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: TMMACO146
Project Title:Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G NetworkView DetailsProject Code: TMMAAI367
Project Title:Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView DetailsProject Code: TMMASP204
Project Title:Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two Wavelet-Based Denoising AlgorithmsView DetailsProject Code: TMMAAI361
Project Title:Artificial Intelligence Techniques for Landslides Prediction Using Satellite Imagery.View DetailsProject Code: TMMAAI344
Project Title:Convolutional Neural Network Image Classification Based on Different Color SpacesView DetailsProject Code: TMMAAI343
Project Title:A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance SystemsView DetailsProject Code: TMMAIP441
Project Title:Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance FilterView DetailsProject Code: TMMAIP440
Project Title:Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance FilterView DetailsProject Code: TMMAAI348
Project Title:Automated Tool Support for Glaucoma Identification with Explainability Using Fundus ImagesView DetailsProject Code: TMMAAI347
Project Title:Optimized Brain Tumor Detection a Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMACO146 | Bandwidth Allocation and Power Control Optimization for Multi-UAVs Ena... | |
2 | TMMAAI367 | Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image ... | |
3 | TMMASP204 | Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two ... | |
4 | TMMAAI361 | Artificial Intelligence Techniques for Landslides Prediction Using Sat... | |
5 | TMMAAI344 | Convolutional Neural Network Image Classification Based on Different C... | |
6 | TMMAAI343 | A Novel Framework for Vehicle Detection and Tracking in Night Ware Sur... | |
7 | TMMAIP441 | Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Br... | |
8 | TMMAIP440 | Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Br... | |
9 | TMMAAI348 | Automated Tool Support for Glaucoma Identification with Explainability... | |
10 | TMMAAI347 | Optimized Brain Tumor Detection a Dual-Module Approach for MRI Image E... |
Project Code: TMMACO146
Project Title:Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G NetworkView DetailsProject Code: TMMAAI367
Project Title:Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView DetailsProject Code: TMMASP204
Project Title:Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two Wavelet-Based Denoising AlgorithmsView DetailsProject Code: TMMAAI361
Project Title:Artificial Intelligence Techniques for Landslides Prediction Using Satellite Imagery.View DetailsProject Code: TMMAAI344
Project Title:Convolutional Neural Network Image Classification Based on Different Color SpacesView DetailsProject Code: TMMAAI343
Project Title:A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance SystemsView DetailsProject Code: TMMAIP441
Project Title:Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance FilterView DetailsProject Code: TMMAIP440
Project Title:Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance FilterView DetailsProject Code: TMMAAI348
Project Title:Automated Tool Support for Glaucoma Identification with Explainability Using Fundus ImagesView DetailsProject Code: TMMAAI347
Project Title:Optimized Brain Tumor Detection a Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMACO146 | Bandwidth Allocation and Power Control Optimization for Multi-UAVs Ena... | |
2 | TMMAAI367 | Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image ... | |
3 | TMMASP204 | Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two ... | |
4 | TMMAAI361 | Artificial Intelligence Techniques for Landslides Prediction Using Sat... | |
5 | TMMAAI344 | Convolutional Neural Network Image Classification Based on Different C... | |
6 | TMMAAI343 | A Novel Framework for Vehicle Detection and Tracking in Night Ware Sur... | |
7 | TMMAIP441 | Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Br... | |
8 | TMMAIP440 | Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Br... | |
9 | TMMAAI348 | Automated Tool Support for Glaucoma Identification with Explainability... | |
10 | TMMAAI347 | Optimized Brain Tumor Detection a Dual-Module Approach for MRI Image E... |
Project Code: TMMACO146
Project Title:Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G NetworkView DetailsProject Code: TMMAAI367
Project Title:Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView DetailsProject Code: TMMASP204
Project Title:Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two Wavelet-Based Denoising AlgorithmsView DetailsProject Code: TMMAAI361
Project Title:Artificial Intelligence Techniques for Landslides Prediction Using Satellite Imagery.View DetailsProject Code: TMMAAI344
Project Title:Convolutional Neural Network Image Classification Based on Different Color SpacesView DetailsProject Code: TMMAAI343
Project Title:A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance SystemsView DetailsProject Code: TMMAIP441
Project Title:Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance FilterView DetailsProject Code: TMMAIP440
Project Title:Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance FilterView DetailsProject Code: TMMAAI348
Project Title:Automated Tool Support for Glaucoma Identification with Explainability Using Fundus ImagesView DetailsProject Code: TMMAAI347
Project Title:Optimized Brain Tumor Detection a Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMACO146 | Bandwidth Allocation and Power Control Optimization for Multi-UAVs Ena... | |
2 | TMMAAI367 | Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image ... | |
3 | TMMASP204 | Extracting Fetal ECG Signals Through a Hybrid Technique Utilizing Two ... | |
4 | TMMAAI361 | Artificial Intelligence Techniques for Landslides Prediction Using Sat... | |
5 | TMMAAI344 | Convolutional Neural Network Image Classification Based on Different C... | |
6 | TMMAAI343 | A Novel Framework for Vehicle Detection and Tracking in Night Ware Sur... | |
7 | TMMAIP441 | Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Br... | |
8 | TMMAIP440 | Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Br... | |
9 | TMMAAI348 | Automated Tool Support for Glaucoma Identification with Explainability... | |
10 | TMMAAI347 | Optimized Brain Tumor Detection a Dual-Module Approach for MRI Image E... |
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.