Smart city trends: A focus on 5 countries and 15 companies

JH Kim - Cities, 2022 - Elsevier
Smart city services offer effective solutions to urban problems. Thus, many countries are
introducing smart city services, and some companies are entirely focused on developing the …

Artificial intelligence model for monitoring biomass growth in semi-batch Chlorella vulgaris cultivation

AP Peter, KW Chew, A Pandey, SY Lau, S Rajendran… - Fuel, 2023 - Elsevier
There is a great demand for a clean, economical, and long-term energy source, due to the
depletion of fossil fuels. Large-scale production of microalgae biomass for biofuel production …

Improving the generalization of visual classification models across IoT cameras via cross-modal inference and fusion

QL Guan, Y Zheng, L Meng, LQ Dong… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The performance of visual classification models across Internet of Things devices is usually
limited by the changes in local environments, resulted from the diverse appearances of the …

[HTML][HTML] Combining Machine Learning and Edge Computing: Opportunities, Challenges, Platforms, Frameworks, and Use Cases

P Grzesik, D Mrozek - Electronics, 2024 - mdpi.com
In recent years, we have been observing the rapid growth and adoption of IoT-based
systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine …

Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions

A Ożadowicz - Computers, 2024 - mdpi.com
Smart home and building systems are popular solutions that support maintaining comfort
and safety and improve energy efficiency in buildings. However, dynamically developing …

[HTML][HTML] Multiclass image classification using gans and cnn based on holes drilled in laminated chipboard

G Wieczorek, M Chlebus, J Gajda, K Chyrowicz… - Sensors, 2021 - mdpi.com
The multiclass prediction approach to the problem of recognizing the state of the drill by
classifying images of drilled holes into three classes is presented. Expert judgement was …

[HTML][HTML] Dew-based offline computing architecture for healthcare IoT

K Medhi, N Ahmed, MI Hussain - ICT Express, 2022 - Elsevier
Due to the resource-constraint nature and lack of lightweight computing solutions for
diagnostic devices in healthcare IoT, provisioning time-critical responses is still challenging …

Research on Industrial Production Defect Detection Method Based on Machine Vision Technology in Industrial Internet of Things.

L Jia, Y Wang - Traitement du Signal, 2022 - search.ebscohost.com
The realization of automatic operation of production by the industrial Internet of Things
needs the functional assistance of machine vision technology. Different from the recognition …

[PDF][PDF] Study and Analysis of RPL Performance Routing Protocol Under Various Attacks

A Krari, A Hajami, E Jarmouni - … on Technical and Physical Problems of …, 2021 - iotpe.com
RPL is a proactive protocol based on a distance vector algorithm with robust routing
capability but has baseline security features. These essential security properties can …

Oil spill detection system in the arabian gulf region: An azure machine-learning approach

S Almeer, F Albalooshi… - … Conference on Innovation …, 2021 - ieeexplore.ieee.org
Locating oil spills is a crucial portion of an effective marine contamination administration. In
this paper, we address the issue of oil spillage location exposure within the Arabian Gulf …