Titlebook: Smart Technologies, Systems and Applications; First International Fabián R. Narváez,Diego F. Vallejo,Julio R. Proa?o Conference proceeding

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PLIC

Broadcast and Analysis of Traffic Warning Messages in a VANET Networkso increase. This is where the role of VANET networks can intervene with the goal of reducing and trying to avoid this type of accidents. A VANET network provides connection between a vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) or a hybrid combination between these two, allowing a wide

Mediocre

Signal Detection Methods in Cognitive Radio Networks: A Performance Comparisonar Value Decomposition Scheme (SVD), Eigen-value Decomposition Scheme (EVD), and Cyclo-stationary Detection Scheme (CD) are fairly compared based on Probability of Detection (.) as function of Signal-to-Noise ratio (SNR) in a CRN that coexists with a primary network based on Wireless Fidelity (WiFi)

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Scalable Electrical Distribution Networks Planning for Medium and Low Voltage Considering Capacity oormation system (GIS), which contains the coordinates of households, buildings, streets, parks, etc. The data is used by the algorithm to determine the optimal path for the primary network of medium voltage (MV), secondary network of low voltage (LV), location of transformers and inspection wells. M

深淵

Performance Analysis of a Direct-Expansion Solar-Assisted Heat Pump Using a Photovoltaic/Thermal Sysg values in tests, such as refrigerant pressure and temperature, were taken in a built prototype every five minutes. The weather data measurements were obtained with a WS-1201 meteorological weather station and a CMP3 pyranometer. Boiling took place in a bare flat-plate solar collector using ambient

SLAY

Enabling the Latent Semantic Analysis of Large-Scale Information Retrieval Datasets by Means of Out-rking with fairly small or average sized datasets and no actual time constraints. Even so, LSA is a high time and space consuming task, which complicates its integration in real-time NLP applications (as, for example, information retrieval or question answering) on large-scale datasets. For this rea

Accord

連鎖,連串

Using Machine Learning Techniques for Discovering Latent Topics in Twitter Colombian Newsplify its use with tweets from a Colombian mass media giant in the period 2014–2019. The latent topic analysis is performed in two ways: with the training of a Latent Dirichlet Allocation model, and with the combination of the FastText unsupervised model to represent tweets as vectors and the implem

Indigence

Latent Semantic Index: A Microservices Architectureically classifying the results can improve user experience and work efficiency. Latent Semantic Indexing (LSI) algorithm is used to classify documents by meaning due to its effectiveness. However, there is a problem with the implementation of this algorithm. LSI is computationally intensive because

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Factors that Affect i-Vectors Based Language Identification Systemsand data parameters. In this study, an analysis of performance of a language identification system is considered, for which we focused only on data parameters in the “Back End” of the system, analyzing the influence of the amount of data and the speaker variability in the training phases of the UBM