Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in
the timely detection of any infectious disease (IDs) and is essential to the management of …
the timely detection of any infectious disease (IDs) and is essential to the management of …
[HTML][HTML] Reusing personal protective equipment and waste plastics in biofuel production and use in diesel engines: Priority for the COVID-19 pandemic
Over a million annual deaths from COVID-19, a disease caused by the acute respiratory
distress disease corona virus-2 (SARS-CoV-2), have spread across the globe. Researchers …
distress disease corona virus-2 (SARS-CoV-2), have spread across the globe. Researchers …
A novel method for Indoor Air Quality Control of Smart Homes using a Machine learning model
Smart buildings are one of the areas of interest for researchers today and are of special
importance in large buildings. Air quality control in buildings is one of the crucial issues in …
importance in large buildings. Air quality control in buildings is one of the crucial issues in …
A novel investigations on medical and non-medical mask performance with influence of marine waste microplastics (polypropylene)
The entire human race is struggling with the spread of COVID-19. Worldwide, the wearing of
face masks is indispensable to prevent such spread. Despite numerous studies reporting on …
face masks is indispensable to prevent such spread. Despite numerous studies reporting on …
Big Data Analytics Using Artificial Intelligence
Data analytics using artificial intelligence is the process of leveraging advanced AI
techniques to extract insights and knowledge from large and complex datasets [1]. This …
techniques to extract insights and knowledge from large and complex datasets [1]. This …
Image-based security techniques for water critical infrastructure surveillance
Security-related image analysis of critical infrastructures involves using advanced
technologies to analyze visual data to identify potential threats, vulnerabilities, or abnormal …
technologies to analyze visual data to identify potential threats, vulnerabilities, or abnormal …
Mask detection and classification in thermal face images
Face masks are recommended to reduce the transmission of many viruses, especially SARS-
CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type …
CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type …
EmpTurnoverML: An Efficient Model for Employee Turnover and Customer Churn Prediction Using Machine Learning Algorithms
DS AbdElminaam, M Maged, MK Mousa… - 2023 International …, 2023 - ieeexplore.ieee.org
Employee turnover and customer churn a significant challenges for organizations
worldwide. The loss of employees can significantly impact the company's growth and …
worldwide. The loss of employees can significantly impact the company's growth and …
Application of Object Mask Detection Using the Convolution Neural Network (CNN)
M Yanto, EN Novri - Jurnal RESTI (Rekayasa Sistem dan …, 2023 - jurnal.iaii.or.id
Abstract The spread of Coronavirus Disease (Covid-19) is still a serious problem that we are
currently facing. Spread occurred very quickly through the face-to-face interaction process …
currently facing. Spread occurred very quickly through the face-to-face interaction process …
Mlhandwrittenrecognition: Handwritten digit recognition using machine learning algorithms
F Essam, H Samy, J Wagdy - Journal of Computing and …, 2023 - journals.ekb.eg
Handwritten digit recognition has remained a topic of interest to computer vision scientists.
Its origination precedes the emergence of the machine as it is a crucial component of the …
Its origination precedes the emergence of the machine as it is a crucial component of the …