Amir H. Alavi

TL;DR: An integrated fog and cloud computing framework is introduced to overcome the limitations of real-time analytics, latency and network congestion of basic cloud services for traffic monitoring and the results show the efficiency of the fog network in improving the performance of the cloud platform in terms of reducing the response time and increasing the bandwidth.

TL;DR: In this article, the authors present an interesting venue for control and manipulation of architected structures using metamaterials, which have opened an exciting venue for controlling and manipulating of architectural structures.

TL;DR: The authors would like to correct errors in the original publication as detailed below: Since the lower bound of the plate thickness (t) is defined in Sect.

TL;DR: The proposed 1D-CNN-LSTM method exhibits superior performance in comparison with existing deep learning methods in terms of accuracy and computation time and makes it a promising tool for real-time crack detection.

TL;DR: The krill herd KH algorithm, as a new metaheuristic optimisation, is developed to solve truss optimisation problems and its performance is further compared with various classical and advanced algorithms.