Journal of Information Systems Engineering and Management

High-throughput data streams are used to process transactions, detect fraud, resolve reconciliations, manage customer relationships and generate compliance reports in the financial sector. Traditional monitoring approaches primarily rely on rule-based alerts and thresholds to detect anomalies without providing explanations of potential impact and regulatory significance. This...

An unfamiliar Linux command may indicate either compromise or an authorized operational change; novelty alone cannot settle the distinction. This paper presents an independent, repository-based assessment of ZeroTrust SecOps AI, developed by Arya Brijesh Tiwari, with particular attention to the controls between anomaly scoring and security action. The review authors obtained ...

Wireless Sensor Networks (WSNs) have become integral to modern sensing applications, ranging from environmental monitoring to industrial automation. Optimizing WSNs is essential for extending network lifespan, improving data reliability, and minimizing energy consumption. This paper presents a comparative evaluation of key optimization methodologies—including dynamic programm...

Introduction: Whether and how firms adjust capital expenditure in response to inflation is a long-standing question in corporate finance, yet the empirical record is unsettled: evidence from developed markets and China links inflation and related uncertainty to lower or distorted investment, whereas evidence from Gulf Cooperation Council markets finds a posit...

Large Language Models (LLM) agents are gradually becoming dependent on external tools for knowledge grounding, and autonomous decision-making. The study offers empirical comparison of the structured API retrieval and browser automation as reliable LLM verbal to agents. Based on the verification agent of type document and registry developed by Amazon Bedrock AgentCore, API Gat...