Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Sujatha, R.; Aarthy, S. L.; Vettriselvan, R.

Taylor & Francis Ltd

10/2024

204

Mole

9781032104461

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. A Study on Big Data and Arti?cial Intelligence Techniques in Agricultural Sector 2. Deep Learning Models for Object Detection in Self-Driven Cars 3. Deep Learning for Analyzing the Data on Object Detection and Recognition 4. Emerging Applications of Deep Learning 5. Emerging Trend and Research Issues in Deep Learning with Cloud Computing 6. An Investigation of Deep Learning 7. A Study and Comparative Analysis of Various Use Cases of NLP Using Sequential Transfer Learning Techniques 8. Deep Learning for Medical Dataset Classi?cation Based on Convolutional Neural Networks 9. Deep Learning in Medical Image Classi?cation 10 A Comparative Review of the Role of Deep Learning in Medical Image Processing
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Communications;Distributed Computing;Data Storage;Data Tagging;IoT Based Systems;Parallel Computing;DBN;Deep Learning Models;Convolutional Layers;DCNN;RNN;Dl;Dl Method;High Resolution Medical Images;SAEs;Object Detection;DRL.;Deep Neural Networks;BB.;Dl Model;Deep Learning Algorithms;Diabetic Retinopathy;Pooling Layer;Softmax Layer;Execution Time;Tumor Mutation Burden;NLP Task;Self-driven Cars;Mri Volume;Crop Yield Prediction;RBM.