Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

MicroCloud Hologram Inc. Proposes Quantum AI Simulator Adopting Hybrid CPU-FPGA Method, Achieving Efficient Image Classification Simulation Through Heterogeneous Computing

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
Endovascular Today

A Collaborative Approach to Treatment Algorithms for Pelvic Venous Disorders

Kathleen Ozsvath, MD Chief of Surgery, Samaritan Hospital St. Peter’s Vascular Associates Troy, New York Professor of Surgery ...
The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Medical Design & Outsourcing

Zimmer Biomet says its SynTuition algorithm enhances diagnostic certainty

Zimmer said SynTuition matched expert’s PJI diagnosis 96% of the time, outperforming pooled physicians who matched experts 91% of the time.
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Quantum Risk Moves to the Boardroom as eMudhra Advises Global Enterprises on Post-Quantum Cryptography Strategy

Mudhra helps global enterprises assess quantum risk, modernize PKI, and build crypto-agile strategies for a secure ...
IEEE

Research on Multi-Task Prediction Methods Based on Random Forest Algorithm and LightGBM Classifier

Abstract: This study constructs a multi-task prediction framework based on the random forest algorithm and LightGBM classifier, aiming to achieve feature mining and state recognition of acceleration ...
IEEE

Comparative Evaluation of Machine Learning Classifier Algorithms for Electric Load Disaggregation Based on Average Power Signatures

Abstract: Non-Intrusive Load Monitoring (NILM) systems disaggregate energy consumption data to provide insights into appliance-level usage. This study addresses the challenge of accurately estimating ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
GitHub

aaravpillai/text-readability-classifier

This was my project for the unit 'Natural Language Processing for the Creative Industries' at the University of the Arts London during Term 1 of my masters program. Research into the area of text ...