Enhanced IIoT Security: A Hybrid Intrusion Detection Framework Using Signature-Based and Deep Learning Approaches

Komal Bansal,Anita Singhrova

#Deep learning #machine learning #information security #anomaly detection #IIDS #IIoT #GRU #GHA #SOA

Smart Agriculture Using Real-Time IoT-LoRa: Wheat Crop Disease Prediction and Irrigation Management Based on Machine Learning Models

Mohamed Sahnoun,Rachida Touhami,Smail Tedjini,Naim Ramou,Redouane Drai,Omar Kherif

#Smart agriculture #irrigation #IoT #LoRa #crop disease #deep learning #machine learning #fuzzy logic

Machine and Deep Learning Model for EMG Signal Classification: A New Performance-Cost Analysis Across CPU and GPU Architectures

Toka Fathi,Mohammed A M Abdullah,Basil Shukr

#EMG #GPU #decision trees #random forests #KNN #XGboost #LSTM #and CNN-LSTM

Multi-Class Image Classification Using Feature Fusion and Kinetic Gas Molecule Optimization

Venkataravana Kadirappa,Praveen Mokshanatha

#Accuracy #convolution neural network #feature extraction #feature fusion #image classification #kinetic gas molecule optimization #k-nearest neighbors

Multi-Class Image Classification Using Feature Fusion and Kinetic Gas Molecule Optimization

Venkataravana Kadirappa,Praveen Mokshanatha

#Accuracy #convolution neural network #feature extraction #feature fusion #image classification #kinetic gas molecule optimization #k-nearest neighbors

Arab Face Recognition and Identification Based on Ethnicity and Gender Using Machine Learning

Mohammed Abual-Rub,Khalid Nahar,Ammar Almomani,Firas Alzobi

#Ethnicity #facial recognition #neural network #multi-class classification #machine learning #facial features

A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques

Jamal Hussain Shah,Muhammad Sharif,Mudassar Raza,Aisha Azeem

#Linear #non/linear #PCA #2DPCA #2DKPCA #facial feat ures extraction #face recognition #survey

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Classification

Vivine Nurcahyawati,Zuriani Mustaffa,Mohammed Khalaf

#Lexicon-based #classification #customer #review #text analysis

Integrating Multiplex Heterogeneous Network for Knowledge Tracing

Liqing Qiu,Si’ao Sun

#Knowledge tracing #multiplex heterogeneous networks #graph representation learning #pre-trained embeddings #graph convolutional networks

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Cl

Ghadeer

#Lexicon-based #classification #customer #review #text analysis

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Classification

Vivine Nurcahyawati,Zuriani Mustaffa,Mohammed Khalaf

#Lexicon-based #classification #customer #review #text analysis

Integrating Multiplex Heterogeneous Network for Knowledge Tracing

Liqing Qiu,Si’ao Sun

#Knowledge tracing #multiplex heterogeneous networks #graph representation learning #pre-trained embeddings #graph convolutional networks

Pedestrian Target Recognition Algorithm in Public Places Based on Representation Learning and Similarity Learning

Xiaowen Li

#DenseNet #singular value decomposition #KNN algorithm #AM-softmax function #pedestrian target recognition

Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms

Hussam Alawneh,Ahmad Hasasneh

#Bone marrow transplant #hematopoietic stem cell #random forest #bagging #adaboost #gradient boost #decision tree #XGBoost

Speech-Based Techniques for Emotion Detection in Natural Arabic Audio Files

Ashraf Kaloub,Eltyeb Abed Elgabar

#Emotion detection #natural language processing #machine learning #Arabic language #acoustic features

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

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

3D VAE Video Prediction Model with Kullback Leibler Loss Enhancement

Zahraa Al Mokhtar,Shefa Dawwd

#3D sampling stage #kullback leibler loss #temporal 3D sampling stage #three dimensional RNN layers #variational autoencoder