Global market and economic analysis of microalgae technology: Status and perspectives

PL Show - Bioresource Technology, 2022 - Elsevier
Microalgae have been a promising alternative source of high-value compounds to replace
the non-sustainable fossil fuels resource. The recent research development of algae-based …

Federated learning for edge computing: A survey

A Brecko, E Kajati, J Koziorek, I Zolotova - Applied Sciences, 2022 - mdpi.com
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …

[PDF][PDF] Exploring the benefits and challenges of AI-language learning tools

RRF De la Vall, FG Araya - International Journal of Social …, 2023 - researchgate.net
AI language learning tools are computer programs or software applications that use artificial
intelligence (AI) algorithms to help users learn and improve their skills in a foreign language …

[HTML][HTML] Effect of varying training epochs of a faster region-based convolutional neural network on the accuracy of an automatic weed classification scheme

OG Ajayi, J Ashi - Smart Agricultural Technology, 2023 - Elsevier
Site-specific weed detection and management is a crucial approach for crop production
management and herbicide contamination mitigation in precision agriculture. With the …

Machine learning in project analytics: a data-driven framework and case study

S Uddin, S Ong, H Lu - Scientific Reports, 2022 - nature.com
The analytic procedures incorporated to facilitate the delivery of projects are often referred to
as project analytics. Existing techniques focus on retrospective reporting and understanding …

Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications

D Mennickent, A Rodríguez, MC Opazo… - Frontiers in …, 2023 - frontiersin.org
Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

Features and Scope of Regulatory Technologies: Challenges and Opportunities with Industrial Internet of Things

J Li, A Maiti, J Fei - Future Internet, 2023 - mdpi.com
Regulatory Technology (RegTech) is an emerging set of computing and network-based
information systems and practices intended to enhance and improve regulatory compliance …

On the move-sensitive fluorescent aptassay on board catalytic micromotors for the determination of interleukin-6 in ultra-low serum volumes for neonatal sepsis …

J Gordón, L Arruza, MD Ibáñez, M Moreno-Guzmán… - ACS …, 2022 - ACS Publications
A graphene oxide/nickel/platinum nanoparticle micromotor (MM)-based fluorescent
aptassay is proposed to determine interleukin-6 (IL-6) in serum samples from low-birth …

Artificial Intelligence Methods for the Construction and Management of Buildings

S Ivanova, A Kuznetsov, R Zverev, A Rada - Sensors, 2023 - mdpi.com
Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …

The advanced design of bioleaching process for metal recovery: A machine learning approach

P Mokarian, I Bakhshayeshi, F Taghikhah… - Separation and …, 2022 - Elsevier
Huge masses of waste containing hazardous but often valuable metals are being produced
worldwide. Recycling these wastes is necessary because mineral deposits are being …