{
"item_title" : "Computational Intelligence and Machine Learning",
"item_author" : [" Jyotsna Kumar Mandal", "Imon Mukherjee", "Sambit Bakshi "],
"item_description" : "Minutiae Points Extraction using Faster R-CNN.- Genetic Algorithm based Optimization of Clustering Data Points by Propagating Probabilities.- Detection of Malaria Parasites in Thin Blood Smears using CNN Based Approach.- A Deep Learning Approach for Predicting Air Pollution in Smart Cities.- Structural Design of Convolutional Neural Network based Steganalysis.- Sarcasm Detection of Media Text using Deep Neural Networks.- Sentiment Analysis Using Twitter.- A Type-Specific Attention Model for Fine Grained Entity Type Classification.- A Two Phase Approach using LDA for Effective Domain Specific Tweets Conveying Sentiments.- News Background Linking using Document Similarity Techniques.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/158/609/9811586098_b.jpg",
"price_data" : {
"retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Computational Intelligence and Machine Learning : Proceedings of the 7th International Conference on Advanced Computing, Networking, and Informatics (I
Overview
Minutiae Points Extraction using Faster R-CNN.- Genetic Algorithm based Optimization of Clustering Data Points by Propagating Probabilities.- Detection of Malaria Parasites in Thin Blood Smears using CNN Based Approach.- A Deep Learning Approach for Predicting Air Pollution in Smart Cities.- Structural Design of Convolutional Neural Network based Steganalysis.- Sarcasm Detection of Media Text using Deep Neural Networks.- Sentiment Analysis Using Twitter.- A Type-Specific Attention Model for Fine Grained Entity Type Classification.- A Two Phase Approach using LDA for Effective Domain Specific Tweets Conveying Sentiments.- News Background Linking using Document Similarity Techniques.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9789811586095
- ISBN-10: 9811586098
- Publisher: Springer
- Publish Date: November 2020
- Dimensions: 9.21 x 6.14 x 0.45 inches
- Shipping Weight: 0.67 pounds
- Page Count: 200
Related Categories
