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MatLab IEEE Projects for Final Year Engineering Students

II. MATLAB based on DATA FORENSICS (IEEE 2022)

  1. Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking
  2. Head CT Image Convolution Feature Segmentation and Morphological Filtering for Densely Matching Points of IoTs
  3. Cross-Domain Correspondence for Sketch-Based 3D Model Retrieval Using Convolutional Neural Network and Manifold Ranking 
  4. A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes
  5. Cost-Effective Video Summarization Using Deep CNN With Hierarchical Weighted Fusion for IoT Surveillance Networks
  6. An Efficient Framework for Secure Image Archival and Retrieval System Using Multiple Secret Share Creation Scheme

II. MATLAB based on ANATOMIZE INFORMATION SYSTEM (IEEE 2022)

  1. Representation and Classification of Auroral Images Based on Convolutional Neural Networks
  2. Manuscripts Image Retrieval Using Deep Learning Incorporating a Variety of Fusion Levels
  3. Convolutional Neural Network to Retrieve Water Depth in Marine Shallow Water Area From Remote Sensing Images
  4. Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras
  5. Digital watermarking secure scheme for remote sensing image protection
  6. Efficient Management of Ultrasound Images using Digital Watermarking
  7. Joint Watermarking-Encryption-JPEG-LS for Medical Image Reliability Control in Encrypted and Compressed Domains
  8. Prediction-Based Reversible Watermarking of CT Scan Images for Content Authentication and Copyright Protection
  9. Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things
  10. A Steganography Method Using Neural Networks
  11. A New Convolutional Neural Network-Based Steganalysis Method for Content-Adaptive Image Steganography in the Spatial Domain
  12. An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography

III. MATLAB based on BIO-AESCULAPIUS IMAGING (IEEE 2022)

  1. A PUF-Based Data-Device Hash for Tampered Image Detection and Source Camera Identification
  2. Detection of Spliced Image Forensics Using Texture Analysis of Median Filter Residual
  3. A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection
  4. Forensic Similarity for Digital Images
  5. Deep Learning Based Person Authentication Using Hand Radiographs: A Forensic Approach
  6. Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression
  7. An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection
  8. Multi-Scale Deep Residual Learning-Based Single Image Haze Removal via Image Decomposition
  9. Image Haze Removal Using Airlight White Correction, Local Light Filter, and Aerial Perspective Prior
  10. Smoke detection in ship engine rooms based on video images
  11. Thick Clouds Removal From Multitemporal ZY-3 Satellite Images Using Deep Learning
  12. Region-Based Removal of Thermal Reflection Using Pruned Fully Convolutional Network
  13. An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
  14. Vertebral Tumor Detection and Segmentation Using Analytical Transform Assisted Statistical Characteristic Decomposition Model

IV. MATLAB based on E-MAIL & WIRELESS APPLICATION (IEEE 2022)

  1. Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework
  2. Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule
  3. A Secure End-to-End Verifiable Internet-Voting System Using Identity-Based Blind Signature
  4. Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics

V. MATLAB based on NEURAL NETWORKS (IEEE 2022)

  1. A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor
  2. Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder–Decoder Network 
  3. Automatic Vehicle License Plate Recognition Using Optimal K-Means With Convolutional Neural Network for Intelligent Transportation Systems
  4. Deep Learning Assisted Predict of Lung Cancer on Computed Tomography Images Using the Adaptive Hierarchical Heuristic Mathematical Model
  5. Automated Complete Blood Cell Count and Malaria Pathogen Detection Using Convolution Neural Network

VI. MATLAB based on BIO-METRIC RECOGNITION (IEEE 2022)

  1. Optimizing Speech Recognition Using a Computational Model of Human Hearing: Effect of Noise Type and Efferent Time Constants
  2. Finger Vein Image Inpainting With Gabor Texture Constraints
  3. Vein Recognition Algorithm Based on Transfer Nonnegative Matrix Factorization
  4. Ensemble of Deep Convolutional Neural Networks With Gabor Face Representations for Face Recognition
  5. Face image recognition based on convolutional neural network
  6. Multi-Perspective Object Detection for Remote Criminal Analysis
  7. Palmprint Recognition in Uncontrolled and Uncooperative Environment

VII. MATLAB based on H2M COMMUNICATION (IEEE 2022)

  1. Using Deep Learning in Infrared Images to Enable Human Gesture Recognition for Autonomous Vehicles
  2. An Imperceptible Medical Image Watermarking Framework for Automated Diagnosis of Retinal Pathologies in an eHealth Arrangement
  3. Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling
  4. A Two-Stage Convolutional Neural Networks for Lung Nodule Detection
  5. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
  6. Design of Automatic Lung Nodule Detection System Based on Multi-Scene Deep Learning Framework

VIII. MATLAB based on AGRI-MAN MANAGEMENT (IEEE 2022)

  1. Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion
  2. Automatic Detection of Plant Rows for a Transplanter in Paddy Field Using Faster RCNN 
  3. Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet
  4. Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks
  5. A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification
  6. Recognition of Weeds in Wheat Fields Based on the Fusion of RGB Images and Depth Images
  7. Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing
  8. Frost Monitoring Cyber–Physical System: A Survey on Prediction and Active Protection Methods

IX. MATLAB based on MACHINE-EYE (IEEE 2022)

  1. Joint Watermarking-Encryption-JPEG-LS for Medical Image Reliability Control in Encrypted and Compressed Domains
  2. Prediction-Based Reversible Watermarking of CT Scan Images for Content Authentication and Copyright Protection
  3. Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
  4. A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion
  5. Towards Real-Time Eyeblink Detection in the Wild: Dataset, Theory and Practices

X. MATLAB based on AURAL PROCESSING (IEEE 2022)

  1. Speech Enhancement Parameter Adjustment to Maximize Accuracy of Automatic Speech Recognition
  2. Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM
  3. RFPS: A Robust Feature Points Detection of Audio Watermarking for Against Desynchronization Attacks in Cyber Security

XI. MATLAB based on VIDEO PROCESSING (IEEE 2022)

  1. Comprehensive Drowsiness Level Detection Model Combining Multimodal Information 
  2. Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges
  3. Cloud-Based Driver Monitoring System Using a Smartphone
  4. Joint Transmission Map Estimation and Dehazing Using Deep Networks
  5. High-Definition Video Compression System Based on Perception Guidance of Salient Information of a Convolutional Neural Network and HEVC Compression Domain
  6. Fire Detection and Recognition Optimization Based on Virtual Reality Video Image 
  7. Information-Guided Flame Detection Based on Faster R-CNN
  8. Smoke detection in ship engine rooms based on video images
  9. Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition
  10. An Efficient Commutative Encryption and Data Hiding Scheme for HEVC Video

XII. MATLAB based on STRUCTURE DESIGN AND MONITORING  (IEEE 2022)

  1. Detection of Surface Breaking Cracks Filled With Solid Impurities
  2. Pavement crack detection network based on pyramid structure and attention mechanism

XIII. MATLAB based on IMAGE ENHANCEMENT (IEEE 2022)

  1. Object Tracking Algorithm Based on Adaptive Detection
  2. Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks
  3. Effective object proposals: size prediction for pedestrian detection in surveillance videos 
  4. Accurate Pedestrian Detection by Human Pose Regression 
  5. Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks
  6. Color Image Compression and Transmission With Bit-Error Awareness
  7. A Motion Deblur Method Based on Multi-Scale High Frequency Residual Image Learning 
  8. Blind Deblurring of Text Images Using a Text-Specific Hybrid Dictionary
  9. Convolutional Deblurring for Natural Imaging

XIV. MATLAB based on HEALTH (IEEE 2022)

  1. Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning 
  2. Retrospective DVH analysis of point A based intracavitary brachytherapy for uterine cervical cancer
  3. Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features
  4. Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation
  5. Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network
  6. Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks
  7. Counting and Classification of Malarial Parasite From Giemsa-Stained Thin Film Images

XV. MATLAB based on HEALTH (IEEE 2022)

  1. Real-Time Detection Method for Small Traffic Signs Based on Yolov3
  2. Detecting abnormal events in traffic video surveillance using superorientation optical flow feature
  3. Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features
  4. Mixed Vertical-and-Horizontal-Text Traffic Sign Detection and Recognition for StreetLevel Scene

XV. MATLAB based on GRAPHICS (IEEE 2022)

  1. Detection of exudates in retinal images. (IEEE 2019)
  2. Crop and Weeds Classification for Precision Agriculture using Context-Independent Pixel-Wise Segmentation. (IEEE 2019)
  3. Lung nodule detection. (IEEE 2019)
  4. Design of Intelligent Classroom Attendance System Based on Face Recognition. (IEEE 2019)
  5. OTP Based Cardless Transction using ATM. (IEEE 2019)
  6. Glaucoma Screening through Level Set for Optic Disc Segmentation and Textural Features for Classification. (IEEE 2019)

XVI. MATLAB based on GREEN-IOT (IEEE 2022)

  1. Deep Learning-Based Object Detection Improvement for Tomato Disease
  2. An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature 
  3. Crop Leaf Disease Image Super-Resolution and Identification With Dual Attention and Topology Fusion Generative Adversarial Network

 

XVII. MATLAB based on REAL TIME SOLUTION (IEEE 2022)

  1. Timber Wood Defect Analysis using Machine learning.
  2. Covid Prediction using Machine learning
  3. Covid Prediction using Deep learning

Why MatLab

When it comes to the world of mathematics Matlab is the first priority. It’s a power tool which is utilized for versatile operations which includes numerical computation, computer vision, aerospace research, virtual modelling, image processing, finance, graphical user interface & much more. Matlab is a scripting language, where one can easily start programming with the help of predefined matlab commands. The application of matlab toolboxes are endless Matlab helps to learn its features easily by mathworks documentation section. So, why wait? Learn this amazing technology at our concern & endorse yourself with matlab skills at corporate level

Why MatLab at Uniq?

At UNIQ Technologies, chennai we offer IEEE final year projects on matlab. There is a chance for students who they are in urge of find out the best project centre in Coimbatore. Guiding students towards the updated technology is our major intension so that we offer the newest 2016 IEEE papers. One of the finest tool boxes in matlab is image Processing. Our considerable projects are comes under this domain. We make sure that, during the final year project submission your individuality will be sustained. Remittance for your training will be in acceptable level. Utilize the chance and be at UNIQ.

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