Titlebook: Computational Intelligence, Communications, and Business Analytics; Second International Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Kousik D

patriot

Automatic Multiclass Classification of Foliar Leaf Diseases Using Statistical and Color Feature Extromes tedious and time consuming to observe the infected parts of plants manually. Recourses with proper expertise are also required to have continuous monitoring. Digital image processing along with computer vision techniques can be applied to automate early detection of plant diseases and it can sa

Sinus-Node

CLAIM

On Developing Interval-Valued Dual Hesitant Fuzzy Bonferroni Mean Aggregation Operator and Their AppHF) information. Firstly, the concept of IVDHF Bonferroni mean (IVDHFBM) operator is introduced. Some desirable properties of IVDHFBM are then investigated in detail. Further, IVDHF weighted Bonferroni mean (IVDHFWBM) operator is proposed considering different preference degrees of input arguments.

先鋒派

Deep Convolutional Neural Network Based Facial Keypoints Detectionidual. It becomes a more challenging proposition as the same person facial image may also vary due to change in position, size, pose, expression etc. Some methods exist in literature for detection of FKPs. In this paper, a deep architecture is used to locate the keypoints on gray-scale images. As ba

Mere僅僅

A Frame Work for Detection of the Degree of Skin Disease Using Different Soft Computing Modelseases and subsequent remedy regarding application of medicines have been stored in Computer memory. Based on the conditions of sickness of a particular organ of the patient, the status of the disease of that person can be ascertained using the stored information in the computer and accordingly cert

Harness

Load Balancing Strategy in Cloud Computing Using Simulated Annealingirement here the resources like CPU, bandwidth and memory are provisioned and un-provisioned dynamically via an internet. To provide large scale computing infrastructure, these resources need to be scaled up and down dynamically on demand of the users in very flexible manner. The last decade records

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phytochemicals

An Improved Technique for Modeling Fuzzy Time Seriesies forecasting, performance of the model depends on two important steps: (1) Interval creation technique and (2) determination of fuzzy logical relationships (FLR) between past and present state. This paper presents a variable length data partitioning technique using Particle Swarm Optimization (PS