Results 91 to 100 of about 3,793,287 (374)

Modulating Electrochemical CO2 Reduction Pathways via Interfacial Electric Field

open access: yesAdvanced Functional Materials, EarlyView.
Engineering interfacial electric fields in Cu/ITO electrodes enables precise control of CO2 reduction pathways. Charge transfer from Cu to ITO generates positively charged Cu species that steer selectivity from ethylene toward methane. This work demonstrates how interfacial electric‐field modulation can direct reaction intermediates and transform ...
Mahdi Salehi   +7 more
wiley   +1 more source

Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

open access: yesBig Data Mining and Analytics
Using skeletal information to model and recognize human actions is currently a hot research subject in the realm of Human Action Recognition (HAR). Graph Convolutional Networks (GCN) have gained popularity in this discipline due to their capacity to ...
Zhiyun Zheng   +4 more
doaj   +1 more source

Service Management for IoT: Requirements, Taxonomy, Recent Advances and Open Research Challenges

open access: yesIEEE Access, 2019
The exponential growth in the number of smart devices connected to the Internet of Things (IoT), and associated with various IoT-based smart applications and services, raises interoperability challenges which could affect the sustainability of IoT ...
Abdelmuttlib Ibrahim Abdalla Ahmed   +6 more
doaj   +1 more source

Nature‐Inspired Sustainable Cooling for Photovoltaics with Enhanced Temperature‐Salinity Dynamics

open access: yesAdvanced Functional Materials, EarlyView.
Addressing solar panel overheating, a nature‐inspired cooling system mimicking ocean currents is developed. A moisture‐absorbing solution layer uses sunlight, radiative cooling, and moisture processes to create temperature/salinity gradients, accelerating circulation. The prototype cools panels by up to 18.2 °C under sunlight, sustains cooling, rapidly
Fuxiang Li   +7 more
wiley   +1 more source

Improving Embeddings Representation via QED Approach for Enhancing Graduate on Time and Employability Prediction

open access: yesInternational Journal of Computational Intelligence Systems
Embeddings have been widely implemented with Large Language Models in various domains to enhance Machine Learning models prediction compared to existing encoding methods.
Theng-Jia Law   +4 more
doaj   +1 more source

Temporal enhanced sentence-level attention model for hashtag recommendation

open access: yesCAAI Transactions on Intelligence Technology, 2018
Hashtags of microblogs can provide valuable information for many natural language processing tasks. How to recommend reliable hashtags automatically has attracted considerable attention.
Jun Ma   +4 more
doaj   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Cost-Efficient and Quality of Experience-Aware Provisioning of Virtual Machines for Multiplayer Cloud Gaming in Geographically Distributed Data Centers

open access: yesIEEE Access, 2019
Prompted by the remarkable progress in both cloud computing and GPU virtualization, cloud gaming has become increasingly more popular in the gaming industry.
Yongqiang Gao, Lin Wang, Jiantao Zhou
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Actual Trends of Cloud Computing and Technologies in Optimization of Data Storage

open access: yesЦифрова платформа: інформаційні технології в соціокультурній сфері, 2020
The purpose of the article is to investigate and consider the general trends, problems and prospects of using cloud computing and technologies in data processing, in particular optimization of their storage. The research methodology consists of semantic
Olha Tkachenko   +2 more
doaj   +1 more source

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