Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
GitHub

A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Fault Diagnosis of Photovoltaic Array Based on GOOSE-SVM Model

Abstract: To address the accuracy degradation caused by unstable parameter selection in Support Vector Machines (SVM) for photovoltaic (PV) array fault diagnosis, this paper proposes a fault diagnosis ...
GitHub

bethington/cheat-engine-server-python

This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.
IEEE

SVM Outperforms Conventional Models for Rainfall Forecasting: A Machine Learning Perspective

Abstract: Accurate predictions of rainfall are the most essential in water resources management, crop planning and disaster avoidance. The complex and nonlinear trends in the meteorological data tend ...