Usability guideline for Mobile learning applications: an update
Sign Up to like & getrecommendations! Published in 2019 at "Education and Information Technologies"
DOI: 10.1007/s10639-019-09937-9
Abstract: Mobile learning application developers have to overcome inherent limitations imposed by mobile devices in order to produce usable applications. There are usability guidelines available to assist in the design process but with technological improvements, these… read more here.
Keywords: learning applications; mobile learning; usability guideline; usability ... See more keywords
Machine learning applications for electrospun nanofibers: a review
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Materials Science"
DOI: 10.1007/s10853-024-09994-7
Abstract: Electrospun nanofibers have gained prominence as a versatile material, with applications spanning tissue engineering, drug delivery, energy storage, filtration, sensors, and textiles. Their unique properties, including high surface area, permeability, tunable porosity, low basic weight,… read more here.
Keywords: properties electrospun; learning applications; machine learning; electrospun nanofibers ... See more keywords
Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Materials Chemistry A"
DOI: 10.1039/d4ta06740a
Abstract: This review provides an overview of machine learning (ML) workflows in MOFs. It discusses three rational design methods, focusing on future challenges and opportunities to enhance understanding and guide ML-based MOF research. read more here.
Keywords: learning applications; machine learning; comprehensive overview; design ... See more keywords
A review of machine learning applications in polymer composites: advancements, challenges, and future prospects
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Materials Chemistry A"
DOI: 10.1039/d5ta00982k
Abstract: Machine learning (ML) is revolutionizing the development and optimization of polymer composites by enabling data-driven insights into material design, manufacturing processes, and property prediction. Polymer composites, widely used in aerospace,... read more here.
Keywords: applications polymer; learning applications; machine learning; polymer composites ... See more keywords
Using HPC infrastructures for deep learning applications in fusion research
Sign Up to like & getrecommendations! Published in 2021 at "Plasma Physics and Controlled Fusion"
DOI: 10.1088/1361-6587/ac0a3b
Abstract: In the fusion community, the use of high performance computing (HPC) has been mostly dominated by heavy-duty plasma simulations, such as those based on particle-in-cell and gyrokinetic codes. However, there has been a growing interest… read more here.
Keywords: learning applications; infrastructures deep; deep learning; fusion ... See more keywords
Machine learning and applications in microbiology
Sign Up to like & getrecommendations! Published in 2021 at "FEMS Microbiology Reviews"
DOI: 10.1093/femsre/fuab015
Abstract: ABSTRACT To understand the intricacies of microorganisms at the molecular level requires making sense of copious volumes of data such that it may now be humanly impossible to detect insightful data patterns without an artificial… read more here.
Keywords: microbiology; learning applications; machine learning; applications microbiology ... See more keywords
Machine learning applications in smart logistics: analysing barriers for future practices
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Engineering, Design and Technology"
DOI: 10.1108/jedt-03-2024-0137
Abstract: Purpose Although there are studies analyzing barriers related to new technological concepts, it turns out that there are only a few studies on barriers to machine learning (ML) applications, and none of them consider the… read more here.
Keywords: smart logistics; learning applications; industry; machine learning ... See more keywords
A Novel Technique to Support Deep Learning Applications in a Model-Based Embedded Software Design Methodology
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3281913
Abstract: As deep learning applications are getting popular in embedded systems, how to support deep learning applications in the model-based embedded software design methodology becomes a challenging problem. A previous solution is to represent each deep… read more here.
Keywords: software; methodology; support deep; learning applications ... See more keywords
Forensic Examination of Drones: A Comprehensive Study of Frameworks, Challenges, and Machine Learning Applications
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3426028
Abstract: Unmanned Aerial Vehicles (UAVs) have evolved into necessary assets across various sectors, motivating a need for strong controllability technologies in applications like flight path enhancement and avoiding obstacles. This survey offers a comprehensive exploration of… read more here.
Keywords: challenges machine; learning applications; machine; machine learning ... See more keywords
Machine learning applications in epilepsy
Sign Up to like & getrecommendations! Published in 2019 at "Epilepsia"
DOI: 10.1111/epi.16333
Abstract: Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recognition, language processing, and data mining,… read more here.
Keywords: applications epilepsy; machine; learning applications; machine learning ... See more keywords
Data science, learning, and applications to biomedical and health sciences
Sign Up to like & getrecommendations! Published in 2017 at "Annals of the New York Academy of Sciences"
DOI: 10.1111/nyas.13309
Abstract: The last decade has seen an unprecedented increase in the volume and variety of electronic data related to research and development, health records, and patient selfâtracking, collectively referred to as Big Data. Properly harnessed, Big… read more here.
Keywords: big data; learning applications; science learning; data science ... See more keywords