… Before it ceased its operation, CIMI (Computer Interchange of Museum Information), had
created the Handscape initiative in order to study the existing and possible applications of …

… 第四版談及的另一個發展是機器學習(machine learning).在 第一版時已有研究提到此概念,現在
它獲得正式名稱,意指通過 演算法讓機器取代人工進行的文本編碼.但機器替代人工識別文 本特徵…

… and encouragement as a review committee member; to the GIS team at Academia Sinica
for the support of this research; and to all the seniors and study participants for sharing their …

… Machine learning fied. Then the authors systematically study the three primary technology
Machine learn… In the end, an analysis of this survey, security issues solved by the ML, AI, and …

… Renewable energy assisted function splitting in cloud radio access networks[J]. Mobile
Networks and … A novel deep learning driven low-cost mobility prediction approach for 5G cellular …

… the radio access network (RAN). This issue increases the need for leveraging intelligent
network management techniques. Thanks to edge computing, ML-based network management …

… a practical network architecture, and then build different applications … study also proposes
solutions for 5G radio access networks (5G RAN), the 5G core network (5G CN) via P4 network …

… In this paper, the authors have identified machine learning as a solution to address some
of the … the implementation platform available for the integration of IoTwith machine learning. …

… Security frameworks, for instance, the transmission of tactile sensors, are vast knowledge
applications from the other city to the board. A CP vision deep learning estimation for the …

… This study uses both federated learning and machine learning … learning is an innovative
approach to machine learning that allows multiple parties to collaborate on a machine learning …