Results 161 to 170 of about 3,032 (260)

Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation. [PDF]

PLoS One
Alemayehu B, Mishra S, Tejani GG, Tripathi S.   +3 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

An MILP approach for optimal operation of unbalanced distribution networks through coordinated network reconfiguration and SOP utilization. [PDF]

Sci Rep
Ayazi AM, Shakarami MR, Doostizadeh M, Namdari F, Nikzad MR.   +4 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering

Advanced Intelligent Systems, EarlyView.
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu, Chenggang Lu, Rui Zhang, Haijun Yan, Yesong Xu   +4 more
wiley   +1 more source

A High‐Voltage Membrane‐Free Li–Organic Hybrid Flow Battery Using Eutectic Lithium Chemistry

Angewandte Chemie, EarlyView.
A high‐voltage (3.6 V) membrane‐free Li–organic hybrid flow battery is enabled by a deep‐eutectic lithium electrolyte composed of trifluoroacetamide (TFAD) and LiPF6, paired with a dichloromethane (DCM) catholyte containing phenothiazine (PTZ). The TFAD/LiPF6 eutectic provides fast Li+ transport and stable Li‐metal cycling, while the immiscible TFAD ...
Xiao Wang, Bindu Dahal, Yuhang Tang, Jack J. McGrath, Rabin Siwakoti, Feng Wang, Jun Cheng, Jianbing “Jimmy” Jiang   +7 more
wiley   +2 more sources

Variable gradient-based phase locked loop for accurate frequency estimation of distorted grids. [PDF]

Sci Rep
Lei X, Hu X, Yang J, Li G, Dai Z, Wang G.   +5 more
europepmc   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

Inter-area minimisation of reactive power flow for voltage improvement in large electric grids. [PDF]

Sci Rep
Singh M, Negi W, Jadoun VK.
europepmc   +1 more source

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source