Results 91 to 100 of about 145,710 (264)

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

open access: yesAdvanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang   +6 more
wiley   +1 more source

A neural network prediction analysis of breakout continuous casting based on differential evolution (DE)

open access: yesMetalurgija, 2020
In order to predict the breakout of continuous casting accurately and timely, a breakout prediction neural network (BPNN) model based on differential evolution algorithm was proposed. Differential evolutionary algorithm is introduced to solve the problem
Y. R. Li, C. N. Zhang
doaj  

Asynchronous Channel Training in Multi-Cell Massive MIMO

open access: yes, 2017
Pilot contamination has been regarded as the main bottleneck in time division duplexing (TDD) multi-cell massive multiple-input multiple-output (MIMO) systems. The pilot contamination problem cannot be addressed with large-scale antenna arrays.
Jafarkhani, Hamid, Zou, Xun
core  

Enhancing Ion‐Electron Transport in Positive Electrode of Solid‐State Lithium Metal Batteries With Multifunctional Catholyte Made of Polymer Mixed Ionic‐Electronic Conductor PEDOT:PSSTFSI and Li3InCl6

open access: yesAdvanced Energy Materials, EarlyView.
A mixed ion‐electron conducting polymer binder, PEDOT:PSSTFSI, enhances both ionic and electronic transport in NMC‐based positive electrode composite (PEC) for ASSBs. Optimal polymer loading (0.33 wt.% in PEC) provides the most balanced transport, with an effective conductivities (σel/σion) ratio closest to unity, enabling high discharge capacity at 1 ...
Elina Nazmutdinova   +6 more
wiley   +1 more source

Examining the Impact of Row Planting on Labor Use for Sustainable Food Production Among Maize Farmers in Rural Ghana

open access: yesAgribusiness, EarlyView.
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah   +4 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann   +4 more
wiley   +1 more source

Minimum Error Entropy Algorithms with Sparsity Penalty Constraints

open access: yesEntropy, 2015
Recently, sparse adaptive learning algorithms have been developed to exploit system sparsity as well as to mitigate various noise disturbances in many applications.
Zongze Wu   +4 more
doaj   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

open access: yesAgribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone   +5 more
wiley   +1 more source

Adversarial defense for battery state-of-health prediction models

open access: yesICT Express
This study addresses the challenge of state of health (SOH) estimation for lithium-ion batteries using a generative graphical approach under adversarial conditions.
Masoumeh Mohammadi, Insoo Sohn
doaj   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

open access: yesAdvanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren   +6 more
wiley   +1 more source

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