Automated Shoreline Segmentation in Satellite Imagery Using USV Measurements by Antoni Jaszcz, Marta Włodarczyk-Sielicka, Andrzej Stateczny, Dawid Połap, Ilona Garczyńska

“…Based on the height values of the mapped points, the image is segmented. Finally, post-processing methods and the k-NN algorithm are introduced, resulting in a complete binary shoreline segmentation mask. …”
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Quantitative evaluation of flood extent detection using attention U-Net case studies from Eastern South Wales Australia in March 2021 and July 2022 by Falah Fakhri, Ioannis Gkanatsios

“…Sentinel-1 (S1) ground range detected (GRD) and single look complex (SLC) descending track of the pre-and post-event on the 12th and 24th of March 2021, have been pre-processed, coincide with labels area of the flood extension have been carefully delineated to feed the model. …”
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Coronary artery disease classification using ConvMixer based classifier from CT angiography images by C. Rajeev, Karthika Natarajan

“…This may potentially decrease the number of people who receive invasive coronary angiography images. Lastly, post-image analysis was conducted using DL heat maps to understand the decisions made by the proposed model. …”
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Enhanced Isolation Forest-Based Algorithm for Unsupervised Anomaly Detection in Lidar SLAM Localization by Guoqing Geng, Peining Wang, Liqin Sun, Han Wen

“…Lidar SLAM (simultaneous localization and mapping) systems provide vehicles with high-precision maps and localization for environmental perception. …”
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Lightweight faster R-CNN for object detection in optical remote sensing images by Andrew Magdy, Marwa S. Moustafa, Hala M. Ebied, Mohamed F. Tolba

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Rapid Assessment of Building Losses in the M6.8 Tingri Earthquake, Tibet, China by Hao Zheng, Jifu Liu, Jidong Wu, Lianyou Liu, Peijun Shi

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Hyper-realistic and interactive three-dimensional visualization: Holy Chamber and Jewels of the Cathedral of Oviedo by Julio Ruiz, Luis Rovés, Ángel García Voces

“…The New developments in 3D data registration and post processing have enabled us to obtain models whose final design means a qualitative step in order to reach a much more realistic viewing of them for both cases: sculptures and architectural monuments. …”
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Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus. by Giuseppe Maulucci, Ermanno Cordelli, Alessandro Rizzi, Francesca De Leva, Massimiliano Papi, Gabriele Ciasca, Daniela Samengo, Giovambattista Pani, Dario Pitocco, Paolo Soda, Giovanni Ghirlanda, Giulio Iannello, Marco De Spirito

“…On these grounds, the measurement of RBC membrane fluidity alterations can furnish a more sensitive index in T1DM diagnosis and disease progression than Glycosylated hemoglobin (HbA1c), which reflects only the information related to glycosylation processes. Here, through a functional two-photon microscopy approach we retrieved fluidity maps at submicrometric scale in RBC of T1DM patients with and without complications, detecting an altered membrane equilibrium. …”
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Impact of Optical Imagery and Topography Data Resolution on the Measurement of Surface Fault Displacement Using Sub‐Pixel Image Correlation by Solène L. Antoine, Zhen Liu

“…Results show that the average noise in the output displacement maps linearly increases with decreasing image resolution, resulting in greater uncertainties in mapping surface fault geometry and associated displacement. …”
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A comparative analysis of patient satisfaction with various methods of digital smile design and simulation by Mahsa Babaei, Mehrdad Kazemian, Mehrdad Barekatain

“…Nonparametric statistical tests, namely the Kruskal–Wallis test and post hoc Bonferroni tests, were used to examine the research hypotheses at a significance level of 0.05. …”
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PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation by Longfei Cui, Chao Li, Xin Chen, Xiao Wang, Haizhong Qian

“…Through a cleverly designed self-attention mask matrix, it achieves an autoregressive output of regularized building outline coordinates, eliminating the need for cumbersome post-processing steps. Experimental results show that on the Inria Aerial Image Labeling Dataset, compared with traditional methods and existing deep learning methods, the proposed method demonstrates significant advantages in metrics such as IoU, C-IoU, and Hausdorff distance. …”
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Uncovering intra-daily intertidal biofilm dynamics in a shorebird foraging hotspot with hourly UAV multispectral imagery acquisitions by Tristan J. Douglas, Nicholas C. Coops, Mark C. Drever, Brian P.V. Hunt, Tara G. Martin, Robert W. Elner

“…Optical imagery was processed using a photogrammetric co-alignment approach to generate continuous chl-a maps (via the normalized vegetation index), digital surface models, and topographic position index layers. …”
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Packet information encoding in a cerebellum-like circuit. by Alejo Rodríguez-Cattáneo, Ana Carolina Pereira, Pedro Anibal Aguilera, Ángel Ariel Caputi

“…To evaluate this hypothesis, extracellular unitary activity was recorded from the centro-medial map of the EL. Units recorded in high-decerebrate preparations were classified into six types using hierarchical cluster analysis of post-EOD spiking histograms. …”
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National-Scale Detection of New Forest Roads in Sentinel-2 Time Series by Øivind Due Trier, Arnt-Børre Salberg

“…The observed detection rate was 98%. Post-processing steps reduced the false positive rate to 46%. …”
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3D Robotics and LMM for Vineyard Inspection by S. Facenda, P. Trybała, L. Morelli, N. Padkan, N. Padkan, F. Remondino

“…This study presents a cost-effective mobile robotic research platform designed for autonomous vineyard inspection: it integrates mission planning, real-world navigation and a post-processing pipeline of multimodal data. The system, based on the Leo rover, is equipped with LiDAR, RGB cameras and GNSS-visual-inertial positioning, ensuring reliable operation in GNSS-degraded vineyard environments. …”
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Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments by Jian Li, Wenkai Ma, Yanan Wei, Tan Wang

“…These improvements include DCNv4 deformable convolutions for irregular pig postures, BiFPN bidirectional feature fusion for multi-scale information integration, EfficientViT linear attention for computational efficiency, and PIoU v2 loss for improved overlap handling. (2) A density-aware post-processing module with intelligent NMS strategies that adapt to different crowding scenarios. …”
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Bilateral enhancement network with signal-to-noise ratio fusion for lightweight generalizable low-light image enhancement by Junfeng Wang, Shenghui Huang, Zhanqiang Huo, Shan Zhao, Yingxu Qiao

“…To improve the network’s generalization ability, we propose a Luminance Normalization (LNM) module for preprocessing and a Dual-Exposure Processing (DEP) module for post-processing. LNM divides the channels of input features into luminance-related channels and luminance independent channels, and reduces the inconsistency of the degradation distribution of input low-light images by only normalizing the luminance-related channels. …”
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SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

“…Third, an Adaptive Synergistic Mask Optimization (ASMO) strategy systematically enhances mask generation through classification head refinement, adaptive post-processing, and progressive training protocols. …”
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A comprehensive review of the genetic control of cooking time in dry beans (Phaseolus vulgaris L.) by Hannah R. Jeffery, Marcelo Efrén Murillo‐Quesada, Luis Barboza‐Barquero, Karen Cichy

“…Cooking is an essential processing step needed to unlock the nutrients in dry beans and to make them palatable and safe for consumption. …”
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Geological and hydrogeological drivers of seismic deformation in L’Aquila, Italy: insights from InSAR analysis by Alessandra Sciortino, Vincenzo Guerriero, Roberta Marini, Marco Spadi, Paolo Mazzanti, Marco Tallini

“…Recent studies have shown that higher intensity of damage to buildings in L’Aquila downtown, both in the case of the 2009 earthquake (Mw: 6.29) and the 1703 earthquake (Mw: 6.7), is associated with higher post-seismic subsidence rates, detected through A-DInSAR maps, in the time range 2010–2021. …”
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