AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts by Stephen G. Penny

“…This approach draws from the same underlying principles of dynamical systems theory and chaos theory that have been the foundation of operational NWP for the last half century, and extend upon machine learning based post‐processing efforts. The results show that an imperfect numerical model enhanced by the cross‐attractor transforms have the potential to outperform both MLWP models and NWP models post‐processed with ML, highlighting the value in merging prior knowledge with data‐driven ML methods.…”
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An Approach of Intelligent Compound Fault Diagnosis of Rolling Bearing based on MWT and CNN by Han Tao, Yuan Jianhu, Tang Jian, An Lizhou

“…According to this approach,the vibration signals of rolling bearing are analyzed by using MWT of removed post processing,and the corresponding multi- wavelet coefficient branches are obtained. …”
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Data-driven reduced-order modeling of nonlinear multivalued FRFs: Applications to beam and SDOF gear systems by Hady Mohamed, Nils Brödling, Fabian Duddeck

“…The spline interpolation serves as a post-processing step for Full-Order Model (FOM) solutions obtained via the Harmonic Balance Method (HBM). …”
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Diffusion-Weighted Imaging-Based Differentiating between Benign and Malignant Ovarian Lesions by Ali Reza Eftekhari Moghadam, Milad Jalilian, Forouzan Absalan, Farhad Heidari

“…Diffusion-weighted imaging (DWI) provides valuable information on structural traits of tissue and is used as an imaging biomarker in OST cancer prognosis. Post-processing of three-dimensional apparent diffusion coefficient (ADC) maps has proven useful in evaluating variable tumors, although its position in ovarian cancer prognosis is until now not well defined. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…Existing methods, including post-processing optimization, specific model based improvements, and body part feature based methods, have limitations such as inaccurate handling of heavily occluded positive samples, high computational complexity, and susceptible to background noise. …”
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

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Satellite-based analysis uncovers uneven solar PV distribution across Japan and its consumption of forest and agricultural lands by Shoki Shimada, Wataru Takeuchi

“…Overall, this study demonstrates the efficacy of integrating machine learning models, spectral indices, and post-processing techniques with satellite remote sensing data to accurately map and analyze solar PV installations. …”
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Online Calibration Method of LiDAR and Camera Based on Fusion of Multi-Scale Cost Volume by Xiaobo Han, Jie Luo, Xiaoxu Wei, Yongsheng Wang

“…After that, all the cost volumes are spliced and sent to the pose estimation module. After post-processing, the translation and rotation matrix between the camera and LiDAR coordinate systems can be obtained. …”
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Tumor segmentation in whole-slide histology images using deep learning by V. A. Kovalev, V. A. Liauchuk, A. A. Kalinovski, M. V. Fridman

“…The resultant probability maps were post-processed using conventional image processing algorithms to obtain the final binary masks of pathological regions. …”
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High-Speed Nanoindentation and Local Residual Stress Analysis for Cut Edge Damage in Complex Phase Steels for Automotive Applications by Laia Ortiz-Membrado, Sergi Parareda, Daniel Casellas, Emilio Jiménez-Piqué, Antonio Mateo

“…To characterize and study this critical area, damage and micromechanical properties have been evaluated at the cut edge for three different AHSS grades, CP800, CP980, and DP600, analyzing the impact of cutting parameters and post-processing treatments, such as sandblasting. …”
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A Method for On-Board Fire Detection Based on the Integration of Expert Systems and Neural Networks by F. Wang, R. Yue, R. Sun, F. Liu, X. Kong

“…However, current fire detection using remote sensing satellites is mostly for post-disaster confirmation rather than pre-disaster warning, lacking a high-timeliness, high-accuracy onboard fire detection and warning scheme. …”
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Simulation and Validation of Dose Distribution in BNCT Treatment Planning System by LYU Tianqi, MENG Siqin, WANG Hongliang, HE Linfeng, RUAN Shihao, WANG Tianyun, WU Meimei, CHEN Jun, SHI Bin, GUAN Fengping, LI Yuqing, LI Tianfu, HAO Lijie, LIU Yuntao

“…The dose distribution of the model was simulated using MCNP, and further weighting and adjustments were made in the post-processing software based on the main elements affecting the efficacy of BNCT. …”

Geospatial Assessment of the Effect of Gold Mining in Atakunmosa East Local Government Area, Osun State. by Paul Tomilola Elufisan

“…Spatio-temporal landuse and landcover maps were also assessed from the classified images derived from DIP. …”
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Enhancing Urban Understanding Through Fine-Grained Segmentation of Very-High-Resolution Aerial Imagery by Umamaheswaran Raman Kumar, Toon Goedemé, Patrick Vandewalle

“…The workflow includes a multi-offset self-ensemble inference strategy optimized for aerial data and a post-processing step based on digital elevation models (DEMs). …”
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A Unified Virtual Model for Real-Time Visualization and Diagnosis in Architectural Heritage Conservation by Federico Luis del Blanco García, Alejandro Jesús González Cruz, Cristina Amengual Menéndez, David Sanz Arauz, Jose Ramón Aira Zunzunegui, Milagros Palma Crespo, Soledad García Morales, Luis Javier Sánchez-Aparicio

“…Additionally, the methodology incorporates several post-processing stages designed to enhance the user experience in visualizing both the building and its associated damage. …”
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A method for automatically extracting long-term and large-scale land use and land cover information by Hongzhen Tian, Zheng Zhang, Qinping Liu, Mengmeng Yang, Na Wei

“…Improvements in imagery quality and sample quantity led to steadily increasing classification accuracy over time. After post-processing and validation through visual interpretation, the KAPPA and OA values for the study areas ranged from 0.79 to 0.87 and 0.82 to 0.89, respectively. …”
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Long-term analysis of land cover changes resulting from mining activities: Strzelin case study (S–W Poland) by K. Romańczukiewicz, J. Górniak-Zimroz

“…To achieve this, a methodological framework was developed that combines historical cartographic sources with geospatial data, enabling a reconstruction of post-mining land transformations. The framework incorporated rarely utilized historical maps such as 19th-century Messtischblatt maps, with spatial datasets including orthophotos and geospatial databases. …”
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Peculiarities of using geoinformation systems in training of future geography specialists in higher education institutions by Olena Korol, Olesia Kornus, Anatolii Kornus

“…The possibilities of open programs are also presented; they can be used in the educational process (PhotoFiltre (mapping), XnView (viewing), Picasa (adding geotagging with which you can specify the capture area of any photo, using Google Earth and Google maps), Quantum GIS (can be used as the main platform for teaching students how to implement GIS and how to create the highest quality maps), Google Earth network services (electronic globe), ArcGIS Online (used to manage and share maps and geographic information), Golden SoftWare (Surfer) (universal mapping software that runs on Microsoft Windows and is used to quickly and accurately erase map surfaces and convert the provided data into contour, relief or post maps, three-dimensional surfaces, 3D frames or vector graphics). …”
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UV-induced reorganization of 3D genome mediates DNA damage response by Veysel Oğulcan Kaya, Ogün Adebali

“…Here, we address this gap by investigating the UV-induced reorganization of the 3D genome and its critical role in mediating damage response. Employing temporal maps of contact matrices and transcriptional profiles, we illustrate the immediate and holistic changes in genome architecture post-irradiation, emphasizing the significance of this reconfiguration for effective DNA repair processes. …”
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High-Precision Chip Detection Using YOLO-Based Methods by Ruofei Liu, Junjiang Zhu

“…We firstly present a novel framework called GM-YOLOv11-DNMS to track the chips, followed by a video-level post-processing algorithm for chip counting in videos. …”
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