… , intelligent tools/mechanisms are needed to manage the system effectively and make timely decisions. In general, the artificialneuralnetwork … the problems of classification, forecasting, …
RX Ding, I Palomares, X Wang, GR Yang, B Liu… - Information fusion, 2020 - Elsevier
… this emerging family of decision frameworks. Secondly, a classification of LSDM literature is … Accordingly, we present a taxonomy and an overview of LSDM models, predicated on their …
… Departing from this definition, we propose and discuss about a taxonomy of recent … XAI goals, so as to settle a first classification criteria for the full suit of papers covered in this review: …
… review are presented and discussed. The methodology for this research is that distributed machinelearning … in big data, machinelearning, and artificialintelligence methodologies and …
… This paper offers a thorough and detailed review of various methods to detect and prevent DDoS attacks, according to the classification of statistical and artificialintelligence …
S Samoili, ML Cobo, E Gómez, G De Prato… - 2020 - eprints.ugd.edu.mk
… a taxonomy for artificialintelligence (AI) and a list of related keywords, as an operational definition for AI in the framework … adopt, based on this review, a general definition of AI and we …
SK Singh, S Rathore, JH Park - Future Generation Computer Systems, 2020 - Elsevier
… We present the taxonomy of blockchain-driven AI for IoT with some specific categories … We described the review of existing research shown in Table 2, according to the proposed …
N Moustafa - Sustainable Cities and Society, 2021 - Elsevier
… testbed architecture of IoT network which can be used to evaluate ArtificialIntelligence (AI)-… The label attribute can be used when a binary classification model is used to classify normal …
… Secondly, we organize the existing literature under a goal-driven taxonomy. We further … for constructing in-distribution evaluation sets. Next, we will review representative methods for …