Results 51 to 60 of about 13,719 (220)
Exact SOHS Decompositions of Trigonometric Univariate Polynomials with Gaussian Coefficients
Certifying the positivity of trigonometric polynomials is of first importance for design problems in discrete-time signal processing. It is well known from the Riesz-Fejéz spectral factorization theorem that any trigonometric univariate polynomial positive on the unit circle can be decomposed as a Hermitian square with complex coefficients.
Victor Magron +3 more
openaire +2 more sources
Accurate estimation of battery health is an effective means of improving the safety and reliability of electrical equipment. However, developing data-driven models to estimate battery state of health (SOH) is challenging when the amount of data is ...
Fang Guo +7 more
doaj +1 more source
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
Battery State-of-Health (SOH) estimation is of utmost importance for the performance and cost-effectiveness of electric vehicles. Incremental capacity analysis (ICA) has been ubiquitously used for battery SOH estimation.
Zhenpo Wang, Jun Ma, Lei Zhang
doaj +1 more source
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
This analysis develops a Coulomb-counting-based online state-of-health (SOH) estimator using detected partial discharge segments for an existing operational battery energy storage system (BESS).
Mirko Ledro +4 more
doaj +1 more source
Ocular and Systemic Findings in COL2A1 and COL11A1 Stickler Syndrome
ABSTRACT Stickler syndrome is most commonly caused by variants in COL2A1 and COL11A1 genes. The purpose of this study was to describe genetic variants and phenotypes in COL2A1 and COL11A1 Stickler syndrome. We performed a retrospective genotype–phenotype evaluation of COL2A1 and COL11A1 Stickler syndrome subjects. Thirty‐two subjects with COL2A1 and 13
Aileen G. MacLachlan +5 more
wiley +1 more source
Published as part of Schubart, Christoph D., Liu, Hung-Chang & Ng, Peter K. L., 2009, Revision of Selatium Serène & Soh, 1970 (Crustacea: Brachyura: Sesarmidae), with description of a new genus and two new species, pp.
Schubart, Christoph D. +2 more
openaire +2 more sources
ABSTRACT The role of academia in shaping the Sustainable Development Goals (SDGs) remains insufficiently understood. This study examines how SDG discourse is constructed within accounting and business research by integrating bibliometric analysis with a systematic review of 731 peer‐reviewed articles published between 2020 and 2024.
Silvia Panfilo +2 more
wiley +1 more source

