Current challenges and future perspectives associated with configuration of microbial fuel cell for simultaneous energy generation and wastewater treatment

M Hassan, S Kanwal, RS Singh, MA SA… - International Journal of …, 2023 - Elsevier
Environmental eutrophication of untreated heavy wastewater by industries and urban
centers is a very serious concern for environmental protection agencies. Microbial Fuel Cell …

Artificial intelligence in predicting mechanical properties of composite materials

F Kibrete, T Trzepieciński, HS Gebremedhen… - Journal of Composites …, 2023 - mdpi.com
The determination of mechanical properties plays a crucial role in utilizing composite
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 …

Enhanced decision-making in healthcare cloud-edge networks using deep reinforcement and lion optimization algorithm

SS Saranya, P Anusha, S Chandragandhi… - … Signal Processing and …, 2024 - Elsevier
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 …

Smart agriculture resource allocation and cost optimization using ML in cloud computing environment

P Singh, M Kansal, M Srivastava… - Convergence of Cloud …, 2023 - igi-global.com
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 …

[HTML][HTML] Machine learning approach to optimal task scheduling in cloud communication

FS Alsubaei, AY Hamed, MR Hassan, M Mohery… - Alexandria Engineering …, 2024 - Elsevier
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 …

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 …

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 …

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 …

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 …