… automated intelligent management system (AIMS) for analysis and decision making, which
mines real-… In this paper, we apply AIMS to an actual company’s simulated vendor managed …

… environments are protocols designed to provide secure communication and data exchange
between different vendors in a multi-vendor environment. These protocols provide a secure …

… Second, we trained, tested and validated the ML-based algorithm on systems from only
two vendors; systems from other vendors need to be addressed in future studies. Third, our “…

… with vendors, emphasizing the distinctive values of higher education; (b) learning analytics
… The deeper improvements will happen as we analyze how students process the content—…

… that the deep learning algorithms for … a deep learning network to standardize those various
CT images. Additionally, for better results of image-to-image translation, the deep learning …

… Unfortunately, modern AI advances in deep learning are … , many deep learning models are
created via transfer learning, … modified directly while stored at a vendor or in transit to the user. …

… architectures, based on vendor-optimized DL implementations, … We select vendor-optimized
Caffe implementations of popular … We identify scaling bottlenecks and analyze efficiency with …

… , third-party vendors play a crucial role in … , this analysis aims to scrutinize the diverse
applications of GPT in addressing the unique security concerns associated with third-party vendor …

… involved data analysis using natural language processing (NLP) and deep learning to identify
… After applying our NLP and deep learning approaches, we identified 1271 tweets and 596 …

… This study addresses this issue by presenting a street view deep learning … vendor, which
is one of the most visible occupations in the informal economy. There were 3907 street vendors …