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{ "item_title" : "Methods and Applications of Deep and Machine Learning Models including GAN", "item_author" : [" Mainak Biswas "], "item_description" : "This book offers a rich compilation of cutting-edge research showcasing the transformative power of deep learning and machine learning in addressing real-world challenges. From enhancing medical diagnostics and precision agriculture to improving image resolution and sentiment analysis, each chapter blends theoretical depth with practical relevance. Featuring advanced neural architectures-including GANs, transformers, attention modules, and hybrid models-the volume covers topics such as URGAN-based image enhancement, pneumonia detection using a fusion of EfficientNetV2, CBAM, BreastNet, and ViT, transformer-driven crop disease diagnosis, sentiment stratification, and geospectral weather forecasting via recursive networks. Authored by researchers from Kalinga Institute of Industrial Technology and partner institutions, this work serves as a valuable resource for scholars, practitioners, and students aiming to harness AI for impactful solutions.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/99/932/934/9999329349_b.jpg", "price_data" : { "retail_price" : "49.50", "online_price" : "49.50", "our_price" : "49.50", "club_price" : "49.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Methods and Applications of Deep and Machine Learning Models including GAN|Mainak Biswas

Methods and Applications of Deep and Machine Learning Models including GAN

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Overview

This book offers a rich compilation of cutting-edge research showcasing the transformative power of deep learning and machine learning in addressing real-world challenges. From enhancing medical diagnostics and precision agriculture to improving image resolution and sentiment analysis, each chapter blends theoretical depth with practical relevance. Featuring advanced neural architectures-including GANs, transformers, attention modules, and hybrid models-the volume covers topics such as URGAN-based image enhancement, pneumonia detection using a fusion of EfficientNetV2, CBAM, BreastNet, and ViT, transformer-driven crop disease diagnosis, sentiment stratification, and geospectral weather forecasting via recursive networks. Authored by researchers from Kalinga Institute of Industrial Technology and partner institutions, this work serves as a valuable resource for scholars, practitioners, and students aiming to harness AI for impactful solutions.

This item is Non-Returnable

Details

  • ISBN-13: 9789999329347
  • ISBN-10: 9999329349
  • Publisher: Eliva Press
  • Publish Date: December 2025
  • Dimensions: 9 x 6 x 0.2 inches
  • Shipping Weight: 0.31 pounds
  • Page Count: 98

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