Frontiers

Machine Learning, AI, and Robotics in Musculoskeletal Rehabilitation

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...
IEEE

A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware

Abstract: The advancement of information technology has introduced new challenges in cybersecurity, especially related to the Android platform which is the main target of malicious software (malware) ...
AZoBuild

Machine Learning Predicts the Strength of Carbonated Recycled Concrete

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
GitHub

Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption

This repo is the official repo for Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption. To evaluate Lancelot, we first install HomoMul GPU Accelerator ...
IEEE

ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning

Abstract: Many Web Application Firewalls (WAFs) leverage the OWASP Core Rule Set (CRS) to block incoming malicious requests. The CRS consists of different sets of rules designed by domain experts to ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
Frontiers

A robust ammonia metabolism gene signature identified by machine learning predicts prognosis and immunotherapy response in clear cell renal cell carcinoma

Background: Despite the widespread use of immune checkpoint inhibitors (ICIs) in advanced clear cell renal cell carcinoma (ccRCC), therapeutic resistance persists. The prognostic and immunomodulatory ...