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Proceedings of Fifth International Conference on Computer and Communication Technologies

Overview of attention for book
Cover of 'Proceedings of Fifth International Conference on Computer and Communication Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Square Shaped SIW Based Slotted MIMO Antenna
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    Chapter 2 Food Recognition and Calorie Measurement Using Machine Learning
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    Chapter 3 Breast Cancer Prediction with Gradient Boost and XGBoost
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    Chapter 4 Data Cube Technology for Accessing of Large Database
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    Chapter 5 Handwritten Character Recognition for South Indian Languages Using Deep Learning
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    Chapter 6 CavFind: A Novel Algorithm to Detect Cavities on Protein Structure
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    Chapter 7 Tire Imprint Identification and Classification using VGG19
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    Chapter 8 Uncovering Insights in Agroforestry: A Text Mining Analysis Using Web Scraping and Topic Modeling
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    Chapter 9 Generative Adversarial Networks: A Comprehensive Review
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    Chapter 10 System Modification Process to Reduce Calculation Complexity in Backward Forward Sweep Algorithm
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    Chapter 11 Exploit Reversible Gates to Implement Fast Quantum Sorting Algorithm
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    Chapter 12 Analyzing the Performance Variations of Naive Bayes, Linear SVM, and Random Forest for Spam Detection: A Comprehensive Study on the &Quot; Spam or Ham" Dataset
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    Chapter 13 A Novel Encryption Framework to Improve the Security of Medical Images
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    Chapter 14 Enhancing DDoS Attack Detection in SDN: A Novel Approach with IG-RFFI Feature Selection
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    Chapter 15 A Novel Fusion Study on Disease Detection in Cotton Plants Using Embedded Approaches of Neural Networks
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    Chapter 16 A Security Framework for the Detection of Targeted Attacks Using Honeypot
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    Chapter 17 SNMP Watcher: A Model to Detect DoS and DDoS Attacks Using SNMP Management Information Base Analysis
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    Chapter 18 Comparative Analysis for Loan Approval Prediction System Using Machine Learning Algorithms
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    Chapter 19 Classification of Credit Card Delinquent Customers Using Random Forest Algorithm
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    Chapter 20 Evaluating E-learning Engagement Through EEG Signal Analysis with Convolutional Neural Networks
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    Chapter 21 Food Item Recognition and Calories Estimation Using YOLOv5
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    Chapter 22 Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks
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    Chapter 23 Performance Analysis on Optimal Data Integrity and Security-Constrained Cloud Storage Framework with Meta-heuristic-Based Mechanism
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    Chapter 24 Computer Vision-Based Model for Classification of Citrus Fruits Diseases with Pertinent Image Preprocessing Method
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    Chapter 25 FLAML-HDPS Model: An Efficient and Intelligent AutoML Approach for Heart Disease Prediction
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    Chapter 26 An Efficient Selective Features Approach to Detect Hypothyroid Using Machine Learning
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    Chapter 27 Kullback–Leibler Divergence-Based Feature Selection Method for Image Texture Classification
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    Chapter 29 Generative Adversarial Networks: Overview
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    Chapter 30 Horse Race Prediction Using Machine Learning Algorithms
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    Chapter 31 An Approach to Blockchain-Based E-Voting System Using Peer-To-Peer Protocol
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    Chapter 32 Artificial Cognitive Intelligence and Information Technology in Cybersecurity
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    Chapter 33 Analyzing the Counterfeit Medicines Based on Classification Using Machine Learning Techniques
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    Chapter 34 Water Quality Classification Using Multi-cell RNN in Aquaculture Ponds for Catla Fish
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    Chapter 35 Advanced Techniques for Color Image Blind Deconvolution to Restore Blurred Images
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    Chapter 36 CRNN-Based Eye Behavior Analysis for Drowsiness Detection
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    Chapter 37 Sentiment Analysis Principle Technical Approach on Online Social Network Data Using CNN for Detection of Stress
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    Chapter 38 Performance Study of Three Different Types of Data Center Network Architectures, NovaCube, BCube, and FatTree Using NS-3 Simulator
Attention for Chapter 30: Horse Race Prediction Using Machine Learning Algorithms
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Chapter title
Horse Race Prediction Using Machine Learning Algorithms
Chapter number 30
Book title
Proceedings of Fifth International Conference on Computer and Communication Technologies
Published in
Lecture Notes in Networks and Systems, January 2024
DOI 10.1007/978-981-99-9704-6_30
Book ISBNs
978-9-81-999703-9, 978-9-81-999704-6
Authors

Chavan, Puja, Kunekar, Pankaj, Musale, Prajakta, Shinde, Mrunal, Shinde, Atharva, Shinde, Nikhil

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Agricultural and Biological Sciences 1 33%
Engineering 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2024.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Lecture Notes in Networks and Systems
#1
of 1 outputs
Outputs of similar age
#195,973
of 365,243 outputs
Outputs of similar age from Lecture Notes in Networks and Systems
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them