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Machine Intelligence and Smart Systems

Overview of attention for book
Cover of 'Machine Intelligence and Smart Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited
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    Chapter 2 Deep Learning Implementation for Dark Matter Particle Detection
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    Chapter 3 Augmentation of Handwritten Devanagari Character Dataset Using DCGAN
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    Chapter 4 Deep Reinforcement Learning for Optimal Traffic Control
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    Chapter 5 Ensemble Semi-supervised Machine Learning Algorithm for Classifying Complaint Tweets
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    Chapter 6 Underwater Image Enhancement Using Fusion Stretch Method
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    Chapter 7 A Novel Approach for Semantic Microservices Description and Discovery Toward Smarter Applications
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    Chapter 8 Comparative Analysis of Machine Learning Algorithms for Imbalance Data Set Using Principle Component Analysis
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    Chapter 9 Application of Reinforcement Learning in Control Systems for Designing Controllers
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    Chapter 10 Classifying Skin Cancer Images Based on Machine Learning Algorithms and a CNN Model
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    Chapter 11 Lossless Data Compression Method Using Deep Learning
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    Chapter 12 Comparative Study on Different Classification Models for Customer Churn Problem
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    Chapter 13 An E-healthcare System Using IoT and Edge Computing
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    Chapter 14 Autism Detection Using Machine Learning Approach: A Review
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    Chapter 15 Double-Image Encryption Through Compressive Sensing and Discrete Cosine Stockwell Transform
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    Chapter 16 A Hybrid Deep Learning Model for Human Activity Recognition Using Wearable Sensors
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    Chapter 17 Detection of Diabetic Retinopathy Using Deep Learning-Based Framework
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    Chapter 18 Multiclass Image Classification Using OAA-SVM
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    Chapter 19 Deep Learning-Based Differential Distinguisher for Lightweight Ciphers GIFT-64 and PRIDE
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    Chapter 20 COVID-19 Detection Using Chest X-rays: CNN as a Classifier Versus CNN as a Feature Extractor
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    Chapter 21 Fuzzy Set-Based Frequent Itemset Mining: An Alternative Approach to Study Consumer Behaviour
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    Chapter 22 EEG Seizure Detection Using SVM Classifier and Genetic Algorithm
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    Chapter 23 Colorization of Grayscale Images Using Convolutional Neural Network and Siamese Network
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    Chapter 24 Modelling and Visualisation of Traffic Accidents in Botswana Using Data Mining
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    Chapter 25 EPM: Meta-learning Method for Remote Sensing Image Classification
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    Chapter 26 Collaborative Network Security for Virtual Machine in Cloud Computing for Multi-tenant Data Center
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    Chapter 27 Binary Classification of Toxic Comments on Imbalanced Datasets Using Recurrent Neural Networks
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    Chapter 28 Robust Object Detection and Tracking in Flood Surveillance Videos
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    Chapter 29 Anti-drug Response Prediction: A Review of the Different Supervised and Unsupervised Learning Approaches
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    Chapter 30 An Highly Robust Image Forgery Detection Using STPPL-HBCNN and Region Detection Using DBSCAN-ACYOLOv2 Technique
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    Chapter 31 Deep Learning-Based Differential Distinguisher for Lightweight Cipher GIFT-COFB
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    Chapter 32 Dementia Detection Using Bi-LSTM and 1D CNN Model
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    Chapter 33 PairNet: A Deep Learning-Based Object Detection and Segmentation System
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    Chapter 34 Analysis of Electrocardiogram Signal Using Fuzzy Inference Evaluation System
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    Chapter 35 Optical Flow Video Frame Interpolation Based MRI Super-Resolution
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    Chapter 36 An Efficient Hybrid Recommendation Model with Deep Neural Networks
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    Chapter 37 Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
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    Chapter 38 A Machine Learning Approach for Automated Irrigation Management System
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    Chapter 39 Deepfake Images, Videos Generation, and Detection Techniques Using Deep Learning
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    Chapter 40 Retinal Image Enhancement Using Hybrid Approach
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    Chapter 41 Prediction of Mental Stress Level Based on Machine Learning
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    Chapter 42 Data Distribution in Reliable and Secure Distributed Cloud Environment Using Hash-Solomon Code
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    Chapter 43 A Novel Classification of Cancer Based on Tumor RNA-Sequence (RNA-Seq) Gene Expression
Attention for Chapter 37: Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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2 Dimensions

Readers on

mendeley
9 Mendeley
Summary X Dimensions citations
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Chapter title
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
Chapter number 37
Book title
Machine Intelligence and Smart Systems
Published in
arXiv, May 2022
DOI 10.1007/978-981-16-9650-3_37
Book ISBNs
978-9-81-169649-7, 978-9-81-169650-3
Authors

Anugunj Naman, Liliana Mancini, Chetan Sinha, Naman, Anugunj, Sinha, Chetan

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Computer Science 3 33%
Engineering 1 11%
Unknown 5 56%
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 01 June 2022.
All research outputs
#18,912,355
of 24,093,053 outputs
Outputs from arXiv
#476,986
of 1,020,419 outputs
Outputs of similar age
#300,300
of 427,888 outputs
Outputs of similar age from arXiv
#16,988
of 35,834 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 427,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,834 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.

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