Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

“…Experimental results demonstrate that CSF-RTDNet achieves robust detection of red tides with complex boundaries and continuous temporal patterns, attaining an accuracy of 95.89%, precision of 93.03%, recall of 96.34%, and a Kappa coefficient of 0.95. …”
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Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects by Li Zhang, Xirui Li, Yange Sun, Yan Feng, Huaping Guo

“…These results demonstrate that the proposed approach not only enhances detection accuracy but also significantly improves the adaptability of the model to various defect patterns. By addressing the challenges of complex backgrounds and noise interference, this study provides a practical solution for industrial defect detection.…”
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Assessment of Habitat Suitability and Identification of Conservation Priority Areas for Endangered Marco Polo Sheep Throughout Khunjerab National Park (Pakistan) and Tashkurgan Nat... by Ishfaq Karim, Xiaodong Liu, Babar Khan, Tahir Kazmi

“…Spatial predictions were generated to map potential distribution zones, aiding conservation planning for this endangered species. …”
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Urban morphology dataset of Reunion Island based on the local climate zone classification using satellite imagery and GIS dataMendeley Data by Alexandre Lefevre, Bruno Malet-Damour, Fiona Benard, Harry Boyer, Garry Rivière

“…These high-risk areas should be identified and prioritized for climate mitigation strategies.Beyond UHI analysis, the dataset allows for the identification of land use patterns and urban growth trends by analyzing the spatial distribution of LCZ across the island. …”
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A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO₂ Data over Taiwan by Alyssa Valerio, Yi-Chun Chen, Chian-Yi Liu, Yi-Ying Chen, Chuan-Yao Lin

“…These results demonstrate the model’s robustness in capturing intra-seasonal patterns and nonlinear trends in NO₂ distribution. …”
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Unveiling the Synergies and Conflicts Between Vegetation Dynamic and Water Resources in China’s Yellow River Basin by Zuqiao Gao, Xiaolei Ju

“…This study systematically explores the patterns and interaction mechanisms of FVC and Wyield in the YRB, offering a theoretical basis for regional water management, ecological protection, and sustainable development.…”
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Using Plant DNA Barcodes and Functional Traits to Assess Community Assembly of Quercus Forests at Different Scales in the Semiarid Loess Plateau of China by YongFu Chai, TingTing Tian, Luyao Wang, Junxin Wei, Yao Xu, Peiliang Liu, Chengcheng Xiang, Ming Yue

“…Specifically, the scale dependency of assembly patterns in the shrub layer was more pronounced than in the tree layer for both functional and phylogenetic structures. …”
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Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management by F. Caldareri, N. Parrino, L. Balsamo, G. Dardanelli, S. Todaro, A. Sulli, A. Maltese

“…The systematic application of the Isoradiometric Method successfully characterized both natural variability patterns and anthropic impacts, providing quantitative baselines for interpreting Quaternary coastal processes while offering practical insights for shoreline monitoring and coastal management strategies. …”
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Fine-grained temporal population monitoring of a declining, critically endangered Hawaiian honeycreeper by Richard J. Camp, Chauncey K. Asing, Noah Hunt, Alex Wang, Chris Farmer, Lindsey Neitmann, Paul C. Banko

“…Our spatially explicit, model-based approach is applicable to a wide range of monitoring programs, particularly those with inconsistent, opportunistic spatial coverage.…”
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Tracking Nitrate Sources in the Lower Kagera River in the Lake Victoria Basin: Insights from Hydrochemistry, Isotopes, and the MixSIAR Model by Catherine Mathenge, Stephen Mureithi, Pascal Boeckx, Benjamin Nyilitya, Cargele Masso

“…Despite its considerable impact, there remains a lack of comprehensive understanding of nitrate sources and discharge patterns, particularly in the Lake Victoria basin of East Africa. …”
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Mycorrhizal and endophytic fungi structure forest below-ground symbiosis through contrasting but interdependent assembly processes by Mikihito Noguchi, Hirokazu Toju

“…When fine-root distributions were examined, ectomycorrhizal fungi tended to show stronger associations with background soil community structure and spatially autocorrelated patterns than other fungal guilds. …”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…In this study, a deep learning network, the Gaussian Noise Level Classification Network (GNLCN), is proposed to Classify noise levels in SEM images from 0.0000 to 0.0100, incremented by 0.001. A novel Hybrid Spatial State-Space Model (SSM) block is introduced which uniquely integrates a state-space model with Residual Squeeze-and-Excitation (SE) and other feature enhancement mechanisms to improve spatial feature extraction. …”
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Understanding local determinants of dengue: a geographically weighted panel regression approach in Yogyakarta, Indonesia by Marko Ferdian Salim, Tri Baskoro Tunggul Satoto, Danardono

“…Understanding its spatiotemporal patterns and determinants is crucial for effective prevention strategies. …”
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STNet: Prediction of Underwater Sound Speed Profiles with an Advanced Semi-Transformer Neural Network by Wei Huang, Junpeng Lu, Jiajun Lu, Yanan Wu, Hao Zhang, Tianhe Xu

“…Although measurement techniques provide a good accuracy, they are constrained by limited spatial coverage and require a substantial time investment. …”
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Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approach... by Tathagat Banerjee, Prachi Chhabra, Manoj Kumar, Abhay Kumar, Kumar Abhishek, Mohd. Asif Shah

“…To capture more prominent spatial-temporal patterns, we investigated hybrid networks, including NASNet with ANN, CNN, LSTM, and CNN-LSTM variants. …”
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Sociodemographic and regional differences in dietary climate impact: findings from Finnish population surveys by Laura Sares-Jäske, Tommi Härkänen, Heli Tapanainen, Merja Saarinen, Jani Salminen, Liisa Valsta, Laura Paalanen

“…Results of absolute and energy-adjusted climate impacts showed mainly similar patterns. Information on the differences between sociodemographic groups can be used when targeting policies concerning transition towards more climate-friendly diets to sociodemographic groups with high dietary climate impacts.…”
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Dynamic Monitoring of Goaf Stress Field and Rock Deformation Driven by Optical Diber Sensing Technology by Jing Chai, Zhe Yan, Yibo Ouyang, Dingding Zhang, Jianfeng Yang, Gaoyi Yang, Chenyang Ma

“…The developed stress inversion formula successfully predicted pressure distribution patterns within the goaf, achieving real-time monitoring capabilities. …”
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Coupled effects of solar illumination and phenology on vegetation index determination: an analysis over the Amazonian forests using the SuperDove satellite constellation by Lênio Soares Galvão, Caio Arlanche Petri, Ricardo Dalagnol

“…From the analysis of 15 sites distributed throughout the Amazon, our findings did not confirm patterns of large-scale greening at the end of the dry season. …”
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A novel on-line dual sensing system for soil property measurement and mapping by Rukayat Afolake Oladipupo, Muhammad Abdul Munnaf, Parsat Sanganta, Ajit Borundia, Abdul Mounem Mouazen

“…Validation between laboratory and on-line measured soil maps also shows quite comparable spatial distribution patterns. Therefore, the proposed dual on-line sensor system has a high potential to estimate and map within-field spatial distributions of soil fertility attributes including nitrate-N, offering a basis for sustainable management decisions for precision soil and crop management.…”
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Riesgo de contagio por COVID-19 en un entorno urbano (Málaga, noviembre del 2020) by Ángel Miramontes Carballada, Rubén Lois González, María Jesús Perles Roselló, Jesús Miranda Páez

“…Along with the analysis of the spatial distribution of cases and the presence of patterns and trends, aspects such as the analysis of population flows and movements, clinical, social and epidemiological vulnerability, or the socio-economic repercussions of the crisis have been addressed. …”
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