Titlebook: Intelligent Systems Design and Applications; 18th International C Ajith Abraham,Aswani Kumar Cherukuri,Niketa Gandhi Conference proceedings

難理解

Analysis on Improving the Performance of Machine Learning Models Using Feature Selection Technique,tiality, integrity and availability of network systems. It is a big challenge to build a reliable network as several new attacks are being introduced by the attackers. The aim of this paper is to improve the performance of the various machine learning algorithms such as KNN, Decision Tree, Random Fo

AMPLE

appall

A Normalized Rank Based A* Algorithm for Region Based Path Planning on an Image,e of the heuristic, a normalized rank-based A* algorithm has been proposed in this paper to find the optimal path between a start and destination point on a classified image. The input image is classified and a normalized rank value based on the priority of traversal on each class is associated with

使更活躍

Quantum Inspired High Dimensional Conceptual Space as KID Model for Elderly Assistance,ledge-Information-Data (KID) model. The novel cognitive framework called high dimensional conceptual space is proposed and used as KID model. This KID model is built using geometrical framework of conceptual spaces and formal concept analysis (FCA) to overcome imprecise concept notation of conceptua

PAEAN

五行打油詩(shī)

Identification of Phishing Attack in Websites Using Random Forest-SVM Hybrid Model,o perform phishing with sources that are available in public. Financial losses are experienced by businesses and customers thus decreasing confidence in e-commerce. Hence there is a necessity to implement countermeasures to overcome phishing attacks in the website. In this paper, a hybrid model is p

Parameter

Conflict Detection and Resolution with Local Search Algorithms for 4D-Navigation in ATM,hodologies for conflict detection and resolution (CDR) have been developed to the aviation community, the legacy problem is to find an efficient scheme to present the trajectories in this complex network with massive data and further to detect and resolve the conflicts. In this research we develop a

積云

Using Severe Convective Weather Information for Flight Planning,anagement?(ATM). The stakeholders in ATM track weather conditions to appropriately respond against new environmental settings. The proposed work builds an intelligent system to constantly monitor the impact of severe weather on airways, which are corridors with specific width and height connecting t

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Entrancing

A Semi-local Method for Image Retrieval,and shape. Local features were successfully used for object category recognition and classification to extract the local information from a set of interest points or regions. In this paper, we propose a semi-local method to extract the features based on the previous features extraction methods. Our