Abstract With the development of a Software-defined Network (SDN), there will be a large number of devices to access the network, which may cause an incalculable burden to the communication […]
Abstract Within the next decade, the need for automation, intelligent data handling and pre-processing is expected to increase in order to cope with the vast amount of information generated by
Hacking the AI – the Next Generation of Hijacked Systems Read More »
Abstract With the development of society, the number of the archive is increasing day by day. The transmission of the archive is a heavy work that archive staff must face
A Full-Automatic Archive Management Robot Read More »
Abstract To guarantee that ships can navigate safely, the International Maritime Organization mandates that all ships navigating internationally must install the automatic identification system (AIS). AIS works in the very
Study of an Evaluation Model for AIS Receiver Sensitivity Measurements Read More »
Abstract Application of artificial intelligence and Zen space in modern landscape design and topology optimization is studied in this manuscript. With the rapid development of the big data technology, simple
Abstract The Poppy Project aims to offer a platform accessible to beginners and experts, allowing robots to be used in multiple fields, including research and teaching. During the work with
Control Library modification to improve robot interaction with its environment Read More »
Abstract Modular reconfigurable robots are touted for their flexibility, as their bodies can assume a wide range of shapes. A particular challenge is to make them move efficiently in 3D
Abstract When deep learning models classify the actual data and outlier data, most of them do not have enough information about the outlier, which might cause misclassification. Therefore, there is
Visualization Techniques for Outlier Data Read More »
Abstract The use of lower precision has emerged as a popular technique to optimize the compute and storage requirements of complex deep neural networks (DNNs). In the quest for lower
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks Read More »
Abstract With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning
Performance Analysis of Distributed and Scalable Deep Learning(DL) Read More »
