In this paper, we propose a real-time online shopper behavior analysis system consisting of
two modules which simultaneously predicts the visitor's shopping intent and Web site …

Safety ranks the first in Air Traffic Management (ATM). Accurate trajectory prediction can
help ATM to forecast potential dangers and effectively provide instructions for safely …

The growing popularity of microservices has led to the proliferation of online cloud service-
based applications, which are typically modelled as Directed Acyclic Graphs (DAGs) …

The increasing aviation activities pose a challenge to ensure a safe and orderly flight.
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …

This paper proposed a multimodal fusion between brain and peripheral signals for emotion
detection. The input signals were electroencephalogram, galvanic skin resistance …

Early purchase prediction plays a vital role for an e-commerce website. It enables e-
shoppers to enlist consumers for product suggestions, offer discount and for many other …

This paper develops a framework to learn and predict design commands based upon
building information modeling (BIM) event log data stored in Autodesk Revit journal files …

Botnets have become major engines for malicious activities in cyberspace nowadays. To
sustain their botnets and disguise their malicious actions, botnet owners are mimicking …

Research into session-based recommendation systems (SBSR) has attracted a lot of
attention, but each study focuses on a specific class of methods. This work examines and …

Sažetak To improve and enhance the predictive ability of consumer purchasing behaviours
on e-commerce platforms, a new method of predicting purchasing behaviour on e …