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Project Code: TCMAPY2621
Project Title:SAR Target Classification Enhancement via Synthetic Defocused Image Augmentation Using Kinematic Motion ModelingView DetailsProject Code: TCMAPY2620
Project Title:EASA-YOLO Edge-Aware Spatial Attention Enhanced YOLO for Automated Glass Insulator Defect Detection and DeploymentView DetailsProject Code: TCMAPY2619
Project Title:Deep Learning-Based Glaucoma Screening System Using Smartphone-Captured Fundus Images with Multi-Scale Transformer and Dual-Stream Multi-Task Learning ArchitecturesView DetailsProject Code: TCMAPY2618
Project Title:AeroTassel-Detect: A UAV-Based Deep Learning Framework for Detecting and Geolocating Missed Tassels in Hybrid Maize Seed ProductionView DetailsProject Code: TCMAPY2622
Project Title:Enhanced Camouflaged Object Segmentation Using EdgeCamoNet and CamoMamba-FPN with Dual Attention Feature FusionView DetailsProject Code: TCMAPY2617
Project Title:SegS-YOLO A YOLO-Based Instance Segmentation Approach for Small-Scale Ship Targets in SAR ImagesView DetailsProject Code: TCMAPY2616
Project Title:A Novel Deep Learning Analysis in Detecting Urban Flood Objects for Faster Rescue OperationsView DetailsProject Code: TCMAPY2615
Project Title:RSO-YOLO Traffic Sign Detection Method Based on Reparameterization and Shallow Feature EnhancementView DetailsProject Code: TCMAPY2614
Project Title:FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and Classification of Non-Dermoscopic Skin Lesions via Focal Modulation and Local Feature IntegrationView DetailsProject Code: TCMAPY2613
Project Title:Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation From SAR ImagesView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2621 | SAR Target Classification Enhancement via Synthetic Defocused Image Au... | |
| 2 | TCMAPY2620 | EASA-YOLO Edge-Aware Spatial Attention Enhanced YOLO for Automated Gla... | |
| 3 | TCMAPY2619 | Deep Learning-Based Glaucoma Screening System Using Smartphone-Capture... | |
| 4 | TCMAPY2618 | AeroTassel-Detect: A UAV-Based Deep Learning Framework for Detecting a... | |
| 5 | TCMAPY2622 | Enhanced Camouflaged Object Segmentation Using EdgeCamoNet and CamoMam... | |
| 6 | TCMAPY2617 | SegS-YOLO A YOLO-Based Instance Segmentation Approach for Small-Scale ... | |
| 7 | TCMAPY2616 | A Novel Deep Learning Analysis in Detecting Urban Flood Objects for Fa... | |
| 8 | TCMAPY2615 | RSO-YOLO Traffic Sign Detection Method Based on Reparameterization and... | |
| 9 | TCMAPY2614 | FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and... | |
| 10 | TCMAPY2613 | Adversarial Robustness of Deep Learning Models for Inland Water Body S... |
Project Code: TCMAPY2621
Project Title:SAR Target Classification Enhancement via Synthetic Defocused Image Augmentation Using Kinematic Motion ModelingView DetailsProject Code: TCMAPY2620
Project Title:EASA-YOLO Edge-Aware Spatial Attention Enhanced YOLO for Automated Glass Insulator Defect Detection and DeploymentView DetailsProject Code: TCMAPY2619
Project Title:Deep Learning-Based Glaucoma Screening System Using Smartphone-Captured Fundus Images with Multi-Scale Transformer and Dual-Stream Multi-Task Learning ArchitecturesView DetailsProject Code: TCMAPY2618
Project Title:AeroTassel-Detect: A UAV-Based Deep Learning Framework for Detecting and Geolocating Missed Tassels in Hybrid Maize Seed ProductionView DetailsProject Code: TCMAPY2622
Project Title:Enhanced Camouflaged Object Segmentation Using EdgeCamoNet and CamoMamba-FPN with Dual Attention Feature FusionView DetailsProject Code: TCMAPY2617
Project Title:SegS-YOLO A YOLO-Based Instance Segmentation Approach for Small-Scale Ship Targets in SAR ImagesView DetailsProject Code: TCMAPY2616
Project Title:A Novel Deep Learning Analysis in Detecting Urban Flood Objects for Faster Rescue OperationsView DetailsProject Code: TCMAPY2615
Project Title:RSO-YOLO Traffic Sign Detection Method Based on Reparameterization and Shallow Feature EnhancementView DetailsProject Code: TCMAPY2614
Project Title:FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and Classification of Non-Dermoscopic Skin Lesions via Focal Modulation and Local Feature IntegrationView DetailsProject Code: TCMAPY2613
Project Title:Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation From SAR ImagesView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2621 | SAR Target Classification Enhancement via Synthetic Defocused Image Au... | |
| 2 | TCMAPY2620 | EASA-YOLO Edge-Aware Spatial Attention Enhanced YOLO for Automated Gla... | |
| 3 | TCMAPY2619 | Deep Learning-Based Glaucoma Screening System Using Smartphone-Capture... | |
| 4 | TCMAPY2618 | AeroTassel-Detect: A UAV-Based Deep Learning Framework for Detecting a... | |
| 5 | TCMAPY2622 | Enhanced Camouflaged Object Segmentation Using EdgeCamoNet and CamoMam... | |
| 6 | TCMAPY2617 | SegS-YOLO A YOLO-Based Instance Segmentation Approach for Small-Scale ... | |
| 7 | TCMAPY2616 | A Novel Deep Learning Analysis in Detecting Urban Flood Objects for Fa... | |
| 8 | TCMAPY2615 | RSO-YOLO Traffic Sign Detection Method Based on Reparameterization and... | |
| 9 | TCMAPY2614 | FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and... | |
| 10 | TCMAPY2613 | Adversarial Robustness of Deep Learning Models for Inland Water Body S... |
Project Code: TCMAPY2621
Project Title:SAR Target Classification Enhancement via Synthetic Defocused Image Augmentation Using Kinematic Motion ModelingView DetailsProject Code: TCMAPY2620
Project Title:EASA-YOLO Edge-Aware Spatial Attention Enhanced YOLO for Automated Glass Insulator Defect Detection and DeploymentView DetailsProject Code: TCMAPY2619
Project Title:Deep Learning-Based Glaucoma Screening System Using Smartphone-Captured Fundus Images with Multi-Scale Transformer and Dual-Stream Multi-Task Learning ArchitecturesView DetailsProject Code: TCMAPY2618
Project Title:AeroTassel-Detect: A UAV-Based Deep Learning Framework for Detecting and Geolocating Missed Tassels in Hybrid Maize Seed ProductionView DetailsProject Code: TCMAPY2622
Project Title:Enhanced Camouflaged Object Segmentation Using EdgeCamoNet and CamoMamba-FPN with Dual Attention Feature FusionView DetailsProject Code: TCMAPY2617
Project Title:SegS-YOLO A YOLO-Based Instance Segmentation Approach for Small-Scale Ship Targets in SAR ImagesView DetailsProject Code: TCMAPY2616
Project Title:A Novel Deep Learning Analysis in Detecting Urban Flood Objects for Faster Rescue OperationsView DetailsProject Code: TCMAPY2615
Project Title:RSO-YOLO Traffic Sign Detection Method Based on Reparameterization and Shallow Feature EnhancementView DetailsProject Code: TCMAPY2614
Project Title:FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and Classification of Non-Dermoscopic Skin Lesions via Focal Modulation and Local Feature IntegrationView DetailsProject Code: TCMAPY2613
Project Title:Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation From SAR ImagesView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY2621 | SAR Target Classification Enhancement via Synthetic Defocused Image Au... | |
| 2 | TCMAPY2620 | EASA-YOLO Edge-Aware Spatial Attention Enhanced YOLO for Automated Gla... | |
| 3 | TCMAPY2619 | Deep Learning-Based Glaucoma Screening System Using Smartphone-Capture... | |
| 4 | TCMAPY2618 | AeroTassel-Detect: A UAV-Based Deep Learning Framework for Detecting a... | |
| 5 | TCMAPY2622 | Enhanced Camouflaged Object Segmentation Using EdgeCamoNet and CamoMam... | |
| 6 | TCMAPY2617 | SegS-YOLO A YOLO-Based Instance Segmentation Approach for Small-Scale ... | |
| 7 | TCMAPY2616 | A Novel Deep Learning Analysis in Detecting Urban Flood Objects for Fa... | |
| 8 | TCMAPY2615 | RSO-YOLO Traffic Sign Detection Method Based on Reparameterization and... | |
| 9 | TCMAPY2614 | FoMoSkinNet: A Dual-Stream Deep Learning Model for Early Detection and... | |
| 10 | TCMAPY2613 | Adversarial Robustness of Deep Learning Models for Inland Water Body S... |
Related Projects
Use Takeoff Projects to unleash your Python project power. The variety of our projects can be classified into five major categories of Python applications: data analysis, web applications, automation, artificial intelligence. Every idea includes the source code, explanation, completed project, and implementation of projects that will develop the particular skill and generate remarkable solutions. Takeoff Projects is useful whether you are new to programming and ready to begin your coding preliminaries or if you are a professional coder who seeks to solve sophisticated problems. Explore now the specially selected assortment of products and translate your ideas into Python projects at the blink of an eye!
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