Latest research papers in Examination and Analysis in Mobile Cloud Forensics focus on integrating mobile device data with cloud-based evidence to enhance the accuracy, efficiency, and reliability of forensic investigations. Studies emphasize the development of AI-driven frameworks, ontology-based systems, and large language model-assisted tools to automate the analysis of cloud and mobile forensic logs. Researchers also explore advanced analytical techniques such as timeline analysis, hash filtering, data carving, and data mining methods to reconstruct events and detect anomalies in mobile-cloud environments. Additionally, emerging tools aim to address challenges like multi-tenancy, data synchronization, and legal compliance, providing seamless workflows that preserve evidence integrity while enabling comprehensive investigation across mobile and cloud platforms.