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Promoting Geography for Sustainability

Bojie Fu • Geography and sustainability (2020)

The discipline of geography encompasses both natural and social sciences and has the natural advantage of enabling the study of sustainability from a transdisciplinary perspective. There are great opportunities for geographers to participat...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.geosus.2020.02.003

How to measure consumer's inconsistency in sensory testing?

László Sipos, Kolos Csaba Ágoston, Péter Biró, Sándor Bozóki et al. • Current Research in Food Science (2025)

Consumer sensory testing is the basis for determining directions of product development in the food industry. However, while compliance assessment by trained and expert assessors is well developed, few information is available on testing co...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.crfs.2025.100982

TransCat: a hybrid CNN-transformer network with KAN for medical image segmentation

Jin Wang, Zhenghua Yang, Dongming Zhou, Dongming Zhou et al. • Frontiers in Bioinformatics (2026)

Medical image segmentation is a fundamental task in computer vision and plays an important role in clinical diagnosis and treatment planning. Existing methods are mainly built on either convolutional neural networks (CNNs) or Transformer-ba...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbinf.2026.1849059

Soft–Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal

Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis • IEEE Access (2026)

Effective shadow removal is pivotal in enhancing visual image quality in applications such as computer vision and digital photography. During the last decades physics-based and machine learning methodologies have been proposed; however, mos...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3728048

<i>H<sup>2</sup>A<sup>2</sup></i>Net: A Hybrid Convolution and Hybrid Resolution Network with Double Attention for Hyperspectral Image Classification

Hao Shi, Guo Cao, Youqiang Zhang, Zixian Ge et al. • Remote Sensing (2022)

Deep learning (DL) has recently been a core ingredient in modern computer vision tasks, triggering a wave of revolutions in various fields. The hyperspectral image (HSI) classification task is no exception. A wide range of DL-based methods ...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs14174235