Results 41 to 50 of about 111,415 (271)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Symmetric Encryption Algorithms in a Polynomial Residue Number System
In this paper, we develop the theoretical provisions of symmetric cryptographic algorithms based on the polynomial residue number system for the first time. The main feature of the proposed approach is that when reconstructing the polynomial based on the
I. Yakymenko +3 more
doaj +1 more source
Why We Cannot (Yet) Ensure the Cybersecurity of Safety-Critical Systems [PDF]
There is a growing threat to the cyber-security of safety-critical systems. The introduction of Commercial Off The Shelf (COTS) software, including Linux, specialist VOIP applications and Satellite Based Augmentation Systems across the aviation ...
Johnson, Christopher W.
core
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Manet: motion-aware network for video action recognition
Video action recognition is a fundamental task in video understanding. Actions in videos may vary at different speeds or scales, and it is difficult to cope with a wide variety of actions by relying on a single spatio-temporal scale to extract features ...
Xiaoyang Li +4 more
doaj +1 more source
N-Trans: Parallel Detection Algorithm for DGA Domain Names
Domain name generation algorithms are widely used in malware, such as botnet binaries, to generate large sequences of domain names of which some are registered by cybercriminals.
Cheng Yang +4 more
doaj +1 more source
Cyber Security Awareness Among College Students [PDF]
This study reports the early results of a study aimed to investigate student awareness and attitudes toward cyber security and the resulting risks in the most advanced technology environment: the Silicon Valley in California, USA.
A Moallem +4 more
core +2 more sources
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source
Temporal action proposal generation in an untrimmed video is very challenging, and comprehensive context exploration is critically important to generate accurate candidates of action instances. This paper proposes a Temporal-aware Attention Network (TAN)
Yanyan Jiao +4 more
doaj +1 more source

