Titlebook: Smart Trends in Information Technology and Computer Communications; Second International A.V. Deshpande,Aynur Unal,Shafi Pathan Conference

结果

Internet Traffic Intrusion Detection System Using Adaptive Neuro-Fuzzy Inference System. For the system to work with high accuracy, the True Negative Rate and True Positive Rate must be maximum. This paper compares the fuzzy and neural network techniques (developed previously) using the same dataset with that of neuro fuzzy. The paper mainly focuses on ANFIS and the concepts of fuzzy and neural network used to develop this system.

凌辱

Forecasting Student’s Internet Utilization Through Artificial Neural Networksining data with three layers with five algorithms of NN are simulated and compared the results. Optimal artificial neural network model is proposed as a final outcome. Experimentation was carried out in R software.

enflame

mitral-valve

Design of High Gain LNA for Wireless Front-End Communication on the minimum available power a high gain LNA is designed considering cascode inductive source degeneration topology. The gain is enhanced by incorporating an inter-stage matching element. The results established 28.21 dB Voltage gain with 0.541 dB noise figure.

delegate

Tidious

Benchmarks for Evaluation of Wireless Sensor Network Clustering proven to be an effective technique to do this job with increased efficiency. In clustering, the network is divided into smaller regions, namely clusters, and each cluster has a Cluster Head (CH). Data from all the member nodes in a cluster is collected by CH and then forwarded to the sink after ag

defeatist

Internet Traffic Intrusion Detection System Using Adaptive Neuro-Fuzzy Inference Systemany compromise on the security constraints, we have developed a system using the combination of two soft computing techniques, namely fuzzy and neural network. The designed system for intrusion detection is the Adaptive Neuro-Fuzzy Inference System (ANFIS), which detects whether the incoming data is

傻瓜

Forecasting Student’s Internet Utilization Through Artificial Neural Networksrning. Our study focuses on use of the internet by students according to academic perspective. The objective is to predict most affecting variables which deal with the causes and reasons of possible restriction on usage of the internet by students. The study has deployed artificial neural network (A

Mutter

Conversational Bots with Workflow Services Architecture for Smart Travel Systemsrt travel experience for travelers. Conversational bots are modern chat messengers where the computer is trained to learn and respond to human queries using Natural Language Processing (NLP) for various languages and advanced machine learning algorithms. We propose an architecture that integrates va

定点

Power Mitigation in High-Performance 32-Bit MIPS-Based CPU on Xilinx FPGAspipeline, to incorporate power optimization techniques for FPGAs. The functionality of this design has been verified by writing Verilog Modules on Xilinx 14.5 selecting the target FPGA device. The design helps to improve the speed and increase the whole throughput of the processor. Synthesis and sim