Hybridized Clustering Algorithm and Ensemble Learning for Monitoring Paddy Crop Growth Analysis

Sathiya Priya.R,Rahamathunnisa.U

#Crop monitoring #satellite images #vegetation index #eigenvector #eigenvalue #hybridized clustering algorithm #ensemble learning

Prediction of Football Players’ Value in the Transfer Market of Well-known European Leagues based on FIFA 19 and Real-world Data

Yu Sun,Kepeng Gu

#Transfer market #European football leagues #data engineering #variance inflation factor #regression prediction algorithms #rhizostoma optimization algorithm

Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models

Potu Bharath,Dasari Venkata Lakshmi

#Sentiment analysis #deep convolutional fuzzy neural network #multilayer stacked bidirectional LSTM neural network inception-ResNet-V2 #enhanced reptile search algorithm #Al-Biruni earth radius optimization algorithm

Low Dimensional Multi Class Steganalysis of Spatial LSB based Stego Images Using Textural Features

Veena Sivasamy Thanasekaran,Arivazhagan Selvaraj

#Active steganalysis #blind steganalysis #statistical steganalysis #multi class classifier #spatial domain algorithms #ensemble classifier

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Low Dimensional Multi Class Steganalysis of Spatial LSB based Stego Images Using Textural Features

Veena Sivasamy Thanasekaran,Arivazhagan Selvaraj

#Active steganalysis #blind steganalysis #statistical steganalysis #multi class classifier #spatial domain algorithms #ensemble classifier

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Classification of Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier

Bangalore Nagaraj Madhukar,Shivanandamurthy Hiremath Bharathi,Matta Polnaya Ashwin

#Breast cancer classification #histopathology image #ensemble filter feature selection #triplet attention based EfficientNet #TAENet

RoboGuard: Enhancing Robotic System Security with Ensemble Learning

Ali Al Maqousi,Mohammad Alauthman

#Robotic systems #cybersecurity #malware detection #machine learning #ensemble learning #synthetic minority over-sampling technique

Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning

Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li

#Integrated learning #corporate portrait #classification and identification #strong supervision model

Research on a Method of Defense Adversarial Samples for Target Detection Model of Driverless Cars

Ruzhi Xu,Min Li,Xin Yang,Dexin Liu,Dawei Chen

#Driverless cars #object detection #adversarial examples #parametric noise injection #adversarial training

Abductive Network Ensembles for Improved

Mojeeb Al-Khiaty1, Radwan Abdel-Aal2, and Mahmoud Elish1,3 1Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Saudi

#Change-proneness # software metrics # abductive networks # ensemble classifiers

Weighted Delta Factor Cluster Ensemble Algorithm for Categorical Data Clustering in Data Mining

robustness, stability and the quality of individual clustering systems, it is intensely observed that this approach in most cases

#Clustering # cluster ensembles # consensus function # data mining # refined matrix # similitude measures

Online Approach to Handle Concept Drifting Data Streams using Diversity

Abstract: Concept drift is the trend observed in almost all real time applications. Many online and offline algorithms were

#Online learning # ensemble # concept drift # data streams # diversity

Phishing Detection using RDF and Random Forests Vamsee Muppavarapu, Archanaa Rajendran, and Shriram Vasudevan

cloned and victims are lured to the fake website to provide their personal as well as confidential information, sometimes it

#Phishing # ensemble learning # RDF models # phishing target # metadata # vocabulary # random forests

A Novel Approach for Face Recognition Using

Abstract: This paper explores a novel approach for automatic human recognition from multi-view frontal facial images taken

#Face recognition # abductive machine learning # neural computing # GMDH-based ensemble learning

Assessment of Ensemble Classifiers Using the Bagging

Hassan Mohamed1, Abdelazim Negm1, Mohamed Zahran2, and Oliver Saavedra3 1Department of Environmental Engineering, Egypt-Japan University of Science and Technology, Egypt 2Department of Geomatics Engineering, Benha University, Egypt 3Department of Civil Engineering, Tokyo Institute of Technology, Japan

#Bagging; classification; ensemble; landsat satellite magery

Consensus-Based Combining Method for Classifier

Abstract: In this paper, a new method for combining an ensemble of classifiers, called Consensus-based Combining Method

#Artificial intelligence # classification # machine learning # pattern recognition # classifier ensembles # consensus theory # combining methods # majority voting # mean method # product method

Towards Achieving Optimal Performance using Stacked Generalization Algorithm: A Case Study of

Clinical Diagnosis of Malaria Fever

#Data mining # ensemble learning # stacked generalization # malaria # diagnosis

Tracking Recurring Concepts from Evolving Data Streams using Ensemble Method

Yange Sun1,2, Zhihai Wang2, Jidong Yuan2, and Wei Zhang2 1School of Computer and Information Technology, Xinyang Normal University, China 2School of Computer and Information Technology, Beijing Jiaotong University, China

#Data streams # ensemble classification # change detection # recurring concept # Jensen-Shannon divergence