Titlebook: Smart and Innovative Trends in Next Generation Computing Technologies; Third International Pushpak Bhattacharyya,Hanumat G. Sastry,Rashmi

准则

A Quadratic Model for the Kurtosis of Decay Centralitytworks of diverse degree distributions, with R. values of at least 0.99. Using the coefficients ., . and . of the quadratic model for a real-world network, we could estimate the . value (given by: −./2.) for which the Kurtosis(DEC.)/Kurtosis(DEG) ratio is the lowest (given by: . − ./4.) for the real-world network.

Oratory

A Data Mining Approach Towards HealthCare Recommender Systemo considers the preferences of the patient, which are stored in the system as mined rules or estimated from the medical history of patient. The results of experimental setup also demonstrate that the proposed system provides more accurate outcomes over other healthcare recommendation systems.

Sigmoidoscopy

1865-0929 n Computing Technologies, NGCT 2017, held in Dehradun, India, in October 2017..The 135 full papers presented were carefully reviewed and selected from 948 submissions. There were organized in topical sections named: Smart and Innovative Trends in Communication Protocols and Standards; Smart and Inno

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和谐

A Noval Approach to Measure the Semantic Similarity for Information Retrievaletween words of database is a troublesome task. Maintaining semantic similitude between words is substantial chore in chromatic areas such as Natural Language processing tasks like Word sense disambiguation, query expansion as well as web chore such as document bunching, community excavating and aut

aggrieve

Comparative Analysis of Metaheuristics Based Load Balancing Optimization in Cloud Environmentrvice delivery time and cost. The main challenge is to balance the virtual machines (VM) load in cloud environment and it requires distributing the load between many virtual machines while avoiding underflow and overflow conditions, which depend on capacity of VMs. In this paper, load balancing of V

集聚成团

installment

Classification of Hyperspectral Imagery Using Random Forestknown decision boundary feature extraction (DBFE) and non-parametric weighted feature extraction (NWFE) techniques. The most informative features are fed to random forest (RF) classifier to perform pixel-wise classification. The experiments are carried out on two benchmark hyperspectral images. The

gerontocracy

剥皮

Detection and Estimation of 2-D Brain Tumor Size Using Fuzzy C-Means Clustering tissue mass is required for the exact diagnosis of tumor. This paper presents a technique for brain tumor segmentation and detection in magnetic resonance image (MRI) using a hybrid approach of fuzzy c-means clustering followed by mathematical morphology. Further length & width is calculated based