Results 61 to 70 of about 14,747 (224)

Retrieval‐Based Deep Hybrid Models for Robust Network Intrusion Detection

open access: yesSECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.
ABSTRACT A retrieval‐based deep hybrid model couples a learned encoder with a non‐parametric k‐nearest‐neighbors module that, at inference time, retrieves training records and conditions its predictions on the local neighborhood. Despite strong results on tabular benchmarks, such hybrids and several recent deep tabular architectures have not been ...
Bimal Parakkal   +2 more
wiley   +1 more source

Industrial Internet of Things (IIoT) Business Model Classification [PDF]

open access: yes, 2019
Currently, there is a mismatch between the potential and the reality of capturing value from the Industrial Internet of Things (IIoT). Furthermore, the lack of empirical guidance on appropriate IIoT business models isn’t helping to address this mismatch.
Baiyere, Abayomi   +4 more
core  

TrustSpec: Simulation‐Grounded Physics‐Driven Spectral Inversion With Uncertainty Quantification for SiC Epitaxial Thickness Metrology

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
TrustSpec reuses a single spectral digital twin both to train a deep ensemble and to verify each prediction via analysis‐by‐synthesis. A two‐channel trust plane automatically releases, reviews, or rejects every SiC epitaxial thickness reading, achieving 0.110 μm mean error with full out‐of‐distribution rejection in simulation.
Zijie Nie, Shunlin Yang, Qingjie Guo
wiley   +1 more source

Smart Link Adaptation and Scheduling for IIoT

open access: yesIEEE Networking Letters, 2022
A machine learning enabled link adaption (LA) and scheduling framework is presented for industrial Internet of things (IIoT), leveraging quasi-periodicity of traffic in IIoT. The following steps are introduced: i) a reduced complexity link establishment accounting jointly for beamforming and load management; ii) interference prediction using long short-
Miroslav Mitev   +5 more
openaire   +2 more sources

Digital Process Integration in Food Manufacturing: An Exploratory Study of the German Beverage Sector

open access: yesJournal of Food Process Engineering, Volume 49, Issue 10, October 2026.
This study provides an evidence‐based framework for prioritizing digital production functions in beverage manufacturing. The findings support strategic decision‐making by managers and identify machine–software integration as the major implementation challenge.
Matthias Staiger, Tobias Voigt
wiley   +1 more source

Secure Blockchain Middleware for Decentralized IIoT towards Industry 5.0: A Review of Architecture, Enablers, Challenges, and Directions

open access: yesMachines, 2022
Resilient manufacturing is a vision in the Industry 5.0 blueprint for satisfying sustainable development goals under pandemics or the rising individualized product needs. A resilient manufacturing strategy based on the Industrial Internet of Things (IIoT)
Jiewu Leng   +6 more
doaj   +1 more source

The Business Impact of IIoT Vulnerabilities.

open access: yes, 2021
Part of ISBN 9781733632577QC ...
Ebbers, Frank   +2 more
openaire   +2 more sources

MIINT: Middleware for IIoT Platforms Integration

open access: yes2021 IEEE Global Communications Conference (GLOBECOM), 2021
In the last recent years Internet of Things has extended its adoption to the industrial manufacturing field. The digitalization of industry brings the new concept of Industry 4.0 to light. In fact, the enormous value for the companies generated from the adoption of Industrial IoT and Edge Computing has led to a vertiginous increments of IIoT platform ...
Riccardo Venanzi   +3 more
openaire   +3 more sources

Драйвери експандера SPI IIOT-систем [PDF]

open access: yes, 2023
Запропонована структура апаратних і програмних драйверів спрямована на впровадження систем IIoT на платформі модуля WiFi. Драйвер дозволяє більше комплексне використання обчислювальної потужності модуля WiFi шляхом розширення Шина ...
Олександренко, М. П.   +1 more
core   +1 more source

LiBrain: LLM‐powered Li‐ion battery diagnostics with time‐series‐aware retrieval‐augmented framework for E‐bikes

open access: yesAI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract The rapid proliferation of smart‐city ecosystems has significantly amplified the demand for Li‐ion batteries, which now serve as the primary energy source for sustainable transportation systems such as e‐bikes. Ensuring battery safety and optimal performance is crucial, yet challenging due to complex intrinsic dynamics and extrinsic operating ...
Zhao Li   +3 more
wiley   +1 more source

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