United States Army

Data Overload in an Age of Transformation: Mastering the Basics

As one of the battle captains assigned to the 101st Airborne Division (Air Assault), I was first struck by the amount of chat ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
IEEE

Evaluating Large Language Models for Enhanced Fuzzing: An Analysis Framework for LLM-Driven Seed Generation

Abstract: Fuzzing is a crucial technique for detecting software defects by dynamically generating and testing program inputs. This study introduces a framework designed to assess the application of ...
EurekAlert!

AI learns to build simple equations for complex systems

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
United States Army

Ivy Raider ‘Moneyball for Gunnery’ Part 2: The Science of Crew Lethality

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Bin Li Contributes New Data-Driven Model Integrating BOM and ECBOM for Manufacturing Energy Analysis

Research on digital twin technology for green manufacturing establishes new frameworks for energy efficiency assessment, while practical ...
GitHub

abdullahzunorain/umkm-forecasting-app

The UMKM Daily Stock Forecasting System is an intelligent solution designed specifically for small and medium enterprises (Usaha Mikro, Kecil, dan Menengah) to optimize inventory management through ...
IEEE

ALS Detection Framework Based on Automatic Singular Spectrum Analysis and Quantum Convolutional Neural Network From EMG Signals

Abstract: Electromyogram (EMG) signals are recordings of the electrical activity in muscles, which are studied due to their informative nature regarding neuromuscular disorders. Analysis of EMG ...