Results 51 to 60 of about 9,353 (203)

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

CAAI 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, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Computational Fluid Dynamics Analysis into the Comparison of Resistance Characteristics Between DARPA Suboff and Modified U209 Types of Submarines

Sci
Submarines are required to have good performance, which is influenced by their type of hull, hull conditions, and operational conditions. This study compares the resistance between a Modified-U209 (U209) submarine and the DARPA Suboff.
Ahmad Nasirudin, Sutiyo, Ardi Nugroho Yulianto, Eko Julianto, I Ketut Aria Pria Utama, Martin Renilson   +5 more
doaj   +1 more source

A Neuromorphic System for Video Object Recognition

Frontiers in Computational Neuroscience, 2014
Automated video object recognition is a topic of emerging importance in both defense and civilian applications. This work describes an accurate and low-power neuromorphic architecture and system for real-time automated video object recognition.
Deepak eKhosla, Yang eChen, Kyungnam eKim   +2 more
doaj   +1 more source

New Challenges for European Space Industrial Policy

Global Policy, EarlyView.
ABSTRACT The European space industry is globally competitive but faces challenges due to fragmented governance, reliance on commercial markets, and increased international competition. The European Union (EU) has become a major stakeholder in this sector, with a ‘fragmented institutional market’ shaped by policies, initiatives and programmes at ...
Sara Dalledonne, Justine Dousset, Marco Aliberti   +2 more
wiley   +1 more source

Does AI Affect the Democratic Conduct of War? Analyzing US and Israeli Military AI Deployment

Global Policy, EarlyView.
ABSTRACT This study examines how the use of decision‐support military Artificial Intelligence (AI) systems can affect the democratic conduct of warfare. AI can challenge the democratic conduct of warfare by introducing systemic risks such as reduced oversight, opacity, and automation bias.
Alessandra Russo
wiley   +1 more source

Golden weapons and golden fetters: From the gold standard to the new geopolitics

The Economic History Review, EarlyView.
Abstract This paper explores the historical relationship between monetary regimes, security concerns, and geopolitical tensions, particularly focusing on the role of gold. Throughout history, monetary systems have been deeply intertwined with international state systems and security provisions.
Harold James
wiley   +1 more source

Vem var far till min farfars mor Hulda Cecilia Lindström?

Släkthistoriska Studier
Min farfars mormor Ida Augusta Lindström blev gravid sommaren 1885 då hon bodde och jobbade som piga på gården Älgstorp i Höre­da socken utanför Eksjö. Hon födde, utom äktenskapet, dottern Hul­da Cecilia den 13 mars året därpå.
Jonas Magnusson
doaj   +1 more source

Automation and Augmentation in Theological Perspective

Modern Theology, EarlyView.
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley   +1 more source

Hydrodynamic parameter estimation of DARPA SUBOFF using dynamic pitch maneuver

Journal of Engineering and Applied Science
The DARPA SUBOFF model is widely used for studying underwater vehicle performance, and many researchers have explored its behavior through experiments and simulations.
Imran Mushtaque, Adil Loya, Antash Najib, Guogang Ren, Jason Knight, Abbas Hussain   +5 more
doaj   +1 more source

Explainable AI (XAI) for Object Detection and Application to Satellite Imagery

IEEE Access
Explainability is critical to the wider deployment of deep learning models. And especially so in view of the worldwide effort to regulate AI with laws that impose a requirement for transparency in AI systems.
Asim Roy, Kedar D. Gaikwad, Atharva J. Hude, Jay S. Shinde, Jaykumar Parekh, Hriday R. Nagrani   +5 more
doaj   +1 more source