Results 91 to 100 of about 21,750 (271)

Optimization and Benchmarking of Lightweight Neural Networks for Efficient Embedded AI Deployment

Engineering Reports, Volume 8, Issue 5, May 2026.
A hardware‐aware optimization and benchmarking framework for lightweight neural networks is presented for deployment on heterogeneous embedded platforms including CPU, GPU, TPU, and MCU architectures. Model compression techniques such as quantization, pruning, knowledge distillation, and mixed‐precision computation reduce inference latency, memory ...
Vidapankal Mohammad Fridous, Abhishek Agarwal, K. B. Bhaskar, V. Nandagopal, N. Sivakamasundari   +4 more
wiley   +1 more source

A Blockchain‐Less Traceability System for Agriculture Using DAG, IPFS, and Serverless Deployments

International Journal of Network Management, Volume 36, Issue 3, May/June 2026.
ABSTRACT Ensuring transparency and integrity in agricultural data management is a critical challenge as the sector increasingly relies on advanced technologies. The primary problem is maintaining data traceability and security throughout the supply chain.
Antonio Villafranca, Igor Tasic, Victor Gallegos, Almudena Gimenez, Jesus Ochoa Rego, Juan Antonio Fernandez, Maria‐Dolores Cano   +6 more
wiley   +1 more source

Indoor Localization of Industrial IoT Devices and Applications Based on Recurrent Neural Networks

Journal of Communications Software and Systems
Industrial Internet of Things (IIoT) has become an indispensable element of smart industrial facilities, predicted to continue to grow at a rapid rate. Wireless technologies have become a standard part of today’s industrial facilities with applications ...
Ivan Marasović, Goran Majić, Ivan Škalic, Željka Tomasović   +3 more
doaj   +1 more source

Zero-Day Guardian: A Dual Model Enabled Federated Learning Framework for Handling Zero-Day Attacks in 5G Enabled IIoT

IEEE transactions on consumer electronics
5G emerges as the bedrock for the Industrial Internet of Things (IIoT), it facilitates the seamless, low-latency fusion of artificial intelligence and cloud computing, thereby fortifying the entire industrial procedure within a framework of smart and ...
Priyanka Verma, Nitesh Bharot, John G. Breslin, Donna O’Shea, Ankit Vidyarthi, Deepak Gupta   +5 more
semanticscholar   +1 more source

Integration of deep learning and IIoT for automated soil moisture management in precision agriculture

Soil Science Society of America Journal, Volume 90, Issue 3, May/June 2026.
Abstract The rapid evolution of Industry 4.0 has led to the adoption of Industrial Internet of Things (IIoT) in various sectors, including manufacturing and smart agriculture. The integration of real‐time monitoring, predictive analytics, and intelligent decision‐making has transformed the large‐scale smart agriculture into a data‐driven and automated ...
Ayesha Ahmed Dhool, Arshad Aziz, Muhammad Usama, Nazik Alturki, Nada Alasbali, Mujeeb Ur Rehman   +5 more
wiley   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

Predictive maintenance of electric drives based on IIoT and Random Forest

Transportation and Information Technologies in Russia
Background. With the growing fleet of electric vehicles and increasing demands for their reliability, the task of transitioning from scheduled maintenance to predictive maintenance based on actual component condition becomes urgent.
Ramil N. Safiullin, Alexey G. Isavnin
doaj   +1 more source

Industrial Internet of Things (IIOT)

International Journal for Research in Applied Science and Engineering Technology
: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature ...

semanticscholar   +1 more source

A Review on Quantitative Process Analytical Technology for Continuous Downstream Processing of Monoclonal Antibodies

Biotechnology and Bioengineering, Volume 123, Issue 3, Page 564-581, March 2026.
ABSTRACT The competition in the biopharmaceutical market is increasing due to the market entry of biosimilars and rising costs in research and development of new drugs. Hence, continuous manufacturing gained significant attention due to its potential in reducing production cycle times and costs, as well as the possibility of real‐time release testing ...
Mariana Carvalho, Ana Cruz, Cees Haringa, Marcel Ottens, Marieke Klijn   +4 more
wiley   +1 more source

Ennakoivan huollon IIoT-sovellus Koskisen Oy lastulevylinjalle [PDF]

, 2020
Opinnätetyössä tutkittiin teollista esineiden internetiä (IIoT) ja IIoT-arkkitehtuuria tuotantodatan viemiseksi IIoT-järjestelmään. Työssä tutkittiin tarkemmin kahden eri valmistajan, Siemensin, ja Beckhoffin tekniikoita ja teollisia komponentteja ...
Hurskainen, Timi
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