Complexity and Persistence of Price Time Series of the European Electricity Spot Market [PDF]
Chengyuan Han +7 more
openalex +1 more source
Hypergraphs in m-Polar Fuzzy Environment
Fuzzy graph theory is a conceptual framework to study and analyze the units that are intensely or frequently connected in a network. It is used to study the mathematical structures of pairwise relations among objects. An m-polar fuzzy (mF, for short) set
Muhammad Akram, Gulfam Shahzadi
doaj +1 more source
New related-key rectangle attack on 42-round SHACAL-2
A new 34-round related-key rectangle distinguisher was constructed by exploiting the properties of the round transform of SHACAL-2. Moreover, two new relate-key rectangle attacks on 40-round and 42-round reduced SHACAL-2 were presented by using both the ...
WEI Yong-zhuang1, 2
doaj
Center of Trapezoid Graph: Application in Selecting Center Location to Set up a Private Hospital
The central location problem is a key aspect of graph theory, with a significant importance in various applications and studies within the field. The center of a graph is made up of nodes that have the smallest eccentricity, where eccentricity is defined
Shaoli Nandi +5 more
doaj +1 more source
Efficient and Accurate Hausdorff Distance Computation Based on Diffusion Search
The Hausdorff distance (HD) between two point sets is widely used in similarity measures, but the high computational cost of HD algorithms restrict their practical use.
Dejun Zhang +3 more
doaj +1 more source
Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning
Conventional Fourier domain Optical Coherence Tomography (FD-OCT) systems depend on resampling into a wavenumber (k) domain to extract the depth profile.
Maryam Viqar +3 more
doaj +1 more source
Optimisation of mobile intelligent terminal data pre-processing methods for crowd sensing
Sensor data pre-processing is an essential phase of crowd sensing application. Existing studies do not effectively solve the problem, and there still exist various sensor data pre-processing optimisation problems at the acquisition end in crowd-sensing ...
Min Huang +3 more
doaj +1 more source
Linear time complexity de novo long read genome assembly with GoldRush. [PDF]
Wong J +7 more
europepmc +1 more source
Network Planning and Routing Problems over Time: Models, Complexity and Algorithms (Invited Talk)
Lukas Glomb +3 more
openalex +2 more sources
The Computational Complexity of Estimating Convergence Time [PDF]
An important problem in the implementation of Markov Chain Monte Carlo algorithms is to determine the convergence time, or the number of iterations before the chain is close to stationarity. For many Markov chains used in practice this time is not known.
Bhatnagar, Nayantara +2 more
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