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cscap algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
from mapping » from vaping (Expand Search)
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
Published 2022“…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …”
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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
Published 2024“…The goal of this study is to use a promising technique for dimension reduction that reduces the noise but maintains the inter-view and cross-view consensus. A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …”
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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From Collatz Conjecture to chaos and hash function
Published 2023“…Most Chaos-based hash functions are insecure or inefficient due to their dependence on complex, attacked multi-dimensional maps or uncertain, weak one-dimensional maps like logistic and tent. …”
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…First, a text mining algorithm is proposed for extracting concepts and their semantic relations from text documents. …”
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Map-based mobile positioning system
Published 2002“…In this paper, a mobile positioning system (MPS) is proposed based on a map-matching algorithm. Using the triangulation or a trilateration technique, the Cell of Origin, Time of Arrival, and Time Difference of Arrival, the mobile is first located within a specified area of about 500x500 squared meters in a GSM network and within a specified area of about 244x244 squared meters in an IS-95 network. …”
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Indoor Localization Based on Floor Plans and Power Maps
Published 2015“…Then, the power map is used to produce an initial estimate for the position of the receiver, from which the total losses due to obstacles in the environment are calculated. …”
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Map-based land vehicle navigation system with DGPS
Published 2003“…In this paper a positioning system is proposed, which employs only a DGPS or GPS receiver and a map-matching algorithm. The algorithm correlates the received power from different GPS satellite vehicles (SVs), leading to a specific signature, to a stored map with periodic time-varying estimates of SVs received powers. …”
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Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr...
Published 2020“…Each pair of produced mangrove maps (1990–2000, 2000–2010, 2010–2019, and 1990–2019) was used to image difference algorithm to monitor mangrove extent by applying a threshold ranges from +1 to −1. …”
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Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
Published 2024“…In the first part, we employ NLP techniques and machine learning algorithms to extract and analyze tweets containing keywords related to loneliness. …”
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A map matching approach for train positioning. Part I: Development and analysis
Published 2000“…The core of this algorithm is correlating angular rate extracted from the map database to their corresponding measurements sensed by the yaw gyro and tachometer located on board the vehicle. …”
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Parallel genetic algorithm for disease-gene association
Published 2011“…Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…”
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
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