Results 161 to 170 of about 111,415 (271)

Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review

open access: yesSystems Engineering, EarlyView.
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso   +4 more
wiley   +1 more source

Maximizing the Economic, Environmental, and Social Impact of the Metaverse

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT The metaverse is a transformative digital ecosystem with the potential to redefine economic, environmental, and social systems. This qualitative study examines how the metaverse and its enabling technologies—such as AR/VR, blockchain, and AI—might evolve to influence sustainability. Drawing on semi‐structured interviews with global experts and
Alessandro Lanteri   +2 more
wiley   +1 more source

An intelligent cyber security phishing detection system using deep learning techniques. [PDF]

open access: yesCluster Comput, 2022
Mughaid A   +5 more
europepmc   +1 more source

The Role of User Behaviour in Improving Cyber Security Management. [PDF]

open access: yesFront Psychol, 2021
Moustafa AA, Bello A, Maurushat A.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao   +3 more
wiley   +1 more source

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