Titlebook: Smart Intelligent Computing and Applications; Proceedings of the S Suresh Chandra Satapathy,Vikrant Bhateja,Swagatam Conference proceeding

反省

Energy Efficient Forwarding Data and Route Selection (EEFDRS) Algorithm for Wireless Body Area Netw includes the major contributions of (1) to reduce the size of physiological data, compressed sensing technology is used, and the data packets are to be forwarded (2) EEFDRS route selection algorithm is proposed for the best stable, and optimal path for data transmission is selected. In addition, EE

晚间

,Skin Melanoma Assessment Using Kapur’s Entropy and Level Set—A Study with Bat Algorithm,tudy among extracted skin melanoma with the ground truth. The experimental result verifies that the proposed technique is easy to implement and offers superior values of Jaccard (0.8805), Dice (0.9138), sensitivity (0.9927), specificity (0.9177), and accuracy (0.9628).

FAZE

Conference proceedings 2019n various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and industries. The volume publishes quality work pertaining to the scope of the conference which is extended towards deplo

CHIDE

终点

学术讨论会

An Empirical Study on Community Detection Algorithms,ng in plenty of algorithms that come into picture to find effective way of detecting communities in a graph. In this paper, authors have presented different community detection algorithms and also discussed their pros and cons. Finally, authors stated some of the research challenges in this area.

macular-edema

flammable

,A Survey on Acronym–Expansion Mining Approaches from Text and Web,ronym definitions from text and Web documents. This paper presents those approaches and also reveals the Web-based methods used for disambiguating, ranking, finding popularity score, and context words of the expansions. The scope for the future work in this research area is also conferred in this paper.

IRATE

Deformable Facial Fitting Using Active Appearance Model for Emotion Recognition,ure space so that the resulting within class scatter matrix is non-singular and then apply the linear discriminant analysis (LDA) to reduce the dimensions still further. The experimental results on unseen and seen faces show that fitting accuracy is better and takes less time to fit when compared with existing AAMs.

Inexorable