… required, with advanced techniques that can … analysis of traffic incidents. In this paper, we
propose a smart methodological framework for traffic accident detection and condition analysis …

… First, we analyze research progress and identify potential … Second, we study preprocessing
techniques, such as data … Third, we discuss intrusion detection techniques and analyze their …

… The present article review the ongoing research work and future directions in fire flame and
smoke detection algorithms of all the categories mentioned above with their strengths and …

… algorithms to ITS applications is presented in this section. Section 6 discusses the findings
of the literature review. … models can achieve fast and reliable incident detection on freeways. …

… reviewed the trends and challenges of elderly fall detection and prediction. Detection techniques
… while predictive methods aim to forecast fall incidents before or during their occurrence, …

… with a primary focus on fall detection. Similarly, several studies are relatively old, with a …
research trends in fall detection and prevention systems using Machine Learning (ML) algorithms…

… Conclusions: This systematic review indicates that AI-enabled decision support systems,
when implemented correctly, can aid in enhancing patient safety by improving error detection, …

… One of the increasingly significant techniques is Machine Learning (ML), which … research
paper, we conduct a Systematic Literature Review (SLR) which analyzes ML models that detect …

… In this paper, the survey of intrusion detection using ML algorithm has been presented and
… in 5G network by using two –level deep learning algorithm. From the above literature survey…

… Hence, in this paper, we present a literature survey of event abstraction techniques … from
the existing literature, to provide an overview of event abstraction techniques, which additionally …