Recent Studies in Mathematics and Computer Science Vol. 2
Synopsis
This book covers all areas of mathematics and computer science. The contributions by the authors include Hilbert-type integral inequality; weight function; equivalent statement; beta function; cloud computing; load balancing; optimal solution; artificial intelligence and machine learning techniques; instance-based learning; reinforcement learning; Datanode; Hadoop; weak cluster; equilibrium point; trajectories; Normal distribution; logistic distribution; exponential distribution; best linear unbiased estimation; Riccati equation; duffing equation; integro-differential equations; chaotic solution; differential transforms method; Runge-Kutta 4 (RK4) method; modified equations of Emden type; differential transforms method; Runge-Kutta 4 (RK4) method; Fs-Set; Fs-Subset; (Fs-Point; FsB-toplogical space and FsB-Hausdorff space; random variable; continuous probability distribution; artificial neural network; intelligent transport system; departure rate; density function; mean of the distribution; normalizing constant etc. This book contains various materials suitable for students, researchers and academicians in the field of mathematics and computer Science.
Chapters
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Chapter 1Equivalent Property of a Hilbert-Type Integral Inequality Related to the Beta Function in the Whole Plane
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Chapter 2Secure Information Sharing System
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Chapter 3Current Research on Significance of Artificial Intelligence and Machine Learning Techniques in Smart Cloud Computing: A Review
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Chapter 4CSFC: A New Centroid Based Clustering Method to Improve the Efficiency of Storing and Accessing Small Files in Hadoop: Recent Advancement
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Chapter 5Research on Tanimoto Coefficient Similarity Based Mean Shift Gentle Adaptive Boosted Clustering for Genomic Predictive Pattern Analytics
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Chapter 6Mathematical Modeling on a Typical Three Species Ecology
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Chapter 7Record Values in the Estimation of a Parameter of Some Distributions with Known Coecient of Variation
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Chapter 8The Differential Transform Method (DTM): Solution of Differential Equations
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Chapter 9Solution of Modified Equations of Emden-type by Differential Transform Method: New Perspectives
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Chapter 10A Discussion of Hausdorff Property on Fs-Cartesian Product Topological Spaces
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Chapter 11Arrivals Analysis
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Chapter 12Departures Analysis
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Chapter 13An Approach of Short Term Road Traffic Flow Forecasting Using Artificial Neural Network
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Chapter 14Mean of the Probability Distribution of Departures
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Chapter 15Mean to the Distribution on Arrivals 1