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Criminal Victimization and Legal Challenges of Migrants in Developed Countries: A Critical Analysis

Mirzayusup Rustambaev, Govkherjan Yuldasheva, Roza Azkhodjaeva, Asliddin Nuridullayev et al. • Qubahan Academic Journal (2026)

This article examines migrant victimization as a structural outcome of migration governance systems in developed countries. This study demonstrates that variations in enforcement intensity, labor-market segmentation, and procedural safeguar...

DOAJ Open Access (DOAJ) DOI: 10.48161/qaj.v6n1a2308

Empirical research on the evolution trend of heat and sentiment for emergencies

Shihong Wu, Wei Yu, Yanxia Zhao, Hongyan Li et al. • International Journal of Cognitive Computing in Engineering (2025)

Emergencies inflict heavy casualties, economic losses, ecological damage, and significant social harm to society. By segmenting information topics and analysing emotional shifts, we can identify corresponding real-world events and their imp...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijcce.2025.01.006

Determination of optimum segmentation parameter values for extracting building from remote sensing images

Aly M. El-naggar • Alexandria Engineering Journal (2018)

Lately, with progresses in remote sensing information techniques and the growingly and unprecedented uses of its uses, remote sensing became a science that cannot be dispensed with in most fields and ground object extraction has turned out ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2018.10.001

ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing

Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrate...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3715175

Social and Cultural Predicaments of Female-Headed Households Related to Charitable Institutions in Behbahan

Zohreh Freydoonian, Maryam Mokhtari, Siroos Ahmadi • مطالعات وقف و امور خیریه (2025)

Introduction The number of female-headed households has significantly increased worldwide. In Iran as well, these households now account for more than 14% of all families. Female heads of households are women who, due to reasons such as div...

DOAJ Open Access (DOAJ) DOI: 10.22108/ecs.2025.146464.1144

Nozzle atomizing performance evaluation in complex environment using residual atrous spatial pyramid network

Ya Yang, Chuanchang Li, Xiaonan Hou, Chunlei Wang et al. • AIP Advances (2022)

Conventional spray particle detection methods have disadvantages such as spray field interference, large subjective standard error, and an inability to specifically analyze the spray particle movement. Manual methods used the uniformity of ...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0083129

The Temporal-Based Forest Disturbance Monitoring Analysis: A Case Study of Nature Reserves of Hainan Island of China From 1987 to 2020

Han Xiao, Han Xiao, Xiaoqian Zhang, Xiaoqian Zhang et al. • Frontiers in Environmental Science (2022)

Forest disturbance monitoring can provide scientific data for the decision making and management of nature reserves. LandTrendr algorithm has been applied to identify forest disturbances on a long-time scale through appropriate segmentation...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2022.891752

Computational Adaptive Optics for HAR Hybrid Trench Array Topography Measurement by Utilizing Coherence Scanning Interferometry

Wenyou Qiao, Zhishan Gao, Qun Yuan, Lu Chen et al. • Sensors (2025)

High aspect ratio (HAR) sample-induced aberrations seriously affect the topography measurement for the bottom of the microstructure by coherence scanning interferometry (CSI). Previous research proposed an aberration compensating method usi...

DOAJ Open Access (DOAJ) DOI: 10.3390/s25134085

Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine Scales in Neotropical Savannas

Fernanda F. Ribeiro, Dar A. Roberts, Laura L. Hess, Frank W. Davis et al. • Remote Sensing (2020)

Regional maps of vegetation structure are necessary for delineating species habitats and for supporting conservation and ecological analyses. A systematic approach that can discriminate a wide range of meaningful and detailed vegetation cla...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs12111721

Mathematical Morphology

Laurent Alain Najman, Hugues Talbot • Wiley eBooks (2013)

Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, ...

OPENALEX DOI: https://doi.org/10.1002/9781118600788

DAF-UNet: Deformable U-Net with Atrous-Convolution Feature Pyramid for Retinal Vessel Segmentation

Yongchao Duan, Rui Yang, Ming Zhao, Mingrui Qi et al. • Mathematics (2025)

Segmentation of retinal vessels from fundus images is critical for diagnosing diseases such as diabetes and hypertension. However, the inherent challenges posed by the complex geometries of vessels and the highly imbalanced distribution of ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math13091454

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Mário João Fartaria, Tobias Kober, Cristina Granziera, Meritxell Bach Cuadra • NeuroImage: Clinical (2019)

Purpose: The goals of this study were to assess the performance of a novel lesion segmentation tool for longitudinal analyses, as well as to validate the generated lesion progression map between two time points using conventional and non-co...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2019.101938

Evaluating Urban–Rural Disparity of Public Facilities Provision in Chengdu–Chongqing: An Equity Index Approach with Multi-Source Data

Xuan Liu, Youxin Qian, Guohui Zhou, Guangyu Xu et al. • Systems (2026)

Urban–rural public facility disparity is a systemic challenge that reflects dysfunctional feedback loops within and across social and technical subsystems. Traditional administrative-unit-based analyses cannot capture such systemic alignmen...

DOAJ Open Access (DOAJ) DOI: 10.3390/systems14080903

A Deep Learning Harmonization of Multi-Vendor MRI for Robust Intervertebral Disc Segmentation

Chaewoo Kim, Sang-Min Park, Sanghoon Lee, Deukhee Lee • IEEE Access (2024)

Magnetic resonance imaging (MRI) provides enhanced soft tissue contrast and high spatial resolution. However, the relationship between intensity values among soft tissues in MRI is inconsistent, even when obtained under the same conditions ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3360272

Using an Inspired Quantum-Classical Sequential Neural Network to Segment Liver Tumor Images Accurately

Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering (2026)

Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202701_36.052

Pointwise Convolutional Neural Networks

Binh‐Son Hua, Minh-Khoi Tran, Sai-Kit Yeung • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2018)

Deep learning with 3D data such as reconstructed point clouds and CAD models has received great research interests recently. However, the capability of using point clouds with convolutional neural network has been so far not fully explored....

OPENALEX Open Access DOI: https://doi.org/10.1109/cvpr.2018.00109

Progress in neural networks

Omid M. Omidvar • Ablex Pub. Corp. eBooks (1991)

Receptive field calculus, Jan J. Koenderink visual reconstruction and data fusion, D. Suter visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib neural network for recovering observer m...

OPENALEX

Slimmable Neural Networks

Jiahui Yu, Linjie Yang, Ning Xu, Yang, Jianchao et al. • arXiv (Cornell University) (2018)

We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-efficiency trade-offs at runtime. Instead of training individua...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1812.08928