Titlebook: Data Communication and Networks; Proceedings of GUCON Lakhmi C. Jain,George A. Tsihrintzis,Dilip Kumar S Conference proceedings 2020 Spring

增強(qiáng)

Abnormal

雜役

A Novel Hybrid User Authentication Scheme Using Cognitive Ambiguous Illusion Images,fing and brute-force. On the other hand, graphical passwords are easy to remember and memorize. But they are still not commonly used as they have some issues like increased user login time, and small password space. In today’s scenario where number of data breaches is increasing, more secure authent

maroon

,Fault Classification in a Transmission Line Using Levenberg–Marquardt Algorithm Based Artificial Neto classify all types of faults, namely phase to ground, phase to phase, three-phase fault, and double line to ground faults that may occur at different fault locations and involve varying fault impedances in the power system using artificial neural networks (ANNs). Owing to the advantages of an art

咒語(yǔ)

commensurate

Antagonism

Weighted Frequent Itemset Mining Using OWA on Uncertain Transactional Database,ost commonly used term is Frequent Itemset Mining Algorithms which is one of the vital parts of Association Rule Mining. The evolutionary improvement in FIM is Weighted Frequent Itemset Mining, and these algorithms can be executed on Certain/Probabilistic Uncertain databases for calculating importan

炸壞

Design of Customer Information Management System,tion that takes the customer and the item details from the external source files and store the same in the Data Warehouse (DW) is required. It is an ETL system developed to create the mapping to load the target from the source files after applying criteria as required by the administrator and will a

muscle-fibers

Modeling Machine Learning Agent for Interaction Conversational System Using Max Entropy Approach inle of these services, there are several issues that occur. User wants an interface for complaint. This paper uses the sentence boundary detection, NER, document categorization, and sentiment extraction methodologies. The natural language processing generates the training model which is a statistical

傳染

Analysis of Energy Consumption in Dynamic Mobile Ad Hoc Networks,hen ongoing transmission in the network is disrupted and discontinued. Mobile nodes can communicate with each other directly or multi-hop fashion. A mobile node uses battery power while working in various modes, i.e., transmitting, receiving, idle, and sleep. Routing protocols, MAC layer, and other