6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
Application of ensemble machine learning approach to assess the factors affecting size and polydispersity index of liposomal nanoparticles
Liposome nanoparticles have emerged as promising drug delivery systems due to their
unique properties. Assessing particle size and polydispersity index (PDI) is critical for …
unique properties. Assessing particle size and polydispersity index (PDI) is critical for …
Machine learning-based boosted regression ensemble combined with hyperparameter tuning for optimal adaptive learning
Over the past couple of decades, many telecommunication industries have passed through
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …
Predictive estimation of optimal signal strength from drones over IoT frameworks in smart cities
The integration of drones, the Internet of Things (IoT), and Artificial Intelligence (AI) domains
can produce exceptional solutions to today complex problems in smart cities. A drone, which …
can produce exceptional solutions to today complex problems in smart cities. A drone, which …
Automating the modular construction process: A review of digital technologies and future directions with blockchain technology
Modular integrated construction (MiC) method has come to limelight in recent years due to
its enormous potentials. Although several digital tools and technologies (DTT) have been …
its enormous potentials. Although several digital tools and technologies (DTT) have been …
On the use of wavelet domain and machine learning for the analysis of epileptic seizure detection from EEG signals
Epileptic patients suffer from an epileptic brain seizure caused by the temporary and
unpredicted electrical interruption. Conventionally, the electroencephalogram (EEG) signals …
unpredicted electrical interruption. Conventionally, the electroencephalogram (EEG) signals …
Development of a multilayer perceptron neural network for optimal predictive modeling in urban microcellular radio environments
Modern cellular communication networks are already being perturbed by large and steadily
increasing mobile subscribers in high demand for better service quality. To constantly and …
increasing mobile subscribers in high demand for better service quality. To constantly and …
Standard propagation channel models for MIMO communication systems
The field of wireless communication networks has witnessed a dramatic change over the last
decade due to sophisticated technologies deployed to satisfy various demands peculiar to …
decade due to sophisticated technologies deployed to satisfy various demands peculiar to …
Application of cell-free massive MIMO in 5G and beyond 5G wireless networks: A survey
In recent times, the rapid growth in mobile subscriptions and the associated demand for high
data rates fuels the need for a robust wireless network design to meet the required capacity …
data rates fuels the need for a robust wireless network design to meet the required capacity …