Hybrid Ensemble Based Machine Learning Approach for Cardiovascular Disease Risk Prediction Using Multiple Integrated Datasets

Sravanthi Jakkula,Raju Bhukya

#Cardiovascular diseases #machine learning algorithms #stacked models #disease prediction

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

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

Enhancing Motor Imagery EEG Classification Accuracy Using Weight Features Function

Abdel Fateh Doudou,Aicha Reffad,Kamel Mebarkia

#brain-computer interface #features extraction #genetic algorithm #motor imagery #SVM classifier

Enhancing Motor Imagery EEG Classification Accuracy Using Weight Features Function

Abdel Fateh Doudou,Aicha Reffad,Kamel Mebarkia

#brain-computer interface #features extraction #genetic algorithm #motor imagery #SVM classifier

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

Transformer-Based Text Summarization: A Deep Learning Approach with Hybrid Optimization

Dabiah Alboaneen

#Deep learning #text summarization #transformer #optimization #extractive and abstractive

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

Transformer-Based Text Summarization: A Deep Learning Approach with Hybrid Optimization

Dabiah Alboaneen

#Deep learning #text summarization #transformer #optimization #extractive and abstractive

Graph-Theoretic Model for Analyzing the Properties of Local Network in Social Internet of Things

Selvaraj Seerangan,Thangarajan Ramasamy

#Parental object relationship #SIoT #social object relationship #CLOR #C-WOR #ownership object relationship

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

Feature Selection Method Based on Consecutive Forward Selection and Backward Elimination Concepts Using a Weighted Vector

Luai Al-Shalabi

#Feature selection #forward-backward #chi-square #classification

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

Perception of Natural Scenes: Objects Detection and Segmentations using Saliency Map with AlexNet

Muhammad Waqas Ahmed,Abdulwahab Alazeb,Naif Al Mudawi,Touseef Sadiq,Bayan Alabdullah,Hameed ur Rahman,Asaad Algarni,Ahmad Jalal

#Pattern recognition #alexNet #fish swarm algorithm #object detection

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

Perception of Natural Scenes: Objects Detection and Segmentations using Saliency Map with

AlexNet, Abdulwahab Alazeb, Naif Al Mudawi, Touseef Sadiq, Bayan Alabdullah, Hameed ur Rahman, Asaad Algarni, Ahmad Jalal

#Pattern recognition # alexNet # fish swarm algorithm # object detection

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

Zero Trust Architecture for Security and Protection System in 5G Intelligent Healthcare

Wenzhong Jin,Shanjun Wu,Yu Feng,Huijing Wang,Chunyu Fu

#Artificial intelligence #intelligent healthcare system #sustainable development #big data #healthcare #5G communication #information safety #security