Development of an artifical intelligence based system for identifying crop and vegetable diseases
An Event-based framework for object-oriented analysis, computation of metrics and identification of test scenarios
A study on redescriptive mining techniques on various domains
Study on two node tandem communication network models with feedback under dynamic and width allocation having homogeneous and non homogeneous poisson arrivals
Metaheuristics FADE based artificial bee colony optimization algorithm to improve performance of wireless networks
Efficient information retrieval using multitype feature coselection for clustering in heterogeneous database
Timely detection and predictions of crime and terrorism activities in smart cities
Use of machine learning algorithm to optimize the performance of recommendation system for e commerce by alleviating cold start problem and shilling attack
Design and analysis of efficient collaborative filtering based optimization approach
Optimization of preprocessing strategies for classification using hybrid methods in sentiment analysis
Design and evaluate object identification and recognition system for detecting vehicles in traffic controlling
Development and enhancement of deep learning approach for cereal crops disease diagnosis
A novel approach in business intelligence for big data analysis using unsupervised techniques of machine learning
Towards improving performance and fault tolerance in wireless body area network
Increasing fault tolerance in distributed computing by using deep learning approach
Analysis, prediction and forecasting of user behaviour during online shopping using machine learning
Prediction of diabetes mellitus using machine learning algorithms
An Investigation into time encoding neural networks for integration of distributed information in perceptual visual organization
Analyzing And Developing Technique For Mining Very Large Databases To Support Knowledge Exploration
Performance measurement and analysis of PC based cluster server using set of Architecture and modeling a scalable high performance cluster
