downside of this approach is that these simple model do not represent noise present in natural imagery.
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This dataset contains the following simulated information of the IEEE 14 bus system: The 24-hour load profile of all the nodes of the IEE 14 bus circuit, voltages and currents measured by the PMUs placed at optimal locations which minimizes the variance on the estimated voltage states, voltages and currents measured by the PMUs placed at sub-optimal locations.
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The MPSC-rPPG dataset comprises photoplethysmograph (rPPG) data with the PPG ground truth, making it a perfect dataset to evaluate various algorithms for extracting PPG, measuring heart rate, heart rate variability from video. The dataset contains facial videos and Blood Volume Pulse (BVP) data captured concurrently.
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This is the protein PDB dataset for the article "Novel Algorithm for Improved Protein Classification Using Graph Similarity". This dataset consists of 9 classes of proteins.
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README.txt for simulation files IEEE_Collaboration_N_entities_2021.mdl and IEEE_2_Platforms_federation_SF_2021.mdl
This is a README.txt for the model published on the paper titled:
Improving IoT Federation Resiliency with Distributed Ledger Technology, 2021, Elo T, et al.
This readme describes how to replicate the main simulation results from the paper using a Vensim
model file. The model file has been generated using the Vensim DSS Macintosh Version
8.0.7 Double Precision x64.
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Many companies, e.g., Facebook and YouTube, use the REST architecture and provide REST APIs to their clients. Likeany other software systems, REST APIs need maintenance and must evolve to improve and stay relevant. Antipatterns—poor designpractices—hinder this maintenance and evolution. Although the literature defines many antipatterns and proposes approaches for their(automatic) detection, theircorrectiondid not receive much attention.
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