… ’s goal to establish smart cities is driving development of these … from cars and public
transportation to trash receptacles and … more training data to feed machine learning (ML) models …

… Bacon set out a process of discovery that would be largely driven by data, in which … data
mining and machine learning, is a classification problem. It comes from a study of geographical …

… Smart transportation In recent times traffic is one of the major … In paper [65,66|| authors
address the intrusion detection in … Baker, A mobile code-driven trust mechanism for detecting …

… machine learning to predict and research new materials.From the perspective of machine
learning … [18] Kang HH,Kaya M,Hajimirza SA data driven artificial neural network model for …

… This article is oriented to Sybil attacks in the Internet of … in machine learning is used to train
an intrusion detection model … Detection experiments show that the intrusion detection system …

… AI evaluation, such as neighborhood surveys, is being used to … observing, and transportation
frameworks are instances of … ing with information-driven learning and mining strategies. The …

… Malicious actors may leverage machine learning algorithms … security monitoring tools,
intrusion detection systems, and … A survey on automated dynamic malware analysis evasion …

… This study focuses on the specific applications of machine learning to the three fundamental
… the necessity of combining physical models with data-driven approaches. Accordingly, this …

… Host-based intrusion detection for VANETS: A statistical approach to rogue node …
Survey on misbehavior detection in cooperative intelligent transportation systems[J]. IEEE …

… Data science and its relationship to big data and data-driven … district heating systems: a
machine learning approach[C]// … Study on plug in electric vehicles charging load calculating[J]…