A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform

YYF Panduman, N Funabiki, ED Fajrianti, S Fang… - Information, 2024 - mdpi.com
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …

The Sustainability Concept: A Review Focusing on Energy

RN Muniz, CT da Costa Júnior, WG Buratto, A Nied… - Sustainability, 2023 - mdpi.com
The concept of sustainability, with a focus on energy, has emerged as a central tenet in
addressing the mounting global challenges of environmental degradation and resource …

Video-based human activity recognition using deep learning approaches

GAS Surek, LO Seman, SF Stefenon, VC Mariani… - Sensors, 2023 - mdpi.com
Due to its capacity to gather vast, high-level data about human activity from wearable or
stationary sensors, human activity recognition substantially impacts people's day-to-day …

Evaluation of visible contamination on power grid insulators using convolutional neural networks

MP Corso, SF Stefenon, G Singh, MV Matsuo… - Electrical …, 2023 - Springer
The contamination of insulators increases their surface conductivity, resulting in a higher
chance of shutdowns occurring. To measure contamination, equivalent salt deposit density …

Detection and classification of cracks and potholes in road images using texture descriptors

AMR Fernandes, MJ Cassaniga… - Journal of Intelligent …, 2023 - content.iospress.com
Traffic safety is directly affected by poor road conditions. Automating the detection of road
defects allows improvements in the maintenance process. The identification of defects such …

A deep learning-based approach for axle counter in free-flow tolling systems

BJ Souza, GK da Costa, AL Szejka, RZ Freire… - Scientific Reports, 2024 - nature.com
Enhancements in the structural and operational aspects of transportation are important for
achieving high-quality mobility. Toll plazas are commonly known as a potential bottleneck …

A Review of Automation and Sensors: Parameter Control of Thermal Treatments for Electrical Power Generation

WG Buratto, RN Muniz, A Nied, CFO Barros, R Cardoso… - Sensors, 2024 - mdpi.com
This review delves into the critical role of automation and sensor technologies in optimizing
parameters for thermal treatments within electrical power generation. The demand for …

Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks

AL Alencar, MD Lopes, AMR Fernandes, JCS Anjos… - Future Internet, 2024 - mdpi.com
In the current era of social media, the proliferation of images sourced from unreliable origins
underscores the pressing need for robust methods to detect forged content, particularly …

Optical Character Recognition Using Optimized Convolutional Networks*

A Nawaz, M Irfan, T Westerlund - 2023 Eighth International …, 2023 - ieeexplore.ieee.org
Optical Character Recognition (OCR) has been a prominent area of research in pattern
recognition for several decades, owing to its broad application potential in smart living. To …

Bootstrap aggregation with Christiano–Fitzgerald random walk filter for fault prediction in power systems

NW Branco, MSM Cavalca, RG Ovejero - Electrical Engineering, 2024 - Springer
The ability to predict and preempt insulator failures holds the potential to enhance the
reliability of electrical power grids. The increase in insulator leakage current is an indication …