Results 81 to 90 of about 72,164 (263)

Geometry Sampling-Based Adaption to DCGAN for 3D Face Generation

open access: yesSensors, 2023
Despite progress in the past decades, 3D shape acquisition techniques are still a threshold for various 3D face-based applications and have therefore attracted extensive research.
Guoliang Luo   +8 more
doaj   +1 more source

Water‐Wave Pancharatnam‐Berry Phase Induced by 4D Spin‐Orbit State Evolution

open access: yesAdvanced Science, EarlyView.
The first observation of the Pancharatnam‐Berry (PB) phase in water waves is reported, revealing its extraordinary properties including unbounded phase values, spin‐momentum‐locked unidirectional channels, and a Poincaré hypersphere representation. These findings demonstrate the universality of the PB phase across different wave systems and in higher ...
Wanyue Xiao   +3 more
wiley   +1 more source

A Novel Address-Matching Framework Based on Region Proposal

open access: yesISPRS International Journal of Geo-Information
Geocoding is a fundamental component of geographic information science that plays a crucial role in various geographical studies and applications involving text data. Current mainstream geocoding methods fall into two categories: geodesic-grid prediction
Yizhuo Quan   +4 more
doaj   +1 more source

Polishing trajectory planning method for optimal removal of full surface

open access: yesAdvances in Mechanical Engineering, 2022
Optical free-form surface elements have better optical characteristics than traditional optical elements, but their more complex curved structure also increases the difficulty of optical processing.
Yuanxun Cao   +4 more
doaj   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang   +5 more
wiley   +1 more source

Attention-Guided Multi-Scale Segmentation Neural Network for Interactive Extraction of Region Objects from High-Resolution Satellite Imagery

open access: yesRemote Sensing, 2020
Automatic extraction of region objects from high-resolution satellite imagery presents a great challenge, because there may be very large variations of the objects in terms of their size, texture, shape, and contextual complexity in the image.
Kun Li   +4 more
doaj   +1 more source

The Analysis of the Structure of Scientific Collaboration Networks in Basic Medical Sciences in the Science Citation Index from 1996 to 2013 [PDF]

open access: yesبازیابی دانش و نظام‌های معنایی, 2016
The present study aimed to determine the levels of Iranian collaboration and to analyze scientific collaboration network in the area of basic medical sciences, in the Science Citation Index from 1996 to 2013.
Asghar Sattarzadeh   +2 more
doaj   +1 more source

Initial Condition Assessment for Reaction-Diffusion Glioma Growth Models: A Translational MRI-Histology (In)Validation Study

open access: yesTomography, 2021
Reaction-diffusion models have been proposed for decades to capture the growth of gliomas. Nevertheless, these models require an initial condition: the tumor cell density distribution over the whole brain at diagnosis time. Several works have proposed to
Corentin Martens   +10 more
doaj   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet   +9 more
wiley   +1 more source

Some fixed-point theorems for a pair of Reich-Suzuki-type nonexpansive mappings in hyperbolic spaces

open access: yesTopological Algebra and its Applications, 2023
In this article, we prove some fixed-point results for a pair of Reich-Suzuki-type nonexpansive mappings in uniformly convex WW-hyperbolic spaces. We introduce a new iterative scheme and establish its convergence to the fixed points of a pair of Reich ...
Valappil Sreya Valiya   +1 more
doaj   +1 more source

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