Leveraging Chicken Swarm Algorithm for Feature Selection Optimization Targeting Efficient Patients Backlog Elimination

Emna Bouazizi,Ayman E. Khedr,Amira M. Idrees

#Optimization #chicken swarm optimization algorithm #feature selection #logistics #supply chain management #backlogs

Heart Disease Diagnosis Using Decision Trees with Feature Selection Method

Alaa Sheta,Walaa El-Ashmawi,Abdelkarim Baareh

#Machine learning #classification #decision tree #heart disease #diagnosis

Empowering Intrusion Detection Systems: A Synergistic Hybrid Approach with Optimization and Deep Learning Techniques for Network Security

Ramya Chinnasamy,Malliga Subramanian,Nandita Sengupta

#Artificial neural network #deep learning #honey badger optimization #intrusion detection system

Semi-Supervised Kernel Discriminative Low-Rank Ridge Regression for Data Classification

Qi Zhu,Yong Peng

#Discriminative subspace #low-rank regression #kernel space #ridge regression #semi-supervised classification

A New Facial Expression Recognition Algorithm Based on DWT Feature Extraction and Selection

Fatima Zohra BOUKHOBZA,Abdenour HACINE GHARBI,Khaled ROUABAH

#Facial expression recognition #2D-DWT #person-independent system #feature extraction #wrapper feature selection #dimensionality reduction

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

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

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

Hybrid Feature Selection based on BTLBO and RNCA to Diagnose the Breast Cancer

Mohan Allam,Nandhini Malaiyappan

#Hybrid feature selection #binary teaching learning based optimization #neighborhood component analysis

New Model of Feature Selection based Chaotic Firefly Algorithm for Arabic Text Categorization

Meryeme Hadni,Hassane Hjiaj

#Chaotic method #firefly algorithm #arabic text categorization #feature selection

Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification

Musab Mustafa Hijazi,Akram Zeki,Amelia Ismail

#Artificial bee colony #Arabic text classification #wrapper feature selection #feature selection

A Hybrid Grey Wolf-Whale Optimization Algorithm for Classification of Corona Virus Genome Sequences using Deep Learning

Muthulakshmi Murugaiah,Murugeswari Ganesan

#Corona virus genome #deep learning #feature selection #GWO #hybrid optimization #WOA

211

Rangan Kodandaram, Shashank Mallikarjun, Manikantan Krishnamuthan, and Ramachandran Sivan

# FR # feature extraction # discrete wavelet transform # DCT # feature selection # BPSO

# Fuzzy apriori # feature selection # particle swarm # credit scoring

Roiss Alhutaish and Nazlia Omar

# ATC # K-NN # similarity measures # feature selection m ethods

Baraa Sharef 1, 3, Nazlia Omar1, and Zeyad Sharef 2

#Arabic TC # FRAM # automatic TC # text classification

Categorization in Arabic Text

#Root extraction # information retrieval # bigrams # stemming # Arabic morphological rules # feature selection

Features

#Port identification # deep packet inspection # netflow flow # machine learning

Modified Binary Bat Algorithm for Feature Selection in Unsupervised Learning

Abstract: Feature selection is the process of selecting a subset of optimal features by removing redundant and irrelevant

#Feature selection # unsupervised learning # binary bat algorithm # mutation