Tech Xplore

New RoboReward dataset and models automate robotic training and evaluation

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Frontiers

Development and validation of an interpretable machine learning model for predicting the risk of non-cardiac surgery postoperative heart failure: a multicenter study

Background: This study developed a machine learning model to predict postoperative heart failure (HF) risk in non-cardiac surgery patients. Methods: Using data from 489 patients (109 HF cases, 380 ...
GitHub

ECS7020P Principles of Machine Learning - Mini Project

This repository contains the mini project for the ECS7020P Principles of Machine Learning course at Queen Mary University of London. This project develops an automated song recognition system capable ...
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
IEEE

Optimizing Classification of Suspicious Financial Transactions Using Machine Learning: a Comparative Study of Random Forest, Xgboost, and Svm

Abstract: This study explores the application of machine learning models to detect suspicious financial transactions in the banking sector. Using a dataset of 12,571 transactions obtained from PT Bank ...
news.ucsc

WiFi signals can measure heart rate—no wearables needed

Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
Scientific Research Publishing

Comparative Study of Machine Learning Models for Load Prediction and Energy Management ()

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Electrical and Communication Engineering Department, United Arab Emirates University, Al ...
TechCrunch

YouTube rolls out age-estimation tech to identify US teens and apply additional protections

YouTube on Tuesday announced it’s beginning to roll out age-estimation technology in the U.S. to identify teen users in order to provide a more age-appropriate experience. The company says it will use ...
IEEE

Heart Disease Prediction using Hybrid Machine Learning with ECG Dataset for Healthcare-IOT Application

Abstract: Heart-disease is one of the leading cause of death around the world, precaution is only if early detection. This research focuses on the development of a heart disease prediction system ...
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
Scientific Research Publishing

Diabetes Diagnosis Using Machine Learning: A SVM-Based Approach ()

1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...