Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding FBI ...

In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to ...

Abstract: The return of commercial supersonic flight requires innovative solutions to be developed that meet noise and efficiency requirements for overland flight. To study such a possibility NASA is ...

Paul Deraval, Cofounder & CEO of NinjaCat, is a software veteran with 20+ years driving innovation in martech, AI and agency growth. Enterprise AI has evolved from a tool for innovation to a core ...

Spam Email Detection using Logistic Regression Project Overview This project implements a logistic regression-based classifier to detect spam emails. The dataset is preprocessed, standardized, and ...

1 Institute of Geology and Geophysics, Ministry of Science and Education, Baku, Azerbaijan 2 School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan In recent years, seismological ...

Abstract: This paper presents a pulse-arrival-time (PAT) estimation scheme using Extreme Gradient Boosting (XGBoost) regression and its implementation with hardware description language (HDL). PAT is ...

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...

ADDRESSING AN EMERGENCY SITUATION: The extraordinary threat posed by illegal aliens and drugs, including deadly fentanyl, constitutes a national emergency under the International Emergency Economic ...