The Internet of Things (IoT) is penetrating many facets our daily life with the proliferation intelligent services and applications empowered by artificial intelligence (AI). Traditionally, AI techniques require centralized data collection processing that may not be feasible in realistic application scenarios due to high scalability modern IoT networks growing privacy concerns. Federated Learni...

Mesh denoising is a fundamental problem in digital geometry processing. It seeks to remove surface noise while preserving intrinsic signals as accurately possible. While traditional wisdom has been built upon specialized priors smooth surfaces, learning-based approaches are making their debut with great success generalization and automation. In this work, we provide comprehensive review of the ...

In recent years there has been a rapid increase in demand for e-learning systems. The software development process plays a crucial role in the design and development of a high-quality e-learning system. However, to date, there is no comprehensive comparative study of open source software (OSS) development process for different OS e-learning systems. This hinders the development of a generalized...

Electronic health records (EHRs) security is a critical challenge in the implementation and administration of Internet Medical Things (IoMT) systems within healthcare sector’s heterogeneous environment. As digital transformation continues to advance, ensuring privacy, integrity, availability EHRs become increasingly complex. Various imaging modalities, including PET, MRI, ultrasonography, CT, X...