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  We provide projects on wireless communication, WEKA, SentiWordNet, SDN, QUALlNet, OPNET, OpenCV, MiniNet, PEERSIM and so on

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  We do research on Wordnet, Grid Computing, Cloud Computing, Computer Networking, etc

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  We provide electrical projects based on power electronics, MATLAB Simulink and SIM Power

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  For Electronics Engineering Students we support technologies like ARM, GSM, GPS, RFID, Robotics, VLSI, NSL, NS3, OMNet++, OPNet, QUALNET, PeerSim

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  For Computer Science Students we support NS2, NS3, MATLAB, Java, OMNeT++, OPNet, CloudSim, Qualnet, Weka, Wordnet, Dot Net, Hadoop,….

Engineering Student Projects is very help to improve the student knowledge. We are the leading concern to provide the engineering student projects.

Inspite of vast kind in engineering student projects complete support is rendered to all kinds, here we speak about some of this types.

Engineering student projects

Image mining is one the important research area in data mining. we consider image inputs only. Feature selection, feature extraction, classification, clustering, ranking, indexing, color, shape, text, notation is the important techniques for this area. All techniques and algorithms for above mention methods we provide the solution.

IMAGE PROCESSING covert the digital image. In our ordinary image can be convert to the digital image. Digital image only possible to operate the image processing techniques such as Improve clarity, noise removal Feature selection, Feature Extraction.

Engineering student project

Data can be access using various medium is simply called cloud computing. Cloud computing projects mostly depends the scheduling, load balancing, resource allocation, migration etc.

VM consolidation policies, Cloud heterogeneity, Workload heterogeneity we use cloud computing simulation tools like cloud analyst & cloudsim.

Engineering student projects list

To identify the useful communication medium is called Cognitive radio network. Major process of the Cognitive Capability, Spectrum Sensing, Spectrum Sharing, Location Identification, Network/System Discovery, Service Discovery can be develop using the NS2 & OMNET++ and some network simulation tools.

LATEST IEEE PROJECTS:

• Median Filtering Forensics Based on Convolutional Neural Networks
• Data Warehousing Based Computer Forensics Investigation Framework
• Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics
• Using Geolocation for the Strategic Preincident Preparation of an IT Forensics Analysis
• Feasibility analysis for incorporating/deploying SIEM for forensics evidence collection in cloud environment
• Active Learning in Context-Driven Stream Mining With an Application to Image Mining
• Object analysis in image mining
• Accelerated Probabilistic Learning Concept for Mining Heterogeneous Earth Observation Images
• PPDM: Privacy-preserving Protocol for Dynamic Medical Text Mining and Image Feature Extraction from Secure Data Aggregation in Cloud-assisted e-Healthcare Systems
• Mining Latent Attributes From Click-Through Logs for Image Recognition
• Extended performance appraise of Bayes, Function, Lazy, Rule, Tree data mining classifier in novel transformed fractional content based image classification
• Novel data mining based image classification with Bayes, Tree, Rule, Lazy and Function Classifiers using fractional row mean of Cosine, Sine and Walsh column transformed images
• Sparse image reconstruction by two phase RBM learning: Application to mine planning
• A pragmatic approach for detecting liver cancer using image processing and data mining techniques
• New Methods for Big Data Analysis in Images
• Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies
• Analysis and prediction of natural disaster using spatial data mining technique
• Inspiration of Traditional Ash-Bashing Pictures to Image Design of Two-Dimensional Animation
• Diversity in image retrieval based on inferring user image search goals
• Geographical Topics Learning of Geo-Tagged Social Images
• Detection of brain tumor in MRI images, using combination of fuzzy c-means and SVM
• Motion Error Influence on Segmentation and Classification Performance in SAS-Based Automatic Mine Countermeasures
• A model of the spatial microenvironment of the colonic crypt
• SaCoseg: Object Cosegmentation by Shape Conformability
• Histogram of dense subgraphs for image representation

List of Projects