Current challenges and future perspectives associated with configuration of microbial fuel cell for simultaneous energy generation and wastewater treatment
Environmental eutrophication of untreated heavy wastewater by industries and urban
centers is a very serious concern for environmental protection agencies. Microbial Fuel Cell …
centers is a very serious concern for environmental protection agencies. Microbial Fuel Cell …
Artificial intelligence in predicting mechanical properties of composite materials
The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …
materials across multiple engineering disciplines. Recently, there has been substantial …
A systematic literature review of knowledge graph construction and application in education
B Abu-Salih, S Alotaibi - Heliyon, 2024 - cell.com
In the dynamic landscape of modern education, the search for improved pedagogical
methods, enriched learning experiences, and empowered educators remains a perpetual …
methods, enriched learning experiences, and empowered educators remains a perpetual …
Enhanced decision-making in healthcare cloud-edge networks using deep reinforcement and lion optimization algorithm
Addressing the limitations of traffic-centric approaches in cooperative cloud-edge networks,
this paper introduces an adaptive deployment strategy for FDNN using LOA. However, the …
this paper introduces an adaptive deployment strategy for FDNN using LOA. However, the …
Smart agriculture resource allocation and cost optimization using ML in cloud computing environment
In this research, resource allocation in machine learning is used to analyze how cloud
computing is being applied in smart agriculture. This chapter goes over the advantages of …
computing is being applied in smart agriculture. This chapter goes over the advantages of …
[HTML][HTML] Machine learning approach to optimal task scheduling in cloud communication
Cloud communication is a combination of distributed computing and parallel computing.
One of the biggest challenges in cloud communications is task scheduling, which is difficult …
One of the biggest challenges in cloud communications is task scheduling, which is difficult …
Lunar Lithium-7 Sensing (δ7Li): Spectral Patterns and Artificial Intelligence Techniques
J Fernandez, S Fernandez, E Diez, N Pinilla-Alonso… - Sensors, 2024 - mdpi.com
Lithium, a critical natural resource integral to modern technology, has influenced diverse
industries since its discovery in the 1950s. Of particular interest is lithium-7, the most …
industries since its discovery in the 1950s. Of particular interest is lithium-7, the most …
An innovative deep active learning approach for improving unlabeled audio classification by selectively querying informative instance
M Salama - International Journal of Engineering Business …, 2023 - journals.sagepub.com
Audio classification tasks like speech recognition and acoustic scene analysis require
substantial labeled data, which is expensive. This work explores active learning to reduce …
substantial labeled data, which is expensive. This work explores active learning to reduce …
Neural networks taking probability distributions as input: A framework for analyzing exchangeable networks
C Li, Y Liu, ZM Ma - Neurocomputing, 2024 - Elsevier
In recent years, exchangeable network structures that take datasets as input have been
widely used to obtain representations of various datasets. Although they perform well …
widely used to obtain representations of various datasets. Although they perform well …
Advancements in non-invasive microwave brain stimulation: A comprehensive survey
FES Pereira, SK Jagatheesaperumal, SR Benjamin… - Physics of Life …, 2024 - Elsevier
This survey provides a comprehensive insight into the world of non-invasive brain
stimulation and focuses on the evolving landscape of deep brain stim-ulation through …
stimulation and focuses on the evolving landscape of deep brain stim-ulation through …