Takeoff
Projects specifically focuses on artificial neural network projects that
encompass development and training of Artificial Neural Networks, planning
involved in developing a neural network, along with the training process. ANNs
are highly effective in handling hard computational tasks that define some
fields such as image recognition, data classification, and more. In Takeoff
Projects, we are able to create and also fine tune artificial neural networks
which gives it efficient results in its assigned functions including pattern
analysis part, language understanding system, an also decision making systems.
This guarantees that your Artificial Neural Networks projects are developed
with precision to suit the purpose of your research or industry need.
Project Code: TMMAAI345
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAAI341
Project Title:A Novel Transfer Learning Approach for Detection of Pomegranates Growth StagesView DetailsProject Code: TMMAAI338
Project Title:Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture FeaturesView DetailsProject Code: TMMAAI316
Project Title:LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image ProcessingView DetailsProject Code: TMMAAI291
Project Title:Detecting Brain Tumor by Using Machine Learning and Image Processing TechniquesView DetailsProject Code: TMMAAI288
Project Title:Bone Cancer Identification and Separation Using K - Means and KNN ClassifiersView DetailsProject Code: TMMAAI285
Project Title:ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER DETECTIONView DetailsProject Code: TMMAAI284
Project Title:BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNINGView DetailsProject Code: TMMAAI282
Project Title:Fake Currency Detection with Machine Learning Algorithm and Image ProcessingView DetailsProject Code: TMMAAI279
Project Title:Breast Cancer Recognizable Proof, Classification and Discovery Utilizing Neural NetworksView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMAAI345 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
2 | TMMAAI341 | A Novel Transfer Learning Approach for Detection of Pomegranates Growt... | |
3 | TMMAAI338 | Pipelined Structure in the Classification of Skin Lesions Based on Ale... | |
4 | TMMAAI316 | LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine L... | |
5 | TMMAAI291 | Detecting Brain Tumor by Using Machine Learning and Image Processing T... | |
6 | TMMAAI288 | Bone Cancer Identification and Separation Using K - Means and KNN Clas... | |
7 | TMMAAI285 | ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER D... | |
8 | TMMAAI284 | BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNING | |
9 | TMMAAI282 | Fake Currency Detection with Machine Learning Algorithm and Image Proc... | |
10 | TMMAAI279 | Breast Cancer Recognizable Proof, Classification and Discovery Utilizi... |
Project Code: TMMAAI345
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAAI341
Project Title:A Novel Transfer Learning Approach for Detection of Pomegranates Growth StagesView DetailsProject Code: TMMAAI338
Project Title:Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture FeaturesView DetailsProject Code: TMMAAI316
Project Title:LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image ProcessingView DetailsProject Code: TMMAAI291
Project Title:Detecting Brain Tumor by Using Machine Learning and Image Processing TechniquesView DetailsProject Code: TMMAAI288
Project Title:Bone Cancer Identification and Separation Using K - Means and KNN ClassifiersView DetailsProject Code: TMMAAI285
Project Title:ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER DETECTIONView DetailsProject Code: TMMAAI284
Project Title:BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNINGView DetailsProject Code: TMMAAI282
Project Title:Fake Currency Detection with Machine Learning Algorithm and Image ProcessingView DetailsProject Code: TMMAAI279
Project Title:Breast Cancer Recognizable Proof, Classification and Discovery Utilizing Neural NetworksView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMAAI345 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
2 | TMMAAI341 | A Novel Transfer Learning Approach for Detection of Pomegranates Growt... | |
3 | TMMAAI338 | Pipelined Structure in the Classification of Skin Lesions Based on Ale... | |
4 | TMMAAI316 | LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine L... | |
5 | TMMAAI291 | Detecting Brain Tumor by Using Machine Learning and Image Processing T... | |
6 | TMMAAI288 | Bone Cancer Identification and Separation Using K - Means and KNN Clas... | |
7 | TMMAAI285 | ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER D... | |
8 | TMMAAI284 | BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNING | |
9 | TMMAAI282 | Fake Currency Detection with Machine Learning Algorithm and Image Proc... | |
10 | TMMAAI279 | Breast Cancer Recognizable Proof, Classification and Discovery Utilizi... |
Project Code: TMMAAI345
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAAI341
Project Title:A Novel Transfer Learning Approach for Detection of Pomegranates Growth StagesView DetailsProject Code: TMMAAI338
Project Title:Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture FeaturesView DetailsProject Code: TMMAAI316
Project Title:LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image ProcessingView DetailsProject Code: TMMAAI291
Project Title:Detecting Brain Tumor by Using Machine Learning and Image Processing TechniquesView DetailsProject Code: TMMAAI288
Project Title:Bone Cancer Identification and Separation Using K - Means and KNN ClassifiersView DetailsProject Code: TMMAAI285
Project Title:ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER DETECTIONView DetailsProject Code: TMMAAI284
Project Title:BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNINGView DetailsProject Code: TMMAAI282
Project Title:Fake Currency Detection with Machine Learning Algorithm and Image ProcessingView DetailsProject Code: TMMAAI279
Project Title:Breast Cancer Recognizable Proof, Classification and Discovery Utilizing Neural NetworksView Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TMMAAI345 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
2 | TMMAAI341 | A Novel Transfer Learning Approach for Detection of Pomegranates Growt... | |
3 | TMMAAI338 | Pipelined Structure in the Classification of Skin Lesions Based on Ale... | |
4 | TMMAAI316 | LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine L... | |
5 | TMMAAI291 | Detecting Brain Tumor by Using Machine Learning and Image Processing T... | |
6 | TMMAAI288 | Bone Cancer Identification and Separation Using K - Means and KNN Clas... | |
7 | TMMAAI285 | ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER D... | |
8 | TMMAAI284 | BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNING | |
9 | TMMAAI282 | Fake Currency Detection with Machine Learning Algorithm and Image Proc... | |
10 | TMMAAI279 | Breast Cancer Recognizable Proof, Classification and Discovery Utilizi... |
Takeoff Edu Group is designed to provide necessary support and experience to avail the students to work on artificial neural network (ANN) projects efficiently. The types of offered courses feature relatively simple introduction to the architectures of neural networks and advanced training algorithms. The hands on projects, personal coaching, and practical solutions used by Takeoff Edu Group enable students to gain practical experience in constructing neural networks and improving upon them. Ideas are valuable wherever you are pursuing a class assignment, or carrying out a research our support hence helps learners build the much needed confidence and proficiency to navigate this fast growing discipline of artificial intelligence.