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

A Bimodal Emotion Recognition Algorithm for Audio and Video Based on Emotion Modeling

Yang Liu,Shudan Feng,*Corresponding author

#Audio #video #fourier transform #soundnet neural network #recurrent neural network #long and short-term memory network

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

An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

Analyzing Consumer Mindset Metrics in Arabic Dialectical Texts on Social Media Platforms Using Deep Learning

Safa Al-Sarayreh,Mohd Husin,Noor Ibrahim

#Deep learning #consumer mindset #arabic dialectical texts #social media platforms #consumer behavior #NLP

Enhancing Software Development Efficiency Through User Stories Reuse from Application Descriptions

Indra Kharisma Raharjana,Avril Hermawan,Badrus Zaman,Shukor Sanim Mohd Fauzi

#Application description #requirements reuse #requirements elicitation #process innovation #user story

Low Carbon Scheduling in Manufacturing Workshops Taking into Account the Improvement of NSGA-II

Yanjun Zhou,Fei Wang

#Workshop low-carbon scheduling #NSGA-II #manufacturing industry #multi-objective optimization #elite retention strategy

An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

Analyzing Consumer Mindset Metrics in Arabic Dialectical Texts on Social Media Platforms Using Deep Learning

Safa Al-Sarayreh,Mohd Husin,Noor Ibrahim

#Deep learning #consumer mindset #arabic dialectical texts #social media platforms #consumer behavior #NLP

Enhancing Software Development Efficiency

Through User Stories Reuse from Application, Avril Hermawan, Badrus Zaman, Shukor Sanim Mohd Fauzi

#Application description # requirements reuse # requirements elicitation # process innovation # user story

Low Carbon Scheduling in Manufacturing Workshops Taking into Account the Improvement of NSGA-II

Yanjun Zhou,Fei Wang

#Workshop low-carbon scheduling #NSGA-II #manufacturing industry #multi-objective optimization #elite retention strategy

Bridging the Gap: Ensemble Learning-Based NLP Framework for AI-Generated Text Identification in Academia

Layth Hazim,Oguz Ata

#Large language models #AI-generated text #human-written text #exploratory data analysis #NLP #ensemble learning

Evaluation of Deep Learning Models for Remote Sensing Segmentation and Classification

SaiVenkataLakshmi Ananth,Suryakanth Gangashetty

#Semantic segmentation #deep learning #VGG16 #classification #remote sensing #densenet201-CNN #U-net #deeplabV3+

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging