Landslide Hazard Warning in Guangdong-Hong Kong-Macao Greater Bay Area Based on Historical Ranking Rainfall Threshold by JIN Yi, YU Haixia

“…Furthermore, the area under curve (AUC) value of the susceptibility model reaches as high as 0.973. In practical application during June 2018, the warning system accurately predicted 25 rainfall-induced landslide events, with 72% occurring in extremely high-risk warning zones and 28% in high-risk warning zones, validating the model's effectiveness. …”
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Bio-mediated CN cycling in serpentinites and the origin of life by S. Tenuta, K. A. Evans, S. M. Reddy, B. M. Tutolo, W. D. A. Rickard, D. W. Saxey

“…In this model, reduction of carbon and nitrogen is catalysed by copper, and previously undocumented nanolayers of silver within metallic copper may enhance catalytic properties in natural systems. …”
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Understanding interactive effects between habitat configuration and pesticide use for pollination: towards better informed landscape management by Swantje Gebhardt, Jerry van Dijk, Marjolein E. Lof, Martin J. Wassen, Martha Bakker

“…As current guidelines largely lack spatially-explicit measures, we suggest to direct future research and policies towards the underlying spatial processes and their facilitation on parcel, farm, and landscape scale.…”
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Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia by Richard G White, Virginia Bond, Peter J Dodd, Ben Marais, Helen Ayles, Emma J Murray, Kwame Shanaube, Albertus Schaap

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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…A contrast enhancement filter is applied to highlight key features, thereby improving the model’s learning and fault detection capability. The enhanced images are fed into a modified AlexNet model with three residual blocks to efficiently extract both spatial and temporal features from the CWT images. …”
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Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

“…For the extraction of glaciers with different scales, multiscale contextual information was represented through Atrous spatial pyramid pooling module. The predicted probability maps were first obtained. …”
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A Coordinated Allocation Method for Right-Turn Strategy at Signalized Intersections with Optimal Pedestrian and Vehicle Delays by Yu Bai, Wanyan Luo

“…With strict enforcement of pedestrian right of way at all intersections, the inappropriate right-turn resource allocation from a spatial and temporal perspective will lead to a reduction in the operational efficiency of the intersection. …”
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Density Dependence in Large Herbivores Inhabiting an Insular Nature Reserve by Cornelius J. Louw, Francesca Parrini, Jason P. Marshal

“…ABSTRACT While studies often focus on density‐dependent responses of ungulate populations to resource limitations at large spatial scales, the dynamics at smaller scales remain relatively unexplored. …”
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DMLU-Net: A Hybrid Neural Network for Water Body Extraction from Remote Sensing Images by Ziqiang Xu, Mingfeng Li, Haixiang Guo

“…The results show that the F1-scores of DMLU-net on the two datasets are 94.50% and 86.86%, and the IoU (Intersection over Union) values are 90.46% and 77.74%, both demonstrating the best performance. Notably, the model significantly reduces water boundary artifacts, and it improves overall prediction accuracy and small water body recognition, thus verifying its generalization ability and practical application potential in real-world scenarios.…”
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Design and parameter identification of the wireless torque test system for hybrid vehicles by LI Jie, ZHOU Yijian, GENG Chong, PANG Jinlu

“…These results validate the reliability of the test data and provide an effective data foundation for the accurate torque model prediction.…”
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An upscaling framework for estimating regional-scale fractional cover of Chinese fir (FCCF) by integrating UAV and satellite images by Houxi Zhang, Jianwei Cai, Minghui Cai, Xunlong Chen, Yiming Sun, Kun Chen, Shijiang Cao, Jianling Ren

“…Notably, models trained on coarse-resolution data achieve higher predictive accuracy and exhibit lower uncertainty. …”
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Geochemical Influences on Carbon Nanotubes Transport in Subsurface Environments: Integrating Millifluidics, Spectral Induced Polarization, and Machine Learning by Yixin Yang, Pengfei Liu, Kexin Chen, Sheng Zhou, Longlong Meng, Chi Zhang, Junnan Cao, Bate Bate

“…SIP detected real‐time retention by chargeability (R2 = 0.82–0.96), while a DNN decoded SIP signals to predict spatially resolved CNT deposition (R2 = 0.926), outperforming phenomenological Cole‐Cole modeling. …”
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Research on an Ecological Sensitivity Evaluation of Mountain-Type National Parks Under Multi-Modal Optimization: A Case Study of Shennongjia, China by Xingyu Zhou, Huan Huang, Shi Dai, Duanya Zheng, Jie Zhao

“…The results demonstrate that the refined data structure enhances terrain coupling accuracy by transitioning from “Vegetation Type—Runoff Coefficient” to “Vegetation Density—Runoff Coefficient” conversions, with the optimized model exhibiting superior sensitivity in spatial element identification. …”
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Attention-based generative adversarial networks for aquaponics environment time series data imputation by Keyang Zhong, Xueqian Sun, Gedi Liu, Yifeng Jiang, Yi Ouyang, Yang Wang

“…In the downstream experiments, we used ATTN-GAN and baseline models for data imputation, and predicted the imputed data, respectively. …”
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A Novel Lightweight Framework for Non-Contact Broiler Face Identification in Intensive Farming by Bin Gao, Yongmin Guo, Pengshen Zheng, Kaisi Yang, Changxi Chen

“…Experimental evaluations on a self-constructed dataset demonstrate that YOLO-IFSC achieves a mAP@0.5 of 91.5%, alongside a 40.8% reduction in parameters and a 24.2% reduction in FLOPs compared to the baseline, with a consistent real-time inference speed of 36.6 FPS. …”
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Synchronized Multi-Laser Powder Bed Fusion (M-LPBF) Additive Manufacturing: A Technique for Controlling the Microstructure of Ti–6Al–4V by Hamed Attariani, Shayna Renay Petitjean, Aaron Michael Niekamp

“…An anisotropic heat transfer model is employed to obtain the temporal/spatial temperature distributions and construct the solidification map for various process parameters, i.e., laser power, scanning speed, and the internal distance among lasers in the array. …”
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FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila. by Virginie Uhlmann, Pavan Ramdya, Ricard Delgado-Gonzalo, Richard Benton, Michael Unser

“…We show that this approach yields a more than 6-fold reduction in user intervention when compared with fully manual annotation and can be used to annotate videos with low spatial or temporal resolution for a variety of locomotor and grooming behaviors. …”
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Assessment of the Performance of SWOT for Observing the Static Ocean Topography by Bjarke Nilsson, Ole Baltazar Andersen, Per Knudsen

“…We observe a 50% reduction in variability of the static surface compared with Sentinel‐3, whilst resolving up to 36% shorter wavelengths (down to ∼8 km) compared to the current state‐of‐the‐art Hybrid23 MSS reference model. …”
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Characterising the spatio-temporal patterns of water quality parameters in the cradle of humankind world heritage site using Sentinel-2 and random forest regressor by Sinesipho Ngamile, Sinesipho Ngamile, Mahlatse Kganyago, Sabelo Madonsela, Sabelo Madonsela, Vuyelwa Mvandaba

“…IntroductionWater quality assessment is essential for monitoring and managing freshwater resources, particularly in ecologically and culturally significant areas like the Cradle of Humankind World Heritage Site (COHWHS). This study aimed to predict and map the spatio-temporal patterns of both optically and non-optically active water quality parameters within small inland water bodies located in the COHWHS.MethodsHigh-resolution Sentinel-2 Multispectral Instrument (MSI) satellite data and two random forest models (Model 1 [consisting of sensitive spectral bands] and Model 2 [consisting of spectral bands + indices]) were used alongside In-situ measurements of chlorophyll-a, suspended solids, dissolved oxygen (DO), pH, Temperature, and electrical conductivity (EC) were integrated to establish empirical relationships and assess spatial variability across high-flow and low-flow conditions.ResultsThe results indicated that DO could be predicted with the highest accuracy under low-flow conditions, followed by EC. …”
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Analysis of space solar array arc images based on deep learning techniques by Afaf M. Abd El-Hameed, Ahmed S. Farahat, Khaled Y. Youssef, M. Elfarran, I. M. Selim

“…Leveraging advanced Deep Learning (DL) methodologies, including Convolutional Neural Networks (CNN) and Transfer Learning, a robust predictive model has been developed to analyze arc behavior and identify defective cells based on image data. …”
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