Matlab Projects for ECE
At Takeoff Projects, we provide a large number of MATLAB projects for ECE students to their sensible ability and technical skills. Our tasks encompass real time simulations, information analysis, and algorithm development, permitting students to use theoretical ideas to actual worldwide programs. With certain documentation Takeoff Projects guarantees college students gain a entire statistics of MATLAB and its packages in electronics and communication engineering.
Project Code: TMMACO182
Project Title:Toward Deployable Multi-Timescale Beamforming for Mobile and Time-Sensitive mm Wave MIMO NetworksView DetailsProject Code: TMMACO181
Project Title:MACHINE LEARNING-ENHANCED RIS PHASE OPTIMIZATION USING SVD-BASED INITIALIZATION AND MOMENTUM GRADIENT DESCENT IN 6GView DetailsProject Code: TMMACO180
Project Title:SVM-Based Enhanced Spectrum Prediction Model for Cognitive Radio NetworksView DetailsProject Code: TMMAIP476
Project Title:VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning ModelsView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP471
Project Title:Enhancing Hybrid Classification for Plant Diseases with Deep Feature Selection Based on Analytical Entropy and Statistical MethodView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMACO182 | Toward Deployable Multi-Timescale Beamforming for Mobile and Time-Sens... | |
| 2 | TMMACO181 | MACHINE LEARNING-ENHANCED RIS PHASE OPTIMIZATION USING SVD-BASED INITI... | |
| 3 | TMMACO180 | SVM-Based Enhanced Spectrum Prediction Model for Cognitive Radio Netwo... | |
| 4 | TMMAIP476 | VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNet... | |
| 5 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 6 | TMMAIP474 | Bone Age Estimation from Hand X-ray Images | |
| 7 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 8 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 9 | TMMAIP471 | Enhancing Hybrid Classification for Plant Diseases with Deep Feature S... | |
| 10 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... |
Project Code: TMMACO182
Project Title:Toward Deployable Multi-Timescale Beamforming for Mobile and Time-Sensitive mm Wave MIMO NetworksView DetailsProject Code: TMMACO181
Project Title:MACHINE LEARNING-ENHANCED RIS PHASE OPTIMIZATION USING SVD-BASED INITIALIZATION AND MOMENTUM GRADIENT DESCENT IN 6GView DetailsProject Code: TMMACO180
Project Title:SVM-Based Enhanced Spectrum Prediction Model for Cognitive Radio NetworksView DetailsProject Code: TMMAIP476
Project Title:VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning ModelsView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP471
Project Title:Enhancing Hybrid Classification for Plant Diseases with Deep Feature Selection Based on Analytical Entropy and Statistical MethodView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMACO182 | Toward Deployable Multi-Timescale Beamforming for Mobile and Time-Sens... | |
| 2 | TMMACO181 | MACHINE LEARNING-ENHANCED RIS PHASE OPTIMIZATION USING SVD-BASED INITI... | |
| 3 | TMMACO180 | SVM-Based Enhanced Spectrum Prediction Model for Cognitive Radio Netwo... | |
| 4 | TMMAIP476 | VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNet... | |
| 5 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 6 | TMMAIP474 | Bone Age Estimation from Hand X-ray Images | |
| 7 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 8 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 9 | TMMAIP471 | Enhancing Hybrid Classification for Plant Diseases with Deep Feature S... | |
| 10 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... |
Project Code: TMMACO182
Project Title:Toward Deployable Multi-Timescale Beamforming for Mobile and Time-Sensitive mm Wave MIMO NetworksView DetailsProject Code: TMMACO181
Project Title:MACHINE LEARNING-ENHANCED RIS PHASE OPTIMIZATION USING SVD-BASED INITIALIZATION AND MOMENTUM GRADIENT DESCENT IN 6GView DetailsProject Code: TMMACO180
Project Title:SVM-Based Enhanced Spectrum Prediction Model for Cognitive Radio NetworksView DetailsProject Code: TMMAIP476
Project Title:VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning ModelsView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP471
Project Title:Enhancing Hybrid Classification for Plant Diseases with Deep Feature Selection Based on Analytical Entropy and Statistical MethodView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMACO182 | Toward Deployable Multi-Timescale Beamforming for Mobile and Time-Sens... | |
| 2 | TMMACO181 | MACHINE LEARNING-ENHANCED RIS PHASE OPTIMIZATION USING SVD-BASED INITI... | |
| 3 | TMMACO180 | SVM-Based Enhanced Spectrum Prediction Model for Cognitive Radio Netwo... | |
| 4 | TMMAIP476 | VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNet... | |
| 5 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 6 | TMMAIP474 | Bone Age Estimation from Hand X-ray Images | |
| 7 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 8 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 9 | TMMAIP471 | Enhancing Hybrid Classification for Plant Diseases with Deep Feature S... | |
| 10 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... |
Takeoff Projects ensures that each project is carefully built, offering priceless insights and practical solutions. Join the Takeoff Edu Group to benefit from in depth study guides, focused challenge documentation, and professional mentoring. With our specially created MATLAB initiatives, you may strengthen your skills, add value to your resume, and make a name for yourself in the competitive field of electronics and communication engineering.
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
