Results 51 to 60 of about 14,747 (224)

NanoSentry: An Edge‐Deployable Unified Neural Architecture for Multi‐Domain Industrial Prognostics and Health Management

Artificial Intelligence for Engineering, EarlyView.
NanoSentry, a sub‐50 KiB unified architecture for multi‐domain prognostics, matches or outperforms models 4.5× $4.5\times $ larger across turbofan, battery, and bearing benchmarks while reducing end‐of‐life prediction error up to 5.8× $5.8\times $. Physical STM32H7 deployment confirms sub‐3 ms inference and up to 26 KiB peak SRAM without quantisation ...
Naem Azam Chowdhury, Abu Nasek, Khan Prottoy, Md Hamid Borkot Tulla, Jafor Sadik Chowdhury   +4 more
wiley   +1 more source

Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics about IIoT Platforms   

, 2021
This paper has been accepted and published as a Full Research Paper at the Wirtschaftsinformatik 2021 Conference in March 2021. The market for the Industrial Internet of Things (IIoT) platforms remains highly dynamic and is rapidly evolving regarding the
Herzwurm, Georg, Pantow, Katharina, Petrik, Dimitri, Zschech, Patrick   +3 more
core   +1 more source

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

CAAI 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, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Blockchain and Edge computing for Industrial Internet of Things (IIoT) Applications. [PDF]

, 2022
Today IIoT is widely used in a wide range of Internet applications for items outside the consumer space and the iot business market, such as the umbrella name for applications and case applications in many industrial sectors. The goal of this paper is to
Singh, Ankit, Raghav, Shekhar, Kumar, Ashish, Senger, Prashant Kumar, Senger Ashish, Shekhar Raghav, Ankit Singh, Kumar ,, Prashant Kumar   +8 more
core   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

IIoT-based Instrumentation and Control System for a Lateral Micro-drilling Robot Using Machine Fault Diagnosis and Failure Prognosis

, 2023
This project aimed to develop an instrumentation and control system for a micro-drilling robot based on Industrial Internet of Things (IIoT) technologies.
Jose A. Solorio Cervantes (11191893)
core   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Why Industrial Internet of Things Platforms Fail: A Structuration Theory Perspective on Platform Evolution

Journal of Product Innovation Management, EarlyView.
ABSTRACT Despite their transformative potential, Industrial Internet of Things (IIoT) platforms often fail to evolve into scalable ecosystems. Research on IIoT platforms attributes failure to discrete factors such as governance misalignment or technological complexity and rarely considers how failure unfolds.
Philipp Kernstock, Andreas Hein, Maximilian Schreieck, Helmut Krcmar   +3 more
wiley   +1 more source

Bi‐Model Deep Learning Architectures: A Systematic Review of Fusion Strategies and Design Taxonomies

Concurrency and Computation: Practice and Experience, Volume 38, Issue 21, November 2026.
ABSTRACT Bi‐model deep learning, the coordinated use of two complementary models or modalities, has emerged as a powerful paradigm for improving predictive accuracy and robustness in complex real‐world applications. However, existing research remains scattered across domain‐specific studies, with no unified account of the architectural patterns, fusion
Jasmin Z. K. Chu, Joel C. M. Than, Colin C. L. Tan, Ngoc Dinh Tan   +3 more
wiley   +1 more source

A Secure IIoT Gateway Architecture based on Trusted Execution Environments

, 2023
Industrial Internet of Things (IIoT) gateways are affected by many cybersecurity threats, compromising their security and dependability. These gateways usually represent single points of failure on the IIoT infrastructure.
Fröhlich, Antônio Augusto, Horstmann, Leonardo Passig, Conradi Hoffmann, Jose Luis, José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich   +5 more
core   +1 more source