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Matlab IEEE Projects for Engineering Students

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IEEE Projects for Students

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.. Matlab Projects

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I. MATLAB based on DATA FORENSICS

1.Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking.(IEEE 2020)
2. Head CT Image Convolution Feature Segmentation and Morphological Filtering for Densely Matching Points of IoTs. (IEEE 2020)
3. Cross-Domain Correspondence for Sketch-Based 3D Model Retrieval Using Convolutional Neural Network and Manifold Ranking. (IEEE 2020)
4. A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant View Point and Appearance Changes. (IEEE 2020)
5. Cost-Effective Video Summarization Using Deep CNN With Hierarchical Weighted Fusion for IoT Surveillance Networks. (IEEE 2020)
6. An Efficient Framework for Secure Image Archival and Retrieval System Using Multiple Secret Share Creation Scheme. (IEEE 2020)

II. MATLAB based on ANATOMIZE INFORMATION SYSTEM

1. Representation and Classification of Auroral Images Based on Convolutional Neural Networks. (IEEE 2020)
2. Manuscripts Image Retrieval Using Deep Learning Incorporating a Variety of Fusion Levels. (IEEE 2020)
3. Convolutional Neural Network to Retrieve Water Depth in Marine Shallow Water Area From Remote Sensing Images. (IEEE 2020)
4. Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras. (IEEE 2020)
5. Digital watermarking secure scheme for remote sensing image protection. (IEEE 2020)
6. Efficient Management of Ultrasound Images using Digital Watermarking. (IEEE 2020)
7. Joint Watermarking-Encryption-JPEG-LS for Medical Image Reliability Control in Encrypted and Compressed Domains. (IEEE 2020)
8. Prediction-Based Reversible Watermarking of CT Scan Images for Content Authentication and Copyright Protection. (IEEE 2020)
9. Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things. (IEEE 2020)
10. A Steganography Method Using Neural Networks. (IEEE 2020)
11. A New Convolutional Neural Network-Based Steganalysis Method for Content-Adaptive Image Steganography in the Spatial Domain. (IEEE 2020)
12. An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography. (IEEE 2020)

III. MATLAB based on BIO-AESCULAPIUS IMAGING

1. A PUF-Based Data-Device Hash for Tampered Image Detection and Source Camera Identification. (IEEE 2020)
2. Detection of Spliced Image Forensics Using Texture Analysis of Median Filter Residual. (IEEE 2020)
3. A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection. (IEEE 2020)
4. Forensic Similarity for Digital Images. (IEEE 2020)
5. Deep Learning Based Person Authentication Using Hand Radiographs: A Forensic Approach. (IEEE 2020)
6. Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression. (IEEE 2020)
7. An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection. (IEEE 2020)
8. Multi-Scale Deep Residual Learning-Based Single Image Haze Removal via Image Decomposition. (IEEE 2020)
9. Image Haze Removal Using Airlight White Correction, Local Light Filter, and Aerial Perspective Prior. (IEEE 2020)
10. Smoke detection in ship engine rooms based on video images.(IEEE 2020)
11. Thick Clouds Removal From Multitemporal ZY-3 Satellite Images Using Deep Learning. (IEEE 2020)
12. Region-Based Removal of Thermal Reflection Using Pruned Fully Convolutional Network. (IEEE 2020)
13. An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions. (IEEE 2020)
14. Vertebral Tumor Detection and Segmentation Using Analytical Transform Assisted Statistical Characteristic Decomposition Model. (IEEE 2020)

IV. MATLAB based on E-MAIL & WIRELESS APPLICATION:

1. Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework. (IEEE 2020)
2. Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule. (IEEE 2020)
3. A Secure End-to-End Verifiable Internet-Voting System Using Identity-Based Blind Signature. (IEEE 2020)
4. Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics. (IEEE 2020)

V. MATLAB based on NEURAL NETWORKS

1. A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor. (IEEE 2020)
2. Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder–Decoder Network. (IEEE 2020)
3. Automatic Vehicle License Plate Recognition Using Optimal K-Means With Convolutional Neural Network for Intelligent Transportation Systems. (IEEE 2020)
4. Deep Learning Assisted Predict of Lung Cancer on Computed Tomography Images Using the Adaptive Hierarchical Heuristic Mathematical Model. (IEEE 2020)
5. Automated Complete Blood Cell Count and Malaria Pathogen Detection Using Convolution Neural Network. (IEEE 2020)

VI. MATLAB based on BIO-METRIC RECOGNITION

1. Optimizing Speech Recognition Using a Computational Model of Human Hearing: Effect of Noise Type and Efferent Time Constants. (IEEE 2020)
2. Finger Vein Image Inpainting With Gabor Texture Constraints. (IEEE 2020)
3. Vein Recognition Algorithm Based on Transfer Nonnegative Matrix Factorization. (IEEE 2020)
4. Ensemble of Deep Convolutional Neural Networks With Gabor Face Representations for Face Recognition. (IEEE 2020)
5. Face image recognition based on convolutional neural network. (IEEE 2020)
6. Multi-Perspective Object Detection for Remote Criminal Analysis. (IEEE 2020)
7. Palmprint Recognition in Uncontrolled and Uncooperative Environment. (IEEE 2020)

VII. MATLAB based on H2M COMMUNICATION

1. Using Deep Learning in Infrared Images to Enable Human Gesture Recognition for Autonomous Vehicles. (IEEE 2020)
2. An Imperceptible Medical Image Watermarking Framework for Automated Diagnosis of Retinal Pathologies in an eHealth Arrangement. (IEEE 2020)
3. Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling. (IEEE 2020)
4. A Two-Stage Convolutional Neural Networks for Lung Nodule Detection. (IEEE 2020)
5. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. (IEEE 2020)
6. Design of Automatic Lung Nodule Detection System Based on Multi-Scene Deep Learning Framework. (IEEE 2020)

VIII. MATLAB based on AGRI-MAN MANAGEMENT

1. Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion. (IEEE 2020)
2. Automatic Detection of Plant Rows for a Transplanter in Paddy Field Using Faster RCNN. (IEEE 2020)
3. Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet. (IEEE 2020)
4. Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks. (IEEE 2020)
5. A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification. (IEEE 2020)
6. Recognition of Weeds in Wheat Fields Based on the Fusion of RGB Images and Depth Images. (IEEE 2020)
7. Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing. (IEEE 2020)
8. Frost Monitoring Cyber–Physical System: A Survey on Prediction and Active Protection Methods. (IEEE 2020)

IX. MATLAB based on MACHINE-EYE

1. Joint Watermarking-Encryption-JPEG-LS for Medical Image Reliability Control in Encrypted and Compressed Domains. (IEEE 2020)
2. Prediction-Based Reversible Watermarking of CT Scan Images for Content Authentication and Copyright Protection. (IEEE 2020)
3. Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. (IEEE 2020)
4. A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion. (IEEE 2020)
5. Towards Real-Time Eyeblink Detection in the Wild: Dataset, Theory and Practices. (IEEE 2020)

X. MATLAB based on AURAL PROCESSING

1. Speech Enhancement Parameter Adjustment to Maximize Accuracy of Automatic Speech Recognition. (IEEE 2020)
2. Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM. (IEEE 2020)
3. RFPS: A Robust Feature Points Detection of Audio Watermarking for Against Desynchronization Attacks in Cyber Security. (IEEE 2020)

XI. MATLAB based on VIDEO PROCESSING

1. Comprehensive Drowsiness Level Detection Model Combining Multimodal Information. (IEEE 2020)
2. Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges. (IEEE 2020)
3. Cloud-Based Driver Monitoring System Using a Smartphone. (IEEE 2020)
4. Joint Transmission Map Estimation and Dehazing Using Deep Networks. (IEEE 2020)
5. High-Definition Video Compression System Based on Perception Guidance of Salient Information of a Convolutional Neural Network and HEVC Compression Domain. (IEEE 2020)
6. Fire Detection and Recognition Optimization Based on Virtual Reality Video Image. (IEEE 2020)
7. Information-Guided Flame Detection Based on Faster R-CNN. (IEEE 2020)
8. Smoke detection in ship engine rooms based on video images. (IEEE 2020)
9. Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition. (IEEE 2020)
10. An Efficient Commutative Encryption and Data Hiding Scheme for HEVC Video. (IEEE 2020)

XII. MATLAB based on STRUCTURE DESIGN AND MONITORING

1. Detection of Surface Breaking Cracks Filled With Solid Impurities. (IEEE 2020)
2. Pavement crack detection network based on pyramid structure and attention mechanism. (IEEE 2020)

XIII. MATLAB based on IMAGE ENHANCEMENT

1. Object Tracking Algorithm Based on Adaptive Detection. (IEEE 2020)
2. Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks. (IEEE 2020)
3. Effective object proposals: size prediction for pedestrian detection in surveillance videos. (IEEE 2020)
4. Accurate Pedestrian Detection by Human Pose Regression. (IEEE 2020)
5. Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks. (IEEE 2020)
6. Color Image Compression and Transmission With Bit-Error Awareness. (IEEE 2020)
7. A Motion Deblur Method Based on Multi-Scale High Frequency Residual Image Learning. (IEEE 2020)
8. Blind Deblurring of Text Images Using a Text-Specific Hybrid Dictionary. (IEEE 2020)
9. Convolutional Deblurring for Natural Imaging. (IEEE 2020)

XIV. MATLAB based on HEALTH

1. Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning. (IEEE 2020)
2. Retrospective DVH analysis of point A based intracavitary brachytherapy for uterine cervical cancer. (IEEE 2020)
3. Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features. (IEEE 2020)
4. Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. (IEEE 2020)
5. Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network. (IEEE 2020)
6. Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks. (IEEE 2020)
7. Counting and Classification of Malarial Parasite From Giemsa-Stained Thin Film Images. (IEEE 2020)

XV. MATLAB based on HEALTH

1. Real-Time Detection Method for Small Traffic Signs Based on Yolov3. (IEEE 2020)
2. Detecting abnormal events in traffic video surveillance using superorientation optical flow feature. (IEEE 2020)
3. Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features. (IEEE 2020)
4. Mixed Vertical-and-Horizontal-Text Traffic Sign Detection and Recognition for StreetLevel Scene. (IEEE 2020)

XVI. MATLAB based on GREEN-IOT

1. Deep Learning-Based Object Detection Improvement for Tomato Disease. (IEEE 2020)
2. An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature. (IEEE 2020)
3. Crop Leaf Disease Image Super-Resolution and Identification With Dual Attention and Topology Fusion Generative Adversarial Network. (IEEE 2020)

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