EXPLORATION OF SHARED THEMES BETWEEN FOOD SECURITY AND INTERNET OF THINGS RESEARCH THROUGH LITERATURE-BASED DISCOVERY

Exploration of Shared Themes Between Food Security and Internet of Things Research Through Literature-Based Discovery

This paper applied a literature-based discovery methodology utilizing citation networks and text mining in order to extract and represent shared terminologies found in disjoint academic literature on food security and the Internet of Things.The AEG HKH81700FB 80cm MaxiSense Rimless Touch Control Induction Hob topic of food security includes researc

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Dynamic order Markov model for categorical sequence clustering

Abstract Markov models are extensively used for categorical sequence clustering and classification due to their inherent ability to capture complex chronological dependencies hidden in sequential data.Existing Markov models are based on an implicit assumption that the probability of the next state depends on the preceding context/pattern which is c

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