Machine learning methods enable computers to operate autonomously without explicit programming. ML applications are fed with new data, and they can independently learn, grow, develop, and adapt. The goal of supervised learning is to map input data with the output data. The supervised learning is based on supervision, and it is the same as when […]
To overcome this problem, researchers devote considerable time to the integration of ontology in big data to ensure reliable interoperability between systems in order to make big data more useful, readable and exploitable. Semantic analysis is the understanding of natural language (in text form) much like humans do, based on meaning and context. Polysemy refers […]
Our study leverages and further develops the evaluative criteria developed by Laranjo et al. and Montenegro et al. to assess commercially available health apps9,32. Today, the advancements in the world of conversational AI are not only helping organizations and businesses improve, but are also impacting our personal lives. Two popular technologies are chatbots and virtual […]
The supply chain sector has significant obstacles, both structural and cyclical: Market flaws that reduce its effectiveness include price volatility, information opacity, overbooking, last-minute cancellations, capacity strain, and underutilization. Both sides of the market are progressively harmed by this circumstance. It is necessary to find new solutions, and digitization offers a great chance to free up business.
