[HTML][HTML] Internet of things with deep learning techniques for pandemic detection: A comprehensive review of current trends and open issues
Technological advancements for diverse aspects of life have been made possible by the
swift development and application of Internet of Things (IoT) based technologies. IoT …
swift development and application of Internet of Things (IoT) based technologies. IoT …
[HTML][HTML] Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites
Owing to the absence of scientific methods for predicting nanocomposites' wear rates, a
freshly updated machine learning method that uses an Artificial Protozoa Optimizer (APO) to …
freshly updated machine learning method that uses an Artificial Protozoa Optimizer (APO) to …
Intrusion detection: a comparison study of machine learning models using unbalanced dataset
The worldwide process of converting most activities of both corporate and non-corporate
entities into digital formats is now firmly established. Machine learning models are …
entities into digital formats is now firmly established. Machine learning models are …
Associations between fear of COVID-19 and mental health in Ghana: A sequential mediation model
Introduction Although the coronavirus disease 2019 (COVID-19) pandemic has ceased
globally, individuals may still suffer from various psychological burdens in the post-COVID …
globally, individuals may still suffer from various psychological burdens in the post-COVID …
[HTML][HTML] Environmental impacts of economic growth: A STIRPAT analysis using machine learning algorithms
This study examines the environmental consequences of economic growth using four key
dimensions–carbon dioxide emissions, freshwater availability, forest area and biodiversity …
dimensions–carbon dioxide emissions, freshwater availability, forest area and biodiversity …
White shark optimizer via support vector machine for video-based gender classification system
Gender identification from videos is a challenging task with significant real-world
applications, such as video content analysis and social behavior research. In this study, we …
applications, such as video content analysis and social behavior research. In this study, we …
Assessing Data-Driven of Discriminative Deep Learning Models in Classification Task Using Synthetic Pandemic Dataset
Deep learning models' exploration of synthetic data has been comparatively understudied
compared to other areas of research. This paper proposes an assessment of discriminative …
compared to other areas of research. This paper proposes an assessment of discriminative …
Deep Learning Techniques for Oral Cancer Detection: Enhancing Clinical Diagnosis by ResNet and DenseNet Performance
This study aims to enhance the accuracy and efficiency of oral cancer diagnosis through the
application of deep learning techniques in medical image analysis. The research employs …
application of deep learning techniques in medical image analysis. The research employs …
[PDF][PDF] An Empirical Assessment of Discriminative Deep Learning Models for Multiclassification of COVID-19 X-rays
The current era of pandemic and infectious diseases demands contemporary technologies
across many industries. Modern inventions and technology have advanced significantly …
across many industries. Modern inventions and technology have advanced significantly …
Telecommunication Customer Churn with Responsible AI: A Predictive Model Debugging and Business Decision Making
Customer churn means a customer stop doing business with telecommunication, that is not
using the service of the company again after using it for a specific period. Acquiring new …
using the service of the company again after using it for a specific period. Acquiring new …