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Intelligent Computing Methodologies

Overview of attention for book
Cover of 'Intelligent Computing Methodologies'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Automatic Pose Estimation of Micro Unmanned Aerial Vehicle for Autonomous Landing
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    Chapter 2 A New Robotic Manipulator Calibration Method of Identification Kinematic and Compliance Errors
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    Chapter 3 Person-Following Shopping Support Robot Using Kinect Depth Camera Based on 3D Skeleton Tracking
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    Chapter 4 Real-Time Object Detection Based on Convolutional Block Attention Module
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    Chapter 5 Image Super-Resolution Network Based on Prior Information Fusion
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    Chapter 6 TFPGAN: Tiny Face Detection with Prior Information and GAN
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    Chapter 7 Regenerating Image Caption with High-Level Semantics
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    Chapter 8 Aggregated Deep Saliency Prediction by Self-attention Network
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    Chapter 9 Identification of Diseases and Pests in Tomato Plants Through Artificial Vision
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    Chapter 10 Depth Guided Attention for Person Re-identification
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    Chapter 11 Improved Vision Based Pose Estimation for Industrial Robots via Sparse Regression
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    Chapter 12 LiDAR-Camera-Based Deep Dense Fusion for Robust 3D Object Detection
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    Chapter 13 PON: Proposal Optimization Network for Temporal Action Proposal Generation
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    Chapter 14 A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting
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    Chapter 15 A Fast Terminal Sliding Mode Control Strategy for Trajectory Tracking Control of Robotic Manipulators
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    Chapter 16 An Active Disturbance Rejection Control Method for Robot Manipulators
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    Chapter 17 A Fault Tolerant Control for Robotic Manipulators Using Adaptive Non-singular Fast Terminal Sliding Mode Control Based on Neural Third Order Sliding Mode Observer
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    Chapter 18 Fuzzy PID Controller for Adaptive Current Sharing of Energy Storage System in DC Microgrid
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    Chapter 19 Deep Learning Based Fingerprints Reduction Approach for Visible Light-Based Indoor Positioning System
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    Chapter 20 Anomaly Detection for Time Series Based on the Neural Networks Optimized by the Improved PSO Algorithm
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    Chapter 21 An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data
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    Chapter 22 Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets
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    Chapter 23 A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations
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    Chapter 24 DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection
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    Chapter 25 Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model
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    Chapter 26 Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
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    Chapter 27 A Survey of Vision-Based Road Parameter Estimating Methods
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    Chapter 28 The TE Fault Monitoring Based on IPCR of Adjustable Threshold
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    Chapter 29 Notes on Supervisory Control of Fuzzy Discrete Event Systems
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    Chapter 30 A Multi-class Classification Algorithm Based on Geometric Support Vector Machine
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    Chapter 31 A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information
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    Chapter 32 BP Neural Network-Based Deep Non-negative Matrix Factorization for Image Clustering
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    Chapter 33 Parameters Selection of Twin Support Vector Regression Based on Cloud Particle Swarm Optimization
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    Chapter 34 A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions
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    Chapter 35 Feature Extraction and Random Forest to Identify Sheep Behavior from Accelerometer Data
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    Chapter 36 Multi-core Twin Support Vector Machines Based on Binary PSO Optimization
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    Chapter 37 Multi-stage Hierarchical Clustering Method Based on Hypergraph
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    Chapter 38 Discovery of Cancer Subtypes Based on Stacked Autoencoder
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    Chapter 39 A Meta Graph-Based Top-k Similarity Measure for Heterogeneous Information Networks
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    Chapter 40 Joint Deep Recurrent Network Embedding and Edge Flow Estimation
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    Chapter 41 An Effective Multi-label Classification Algorithm Based on Hypercube
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    Chapter 42 Using Self Organizing Maps and K Means Clustering Based on RFM Model for Customer Segmentation in the Online Retail Business
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    Chapter 43 An Adaptive Seed Node Mining Algorithm Based on Graph Clustering to Maximize the Influence of Social Networks
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    Chapter 44 Wavelet-Based Emotion Recognition Using Single Channel EEG Device
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    Chapter 45 Dense Subgraphs Summarization: An Efficient Way to Summarize Large Scale Graphs by Super Nodes
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    Chapter 46 Uncertainty of Multi-granulation Hesitant Fuzzy Rough Sets Based on Three-Way Decisions
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    Chapter 47 WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations
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    Chapter 48 Word Embedding by Unlinking Head and Tail Entities in Crime Classification Model
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    Chapter 49 A Novel Hybrid Bacterial Foraging Optimization Algorithm Based on Reinforcement Learning
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    Chapter 50 Improved Water Cycle Algorithm and K-Means Based Method for Data Clustering
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    Chapter 51 The Research of Music AI in the Context of Information Security
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    Chapter 52 Intra-frame Adaptive Transform Size for Video Steganography in H.265/HEVC Bitstreams
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    Chapter 53 Towards a Universal Steganalyser Using Convolutional Neural Networks
  55. Altmetric Badge
    Chapter 54 A HEVC Steganography Method Based on QDCT Coefficient
Attention for Chapter 26: Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Chapter title
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Chapter number 26
Book title
Intelligent Computing Methodologies
Published in
arXiv, October 2020
DOI 10.1007/978-3-030-60796-8_26
Book ISBNs
978-3-03-060795-1, 978-3-03-060796-8
Authors

Sohail Ahmed Khan, Wasiq Khan, Abir Hussain, Khan, Sohail Ahmed, Khan, Wasiq, Hussain, Abir

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Student > Bachelor 5 9%
Lecturer 4 7%
Student > Postgraduate 4 7%
Student > Ph. D. Student 4 7%
Other 4 7%
Unknown 27 49%
Readers by discipline Count As %
Computer Science 21 38%
Engineering 2 4%
Agricultural and Biological Sciences 1 2%
Mathematics 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 28 51%
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 09 January 2021.
All research outputs
#15,642,530
of 23,253,955 outputs
Outputs from arXiv
#381,559
of 958,527 outputs
Outputs of similar age
#255,279
of 412,321 outputs
Outputs of similar age from arXiv
#13,203
of 33,816 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 958,527 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 412,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,816 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.