Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera Video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

MXLPred: A Natural Language Processing Deep Learning Model for ICU Patients’ Data

Daphne Samuel,Mary Anita Rajam

#Deep learning #ensemble model #natural language processing #MIMIC-IV #regression #big query

EEG Signal Recognition of VR Education Game Players Based on Hybrid Improved Wavelet Threshold and LSTM

Yang Li,Haiyu Zhang

#EEG signal #wavelet threshold method #LSTM #VR #EEMD

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