Abstract In the age of smart cities, it is envisioned that most processes within the smart city context will be smart and automated. This includes smart houses, smart kitchens, etc. […]
Abstract Smart city challenges, like increased traffic, the risk to public safety, effective law enforcement, and the smart environment challenges improving personalized services such as health care and home environment
Face Recognition: Challenges and Issues in Smart City/Environments Read More »
Abstract In order to realize the application of face recognition technology in the public service of smart cities, this paper proposes a novel application method of face recognition technology based
Abstract Modern smart city projects are evolving to the next level of data-centric situation awareness and decision makings, thereby requiring much intensive data integration over various data sources made from
Making IoT Data Ready for Smart City Applications Read More »
Abstract The purpose of this research is to create an environmental recognition system, specifically on emotion expressions and human states, for a humanoid robot aiming for interpersonal services. Region Convolutional
Environment Recognition Using Robot Camera Read More »
Abstract With the deepening of ocean development, the tasks that underwater vehicles need to perform are more complex. Shared control provides a reliable scheme for robots to accomplish these tasks
Development and Control of a Humanoid Underwater Robot Read More »
Abstract Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of
Pymoo: Multi-Objective Optimization in Python Read More »
Abstract This paper reports on the results of a developing Python-MATLAB interface program to implement an optical wireless communication system simulation. We implement a Python interface for entering input values
Abstract In this article, we propose a blind wideband signal detection algorithm to detect and locate occupied channels in cellular bands without a priori knowledge of the band channelization. This
Blind Signal Detection in Cellular Bands Read More »
Abstract The auxiliary classifier can improve the performance of classification networks. However, the utility of the auxiliary detection head has not been explored in the object detection field. In this
Auxiliary Detection Head for One-Stage Object Detection Read More »
