Abstract: Recently, federated learning frameworks such as Python TestBed for Federated Learning Algorithms and MicroPython TestBed for Federated Learning Algorithms have emerged to tackle user privacy ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

Fraud detection and anomaly analysis for financial security — with AI agent-to-agent transaction protection. Part of the Agentic System - a 24/7 autonomous AI framework with persistent memory.

Cyber situational awareness is critical for detecting and mitigating cybersecurity threats in real-time. This study introduces a comprehensive methodology that integrates the Isolation Forest and ...

This study provides an in-depth examination of forecasting the concentration of pharmaceutical compounds utilizing the input features (coordinates) r and z through a range of machine learning models.

The long-term loss of distribution network in the process of distribution network development is caused by the backward management mode of distribution network. The traditional analysis and ...

A man in Ho Chi Minh City on Tuesday turned over a python he had kept for seven years to the Forest Management Department. Nguyen Thu Tran, 44, handed the python, weighing 53kg and stretching more ...

The penetration of photovoltaic (PV) power into modern power systems brings enormous economic and environmental benefits due to its cleanness and inexhaustibility. Therefore, accurate PV power ...

With geological sea-level fluctuations driven by climate change, the distribution of mangrove forests has expanded and contracted through time. We studied an inland, isolated mangrove forest located ...

Spatial population genetic data often exhibits ‘isolation-by-distance,’ where genetic similarity tends to decrease as individuals become more geographically distant. The rate at which genetic ...