F Su, J Yuan - … Network. Testo disponibile al sito …, 2022 - europeanleadershipnetwork.org
… ‘The integration of AI, machinelearning, and big data analytics can significantly improve the ability of nuclear warfare systems to locate, track, target, and destroy an enemy’s nuclear …
… in wirelesssensornetworks, underwater sensornetworks have become a new hot research area. Underwater sensornetworks … tasks such as oceanographic data collection, pollution …
MA Mahfouz, SM Mosaad, MA Belal - 西南交通大学学报 - researchgate.net
… business risk factors in a range of industrial sectors [1]. This study uses both federated learning and machinelearning … an ad hoc wirelesssensornetwork in which multiple sensor nodes …
MV Rao, DA Reddy, A Ampavathi… - … and Machine Learning …, 2022 - Wiley Online Library
… for sensornetwork applications. According to the scheme, important studies can generally be categorized into classes: observable model-based … detection in wirelesssensornetworks. …
… that performs instance decision making and reduces unnecessary datatransfer to the cloud, … Jain, Machinelearningbasednetwork vulnerability analysis of industrial internet of things, …
… Things (IoT), predictive analytics, and machinelearning has ushered in a … data from IoT sensors and satellites, applies predictive analytics, and harnesses the power of machinelearning …
… propose the security architecture of sensornetworks in this paper, … intrusion-tolerant routing in wirelesssensornetworks In: Proc. of … areas are computer networks and machinelearning. …
OFCMRUD LEARNING, M BOLHASSANI - 2021 - polen.itu.edu.tr
… years and a spike in data availability [6]. Therefore, the DL-based methods, eventually, outperformed … Thus, in this work, we focus on applying deeplearning methods to medical image …
… Therefore, this study aims to develop a deeplearning-based identification and prediction method for machining inspection. This method is implemented in two tasks that are typical in …