K-means and k-medoids: Cluster analysis on birth data collected in city Muzaffarabad, Kashmir
In the field of medical, each and every analysis is decisive as the study links to life of the
subject under observation. One of the most vital area in the field of medical is the healthcare …
subject under observation. One of the most vital area in the field of medical is the healthcare …
Characterizing complexity and self-similarity based on fractal and entropy analyses for stock market forecast modelling
Complex systems constitute components that interact with one another and involve
phenomena which are not always easy to understand in terms of their components and …
phenomena which are not always easy to understand in terms of their components and …
Fractal and multifractional-based predictive optimization model for stroke subtypes' classification
Numerous natural phenomena display repeating self-similar patterns. Fractal is used when
a pattern seems to repeat itself. Fractal and multifractal methods have extensive applications …
a pattern seems to repeat itself. Fractal and multifractal methods have extensive applications …
Computational fractional-order calculus and classical calculus AI for comparative differentiability prediction analyses of complex-systems-grounded paradigm
Modern science having embarked on the thorough and accurate interpretation of natural
and physical phenomena has proven to provide successful models for the analysis of …
and physical phenomena has proven to provide successful models for the analysis of …
Fractal higher-order dispersions model and its fractal variational principle arising in the field of physcial process
Y Khan - Fluctuation and Noise Letters, 2021 - World Scientific
This paper introduces the fractal version of the higher-order dispersion model for the
construction of novel soliton solutions through fractal variational technology. Higher-order …
construction of novel soliton solutions through fractal variational technology. Higher-order …
Hidden markov model and multifractal method-based predictive quantization complexity models vis-á-vis the differential prognosis and differentiation of multiple …
Abstract Hidden Markov Model (HMM) is a stochastic process where implicit or latent
stochastic processes can be inferred indirectly through a sequence of observed states. HMM …
stochastic processes can be inferred indirectly through a sequence of observed states. HMM …
Quantum statistical perspective to examine the source chaos fraction through boson femtoscopy
Bose–Einstein correlations of identical particles reveal the shape and size of the particle
emitting source of the given boson. These correlations are pivotal for a better understanding …
emitting source of the given boson. These correlations are pivotal for a better understanding …
[图书][B] Fractal analysis: Basic concepts and applications
Fractals in analysis, geometry, and generally in science are nowadays very popular
concepts. The appearance of such concepts in science is due essentially to Mandelbrot by …
concepts. The appearance of such concepts in science is due essentially to Mandelbrot by …
A critical analysis of chaos based behavior inspired coherent smattering with its potential significance
In this paper, we investigated the influence of temperature and momentum-dependent
coherence-chaos radiations on particle excretion from a fluid with quantum supremacy. The …
coherence-chaos radiations on particle excretion from a fluid with quantum supremacy. The …
Performance analysis of classification algorithms on birth dataset
Generating intuitions from data using data mining and machine learning algorithms to
predict outcomes is useful area of computing. The application area of data mining …
predict outcomes is useful area of computing. The application area of data mining …