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  1. 361

    Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning by Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang

    Published 2024-01-01
    “…A workflow for transferring deep learning models pretrained on other regions for landslide area delimitation on new regions with a relatively small number of annotated training samples is developed. A post-processing module is integrated into the Mask R-CNN architecture to address the challenge of overlapping mask predictions for individual landslide objects. …”
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  2. 362

    Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models by Weihong Ma, Xingmeng Wang, Simon X. Yang, Lepeng Song, Qifeng Li

    Published 2024-12-01
    “…The TIRPigEar dataset was obtained through a pig house inspection robot equipped with an infrared thermal imaging device, with post-processing conducted via manual annotation. …”
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  3. 363
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  5. 365

    Uncovering precision phenotype-biomarker associations in traumatic brain injury using topological data analysis. by Jessica L Nielson, Shelly R Cooper, John K Yue, Marco D Sorani, Tomoo Inoue, Esther L Yuh, Pratik Mukherjee, Tanya C Petrossian, Jesse Paquette, Pek Y Lum, Gunnar E Carlsson, Mary J Vassar, Hester F Lingsma, Wayne A Gordon, Alex B Valadka, David O Okonkwo, Geoffrey T Manley, Adam R Ferguson, TRACK-TBI Investigators

    Published 2017-01-01
    “…Further analyses revealed that this patient subset had high rates of post-traumatic stress disorder (PTSD), and enrichment in several distinct genetic polymorphisms associated with cellular responses to stress and DNA damage (PARP1), and in striatal dopamine processing (ANKK1, COMT, DRD2).…”
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  6. 366

    FGA-Corn: an integrated system for precision pesticide application in center leaf areas using deep learning vision by Zhongqiang Song, Zhongqiang Song, Wenqiang Li, Xuehang Song, Shun Li

    Published 2025-07-01
    “…The second part is the Agri Spray Decision System (ASDS) algorithm, which is developed for post-processing the YOLO detection results, driving the funnel motor to enable precise pesticide delivery and facilitate real-time targeted application in specific crop areas. …”
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  7. 367
  8. 368

    DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

    Published 2025-01-01
    “…In semi-supervised object detection (SSOD), the methods based on dense pseudo-labeling bypass complex post-processing while maintaining competitive performance compared to the methods based on sparse pseudo-labeling. …”
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  9. 369

    An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

    Published 2025-07-01
    “…The accurate classification of cocoa pod ripeness is critical for optimizing harvest timing, improving post-harvest processing, and ensuring consistent quality in chocolate production. …”
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  10. 370

    Diagnostic capabilities of magnetic resonance imaging in assessing the myocardial perfusion in cases of ischemic disorders by Elina R. Pogrebnichenko, Adelina S. Mameshova, Zainab A. Akhmedbekova, Patimat T. Tedurova, Mukhammad A. Kamilov, Eldar A. Alibekov, Kazimagomed M. Gazimagomedov, Chopalav S. Saipullaev, Nikolai Yu. Popov, Akhmed L. Abdulaev, Khava S. Nasueva, Madina M. Bakarova, Zalina V. Erkenova

    Published 2025-01-01
    “…Recent advances in cardiac MRI and in post-processing have allowed for moving from qualitative to quantitative evaluation of the stress perfusion cardiac MRI, which has significantly increased the objectiveness and the precision of diagnostics. …”
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  11. 371

    Web-Based Internship Recruitment System with Integration of Instant Notification Service for University Students by Muhammad Haznor Haqiff Hamam, Siti Zulaiha Ahmad, Jasmine Lim Seow Tiap

    Published 2024-03-01
    “… The critical role of internships in IT education is emphasized by rapid technological advancements, yet challenges such as limited platform availability and inefficient job posting processes persist. At UiTM Perlis, students face difficulties with manual document organization and finding internships, while organizations depend on coordinators for placements. …”
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  12. 372

    CREB Phosphorylation Coincides with Transient Synapse Formation in the Rat Hippocampal Dentate Gyrus Following Avoidance Learning by Cormac O'Connell, Helen C. Gallagher, Aoibheinn O'Malley, Mary Bourke, Ciaran M. Regan

    Published 2000-01-01
    “…Although this suggests increased protein synthesis to be required for synaptic growth in the 5 to 7 h post-training period, little temporal mapping of the associated molecular mechanisms has been done. …”
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  13. 373
  14. 374

    Statistical – Synoptic Analysis of the First Effective Precipitation in the Western and Northwestern of Iran by Mostafa Karimi, Ayob Jafari, Amir Bani Amerian, Seyfolah Kaki

    Published 2020-08-01
    “…Then, correlation based cluster-hierarchical analysis was used to extract map patterns. At the final step, the extracted patterns were selected by post-processing and then a representative day was chosen from each pattern for drawing maps and interpreting the atmospheric circulation conditions. …”
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    Integrative transcriptomic and proteomic analyses reveal that carbon metabolism and complement system of Madin Darby Bovine Kidney cells are affected by bovine coronavirus infectio... by Hui Zhang, Qisheng Yu, Rui Guo, Qing Zhu, Jin Yu, Zhaohui Zhang, Lan Lan, Cheng Tang, Changqing Yu, Bin Zhang

    Published 2025-06-01
    “…Results In this study, a BCoV isolate, BCoV/SUWN/XHD-5, had cytopathogenic effects in Madin Darby bovine kidney (MDBK) cells and showed a high viral titer at 24 and 48 h post infection (hpi). Gene expression profiling using RNA sequencing and protein network mapping using the Tandem Mass Tag-based quantitative proteomics approach were performed in MDBK cells with BCoV infection at 24 and 48 hpi, respectively. …”
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  17. 377

    Comparative Assessment of LiDAR Point Clouds Captured Using Inertial Labs RESEPI Gen-I-M2X and DJI Zenmuse L2 Sensors on UAS Platforms for Varying Terrain Conditions by R. Tamimi, B. Süleymanoğlu, A. Elashry, C. Toth

    Published 2025-07-01
    “…This study compares the performance of two LiDAR systems: the RESEPI Gen-I-M2X sensor from Inertial Labs, mounted on a WingtraOne Gen II fixed-wing UAS using post-processed kinematic (PPK) corrections; and the Zenmuse L2 sensor integrated with the DJI Matrice 350 RTK, utilizing real-time kinematic (RTK) corrections with additional PPK adjustments based on observation files from a local Continuously Operating Reference Station (CORS) acting as the base. …”
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  18. 378
  19. 379

    Kinematic effects of sensorimotor foot orthoses on the gait of patients with patellofemoral pain—a randomized controlled trial by Steven Simon, Jonas Dully, Oliver Ludwig, Carlo Dindorf, Eva Bartaguiz, Michael Fröhlich, Stephan Becker

    Published 2025-04-01
    “…For each joint in all three dimensions, three-way repeated-measures statistical parametric mapping (SPM) was performed using analysis of variance (ANOVA)-like statistics. post-hoc, the significant results were checked using post-hoc t-test-like SPMs.ResultsResults show that SMFOs and BMFOs both significantly changed ankle and knee kinematic parameters in patients with PFP in long-term. …”
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  20. 380

    Artificial intelligence in resuscitation: a scoping review by Drieda Zace, Federico Semeraro, Sebastian Schnaubelt, Jonathan Montomoli, Giuseppe Ristagno, Nino Fijačko, Lorenzo Gamberini, Elena G. Bignami, Robert Greif, Koenraad G. Monsieurs, Andrea Scapigliati

    Published 2025-07-01
    “…AI was predominantly applied in prediction of CA, rhythm classification, and post-resuscitation outcome prognostication. Machine learning was the most commonly used method (50% of studies), followed by deep learning and, less frequently, natural language processing. …”
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