[HTML][HTML] Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …
Effective and secure transmission of health information using advanced morphological component analysis and image hiding
The using morphological component analysis, deep learning, and steganography, this study
examines the secure transmission, identification, and validation of textual pictures via this …
examines the secure transmission, identification, and validation of textual pictures via this …
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 …
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
A database application of monitoring COVID-19 in India
V Pathania, SZD Babu, S Ahamad… - Artificial Intelligence on …, 2022 - Springer
A quick user-friendly application of any pandemic situation can reduce the huge value of
mortality with producing the graph of cases. Simple database application can make sense to …
mortality with producing the graph of cases. Simple database application can make sense to …
A scalable platform to collect, store, visualize and analyze big data in real-time
Examination and evaluation of sentiment The most popular area for dissecting and
extracting knowledge from communication data from many sources, such as Facebook …
extracting knowledge from communication data from many sources, such as Facebook …
Effective overview of different ML models used for prediction of COVID-19 patients
H Singh, BK Pandey, S George, D Pandey… - Artificial Intelligence on …, 2022 - Springer
The goal of this research is to see how well is a fast primary screening method for COVID-19
that relies only on cough sounds collected from 2200 clinically verified samples utilizing the …
that relies only on cough sounds collected from 2200 clinically verified samples utilizing the …
Optimized building extraction from high-resolution satellite imagery using deep learning
Building extraction is very essential in various urban dynamics like disaster management
and change detection, finding the estimated population, and so on. Building extraction from …
and change detection, finding the estimated population, and so on. Building extraction from …
Thingspeak-based environmental monitoring system using IoT
Environmental safety is a significant feature necessary for the healthy life style. Any
abnormality in the environment changes the atmospheric parameters such as humidity …
abnormality in the environment changes the atmospheric parameters such as humidity …
[Retracted] Intelligent Detection of Foreign Matter in Coal Mine Transportation Belt Based on Convolution Neural Network
G Ma, X Wang, J Liu, W Chen, Q Niu… - Scientific …, 2022 - Wiley Online Library
This paper applies the CenterNet target detection algorithm to the foreign object detection of
coal conveying belts in coal mines. Given the fast running speed of coal conveying belts and …
coal conveying belts in coal mines. Given the fast running speed of coal conveying belts and …
An image-based deep learning approach for personalized outfit selection
R Anand, V Nirmal, Y Chauhan… - 2023 10th International …, 2023 - ieeexplore.ieee.org
In today's world, population is immensely increasing day by day. This increasing population
has led to an increase in people's demand for modern fashion. From social media and …
has led to an increase in people's demand for modern fashion. From social media and …