Matlab Based Projects for Mtech


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Matlab Based Projects for Mtech students is a service started by us for the students who feel to perform ground-breaking research as a part of their academic project. Everyone is capable of doing remarkable research, but someone needs to initiate the fire to achieve that desire. We are here to lend our hands as a supportive and guiding background for students who feel to reach the pinnacle of success. We provide prime support in matlab based projects for Mtech students from our top experts. In general, we have served students from 120+ countries worldwide and have created numerous scholars and top experts. We have created our own separate network with our researcher, which makes us as a knowledge hub for budding students. If you wish to stand high in the midst of others, approach us with your needs.

Matlab Based Projects For Mtech

   Our  Matlab Based Projects for Mtech students offers you a wide collection of innovative and eye-catching projects. Generally, M.tech students prefer projects in Matlab due to its platform support to explore the field of research. We can guide you in the best way as we know what makes your project valuable and worthy. We are members of the top 500+ journals, which update us with all the latest concepts and techniques. According to their domain of interest, our experts mine the best topic for the postgraduate students using their vast knowledge and experience. To make your project worthy, the two most important aspects are the algorithm and dataset used. These both are the decisive factor of your project. Let’s have a glance over the datasets and algorithms used in various research fields

MTech Projects based on matlab and Simulink

Research Areas With Algorithms In Matlab

Artificial Intelligence

  • Genetic algorithm
  • Particle swarm algorithm
  • Stimulated annealing
  • Ant colonization algorithm
  • Fuzzy logic systems
  • And so on

Machine Learning Algorithms

  • Logistic Regression
  • SVM(Support vector machine)
  • Linear regression
  • Decision tree
  • Naïve Bayes
  • K-Means and KNN
  • Random forest algorithm
  • And also many more

Pattern Recognition And Computer Vision

  • Supervised learning algorithm(SVM, HOG feature extraction )
  • Unsupervised method algorithm(K-mean clustering, Gaussian mixture model, Markov model)
  • And so on

Image Processing

  • Edge detection (Sobel, canny etc)
  • Thresholding(Otsu’s method)
  • Segmentation(Clustering algorithm-k-means, watershed segmentation etc)
  • Classification(ANN, decision tree, SVM etc)
  • Image denoising (Mean and median filters, adaptive filters etc)
  • And also many more

Neural Networks

  • Back propagation algorithm
  • Fuzzy K-means algorithm
  • Resilient back propagation algorithm
  • LMS algorithm
  • Genetic algorithms etc
  • And so on

Datasets Used In Matlab (2D And 3D)

  • Medical Imaging(4D and 5D)
  • CT images
  • MRI images
  • X-ray and also ultrasonic
  • SAR and also ASTER
  • PET and also PET-CT
  • Biometric images-Finger, face and also iris
  • Satellite images
  • And so on

   Based on these two aspects, students can enhance their project performance. To get a better understanding of M.tech projects, let’s have a glance over a few recent topics in Matlab

Matlab Based Projects Topics For Mtech Students

  • A new Face and Iris Recognition  method also to Exploring the Usefulness of Light Field Cameras for Biometrics
  • An Efficient  Tool for Automated Recovery of Fragmented JPEG Files by also using JPGcarve
  • An efficient method Convolutional Neural Networks also for Fingerprint Liveness Detection
  • A novel technology on Information Theory and also the IrisCode
  • A new approach Semantics-Based Online Malware Detection, for  Efficient Real-Time Protection Against Malware
  • The efficient Security Analysis and Performance Results also based on Secretly Pruned Convolutional Codes
  • A novel technology for perceptual Visual Security Index also Based on Edge and Texture Similarities
  • An effective approach on Game-Theoretic Framework also for Optimum Decision Fusion in the Presence of Byzantines
  • A new secure approach A Security Metric for Evaluating the Resilience of Networks Against Zero-Day Attacks also based on Network Diversity
  • A novel technology for Adaptive Steganalysis also Based on Embedding Probabilities of Pixels

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