Background In early 2026, OpenClaw (formerly known as Clawdbot and Moltbot), an open-source autonomous AI agent project, quickly attracted global attention. As an automated intelligent application ...

Abstract: Multivariate Time Series (MTS) forecasting is to accurately predict future trends through in-depth analysis of historical time series data, and to provide valuable reference to support for ...

ABSTRACT: This study investigates a planar differential game involving a singular attacker and defender, wherein the attacker endeavors to arrive at a specified target line while the defender seeks to ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

Abstract: Finding a stable community in dynamically developing networks is crucial. In this study, we introduce an innovative concept of resilience, originally rooted in infrastructure networks, and ...

Introduction: Brain dynamics offer a more direct insight into brain function than network structure, providing a profound understanding of dysregulation and control mechanisms within intricate brain ...

An important step before clinical intervention selection is the diagnosis of the condition of a patient. Diagnostic tests are commonly used to confirm or exclude a target condition (e.g. a disease).

Research on emotion fluctuation is of significant importance for understanding human behavior and mental health. This study explores the application of time series analysis methods in emotion ...

Dynamic malware analysis is a key part of any threat investigation. It involves executing a sample of a malicious program in the isolated environment of a malware sandbox to monitor its behavior and ...

At one time a relatively infrequent occurrence, voltage drop is now a major impediment to reliability at advanced nodes. Decades ago, voltage drop was only an issue for very large and high-speed ...