Results 171 to 180 of about 56,912 (284)

Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution. [PDF]

Brain Inform
Cheng YS, Zhao R, Wang H, Peng H, Chrzanowski W, Cai W.   +5 more
europepmc   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Volumetric localization microscopy with deep learning. [PDF]

Nat Commun
Han K, Hua X, Qi T, Gao Z, Wang X, Jia S.   +5 more
europepmc   +1 more source

Engineered Carbon Dots as Multifunctional Nanoplatforms for Next‐Generation High‐Performance Advanced Batteries

Carbon Energy, EarlyView.
Herein, we mainly summarize the characteristics of the main types of carbon dots (CDs), analyze the strategies for improving advanced batteries' performance via incorporating CDs, comprehensively summarize recent applications of CDs in the main components (electrode, electrolyte, and separator) of advanced batteries, and propose the technical ...
Chuang Jiang, Jinlong Feng, Zhenjie Liu, Ming Jia, Qingxi Hou, Wei Liu   +5 more
wiley   +1 more source

2D-to-3D Image Reconstruction in Agriculture: A Review of Methods, Challenges, and AI-Driven Opportunities. [PDF]

Sensors (Basel)
Sankaramaddi HR, Lee WS, Kim K, Hong Y.
europepmc   +1 more source

High‐Energy‐Density Redox Flow Batteries: Mechanisms, Design Strategies, and Recent Progress

Chemistry – A European Journal, EarlyView.
ABSTRACT The inherent intermittency of energy sources such as solar and wind power hinders the transition to renewable energy, necessitating advanced energy storage solutions. Enhancing energy density is crucial for lowering system costs and enabling large‐scale deployment.
Xiaolian Zhao, Jiaxin Yu, Nannan Jia, Chuzhang Hong, Yue Luo, Wantong Jing, Zhiming Feng, Xinhua Liu, Rui Tan   +8 more
wiley   +1 more source

Efficient Mesh Reconstruction and Texturing of Oracle Bones. [PDF]

Sensors (Basel)
De S.
europepmc   +1 more source

Variable Temperature Studies of Two Calcium Uranates α‐Ca3UO6 and Ca2UO5

Chemistry – A European Journal, EarlyView.
The structures and thermal responses of the calcium uranates α‐Ca3UO6 and Ca2UO5 were investigated using in situ synchrotron x‐ray diffraction and neutron powder diffraction. Despite the very similar chemical compositions, the structural response of the two calcium uranates is shown to be complex and varied.
Maria K. Nicholas, Timothy A. Ablott, Caleb J. Bennett, Bryce G. Mullens, Helen E. Maynard‐Casely, Wen Liang Tan, Jeremy L. Wykes, Yingjie Zhang, Brendan J. Kennedy   +8 more
wiley   +1 more source

Exploring the 3D architecture of brain tissue using digital holographic microscopy. [PDF]

Biomed Opt Express
Scheidt D, Arzola AV, García LDC, Rámirez CN, Amunts K, Axer M.   +5 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source