TSRL: Boosting IoT Edge Time Series Database Scalability through Lightweight Rate Limiter

Ahmed El-Naggar,Magdy Nagi,Sahar Ghanem

#IoT #edge computing #time series #database #rate limiter

Unraveling the Dynamics of Fake News and Misinformation on Twitter: A Comprehensive Exploration

Amna Hassan,Kashfia Sailunaz,Mehmet Kaya,Mehmet K. Ozdemir,Jon Rokne,Reda Alhajj

#Network analysis #machine learning #psychological drivers #combating misinformation #twitter (X)

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

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

Enhanced Nucleus Segmentation with Sobel Edge Detection and Attention Gate with Modified UNET

Sravanthi Jakkula,Raju Bhukya

#UNET #nucleus segmentation #sobel filter

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

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

Leveraging on Synthetic Data Generation Techniques to Train Machine Learning Models for Tenaga Nasional Berhad Stock Price Movement Prediction

#Stock price prediction #machine learning #synthetic data generation

XAI-PDF: A Robust Framework for Malicious PDF Detection Leveraging SHAP-Based Feature Engineering

Mustafa Al-Fayoumi,Qasem Abu Al-Haija,Rakan Armoush,Christine Amareen

#Machine learning #malicious PDF detection #feature engineering #explainable artificial intelligence #shapley additive explanations

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

Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning

Goksu Tuysuzoglu1 and Derya Birant2 1Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Turkey 2Department of Computer Engineering, Dokuz Eylul University, Turkey

#Bagging # boosting # classification algorithms # machine learning # random forest # supervised learning

Predicting Student Enrolments and Attrition Patterns in Higher Educational Institutions using

Machine Learning

#Machine learning # predictive model # apriori algorithm # student retention # enrolment behaviour # association rule mining # boosting # ensemble method

A Novel Approach to Maximize G-mean in Nonstationary Data with Recurrent Imbalance

Shifts

#Cost-sensitive algorithms # data stream classification # imbalanced data # online learning # population shift # skewed data stream

Stacknet Based Decision Fusion Classifier for Network Intrusion Detection

Isaac Kofi Nti,Owusu Narko-Boateng,Adebayo Felix Adekoya,Arjun Remadevi Somanathan

#Network intrusion detection #stacknet #ensemble learning classifier

An Efficient Intrusion Detection Framework Based on Embedding Feature Selection and Ensemble Learning Technique

Fawaz Mokbal,Wang Dan,Musa Osman,Yang Ping,Saeed Alsamhi

#Network security #intrusion detection #ensemble learning #xgboost algorithm #features selection