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{ "item_title" : "Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing", "item_author" : [" Lopa Mandal", "Joao Manuel R. S. Tavares", "Valentina E. Balas "], "item_description" : "AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones.- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.- Feature Extraction and Machine Learning for the Classification of Fashion Materials.- Cardamom Quality Evaluation Employing Electronic Nose.- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays.- Analytical Study on Feature Selection for Big Data using Optimization Algorithms.- A Machine Learning Approach for Predicting the Death Time and Mortality.- Prediction of Crops Production Using Random Forest Regression.- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance.- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/191/656/981191656X_b.jpg", "price_data" : { "retail_price" : "299.99", "online_price" : "299.99", "our_price" : "299.99", "club_price" : "299.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing|Lopa Mandal

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing : Iem-ICDC 2021

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Overview

AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones.- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.- Feature Extraction and Machine Learning for the Classification of Fashion Materials.- Cardamom Quality Evaluation Employing Electronic Nose.- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays.- Analytical Study on Feature Selection for Big Data using Optimization Algorithms.- A Machine Learning Approach for Predicting the Death Time and Mortality.- Prediction of Crops Production Using Random Forest Regression.- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance.- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.

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Details

  • ISBN-13: 9789811916564
  • ISBN-10: 981191656X
  • Publisher: Springer
  • Publish Date: August 2022
  • Dimensions: 9.21 x 6.14 x 1.06 inches
  • Shipping Weight: 1.91 pounds
  • Page Count: 476

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