The emergence of the Internet of Things (IoT) and related technologies has enabled the development of smart automated highway lighting systems that can dynamically control illumination levels based on real-time data. This paper provides a comprehensive review of the current state-of-the-art in ...
BEAM IoT was born as an integrator of the data required for complete “remote reading” and “remote management” of the field equipment in the gas, water, and electricity domains. It was subsequently extended to environmental management (waste collection and delivery, street sweeping) a...
The software which will be installed on the Raspberry Pi to automate the hydroponic system is a free and open source software package I’ve developed,Mycodo, which is essentially a universal tool for environmental measuring, monitoring, and manipulation, andhas been used for a number of interesti...
Such an approach is not recommended for the identification of individuals belonging to a certain species, as it can cause significant reduction in the system's robustness. On the one hand, there is no possibility to filter out potential object localization errors by subsequent algorithms. On the ...
Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting
Automated smart irrigation system using IoT with sensor parameter. Int. J. Adv. Res. Sci. Eng. 2022, 11, 543–549. [Google Scholar] Balasubramanian, A.; Elangeswaran, S. A novel power aware smart agriculture management system based on rnn-lstm. J. Ambient Intell. Humaniz. Comput. 2024...
Figure 3. The framework of the proposed system for detection of PPE using PPE_Swin based on S-A-M. In this study, both training and testing are conducted using the proposed PPE_Swin architecture for anchor-free object detection, specifically for personal protective equipment (PPE) detection....
The portability and affordability of these sensors makes it possible to develop a real-time sidewalk condition monitoring system that incorporates the personal characteristics of pedestrians. A few studies have been conducted on using machine learning techniques for sidewalk assessment utilizing smartphone ...
Some [31] employed DL to detect and eliminate such images (especially road surfaces with no cracks) from a database of 9712 images acquired using a mobile mapping system, to reduce the street view image database size for further processing. The NVIDIA Deep Learning GPU Training System (DIGITS...
(2) Methods: Using a Comparative Automated Content Analysis (ACA) approach, the article compares recent scientific work on sustainable development and the fourth industrial revolution with the discourse in the news media on sustainable development and industry 4.0. (3) Results: The scientific ...