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1821
A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions
Published 2025-01-01“…The review explores how these methods mitigate occlusion artifacts and also investigates LF acquisition technologies, representations, and the role of loss functions in optimizing model performance. A discussion of publicly available datasets and performance evaluation metrics addresses the challenges of handling large occlusions. …”
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1822
Large-Scale Apple Orchard Identification from Multi-Temporal Sentinel-2 Imagery
Published 2025-06-01“…Finally, to address the issue of the low proportion of apple orchards in remote sensing images, a Convolutional Block Attention Module (CBAM) and Focal Loss function were integrated into the SegNet model, followed by hyperparameter optimization, resulting in AOCF-SegNet. …”
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1823
The associations between current and anticipatory weight-related shame and flourishing in adolescent girls in sport
Published 2025-06-01“…., positive mental health reflecting positive social relationships and sense of purpose and optimism) is important for experiencing growth, resilience, and functioning – especially in sport. …”
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1824
Analysis of the rheological properties of mayonnaise sauces obtained with the use of sodium alginate polysaccharide
Published 2025-01-01“…The article discusses the possibility of using sodium alginate as an additive in emulsified food products - mayonnaise sauce-to improve its functional properties. Sodium alginate, a polysaccharide of plant origin obtained from brown algae of the Barents Sea, is proposed as an optimal prebiotic with the properties of high-molecular-weight dietary fibers for mayonnaise products . …”
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1825
Binocular Vision-Based Target Detection Algorithm
Published 2025-01-01“…In addition, to solve the key problems in the detection process, the Feffol model adopts the Focal Loss and CIoU Loss functions. The former can effectively balance the positive and negative samples to avoid over-learning of easy-to-classify samples during the training process; the latter successfully solves the problem of the failure of the detection method when there is no intersection between the prediction frame and the real detection frame, which significantly improves the robustness of the model. …”
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1826
Highlighting the Advanced Capabilities and the Computational Efficiency of DeepLabV3+ in Medical Image Segmentation: An Ablation Study
Published 2025-02-01“…An ablation study on ISIC 2018 tested various pre-trained backbones, architectures, and loss functions. <b>Results:</b> The optimal configuration—DeepLabV3+ with a pre-trained ResNet50 backbone and Log-Cosh Dice loss—was validated on the remaining datasets, achieving state-of-the-art results. …”
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1827
The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT
Published 2025-01-01“…To improve the convergence and reduce the complexity of the model, an advanced loss function of super-efficient IOU (SEIOU) and network pruning are applied. …”
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1828
Mineral identification in thin sections using a lightweight and attention mechanism
Published 2025-04-01“…Additionally, Inner-Intersection Over Union (InnerIOU) is used as the loss function to improve the average quality localization performance of anchor boxes. …”
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1829
Parsimonious models of root zone temperature in soilless substrates through ensemble machine learning
Published 2025-12-01“…However, open-air production of containerized plants introduces risks for extreme root zone temperatures (RZTs) that impair root function, reduce growth and increase crop loss. While passive mitigation strategies exist, growers often rely on irrigation to cool substrates during high-temperature events. …”
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1830
Urinary elementomic analysis indicates aluminum as a potential urinary biomarker of sarcopenia in the older adults
Published 2025-10-01“…Sarcopenia is characterized by aging-related progressive loss of muscle mass and function; however, the specific and sensitive biomarkers are still limited. …”
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1831
YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model
Published 2025-06-01“…Finally, WIoUv3 replaces the original loss function, optimizing lesion boundary regression based on a dynamic focusing mechanism. …”
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1832
Design of composite nanofibers for new all-solid state Raman wavelength converters
Published 2024-01-01“…Two coating processes, multilayer dip-coating and atomic layer deposition, have been successfully developed and optimized for the functionalization, inducing only relatively low losses comprised between 0.5 dB and 1.76 dB on 2 cm. …”
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1833
Pose measurement method for coal mine drilling robot based on deep learning
Published 2025-07-01“…Next, a generative adversarial network was integrated into the PointNet++ to capture more complex and detailed point cloud features. A focal loss function was employed to enhance the model's focus on the drill head and gripper, and Bayesian parameter optimization was used for hyperparameter tuning. …”
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1834
Early liver allograft dysfunction: risk factors, clinical course and outcomes
Published 2016-06-01“…The most important and modifiable risk factor is CIT (optimal timeframe 6 - 8 h), especially when HTK solution is used. …”
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1835
Abstract 185: Visual Recovery after Pituitary Apoplexy: Role of Intervention Timing and Treatment Modality
Published 2023-11-01“…Ultimately, this suggests that timeliness of intervention may have a significant impact on one of the most significant and potentially devastating implications of PA: vision loss. However, it does not appear that the optimal outcome is obtained by taking the PA patient to surgery “as soon as possible”. …”
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1836
Barriers and facilitators to self-management in people with back-related leg pain: a qualitative secondary analysis
Published 2025-05-01“…Abstract Background Back related leg pain (BRLP) is a problematic subset of low back pain, leading to greater pain, loss of function and health related care costs. While evidence suggests self-management is effective, patient implementation can be sub-optimal. …”
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1837
Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels
Published 2025-07-01“…At the same time, the remaining dataset was divided into 80% for training and 20% for validation. The optimization algorithm was selected as Adaptive Moment Estimation (Adam), and the root mean squared error (RMSE) served as the loss function. …”
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1838
Leveraging artificial intelligence for photo identification to aid CITES enforcement in combating illegal trade of the endangered humphead wrasse (Cheilinus undulatus)
Published 2025-03-01“…A ResNet-50-based convolutional neural network retrained using a triplet loss function for individual identification, achieved top-1, top-3, and top-5 accuracies of 79.73%, 95.95%, and 100%, respectively, further characterized by a mean rank of 1.797 (median = 1, mode = 1, S.D. = 0.86) for correct comparisons with appropriate images. …”
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1839
Experimental Study on Hydraulic Characteristics of Fish-friendly Culverts with Baffles
Published 2025-07-01“…In the mainstream zone, the lateral profiles of longitudinal velocity were nearly identical, ranging from 25 to 30 cm/s, indicating that the small triangular baffles had minimal impact on mainstream flow and thus preserved discharge capacity, achieving synergistic optimization of hydraulic efficiency and ecological function. …”
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1840
Analysis of the short-term effect of three different level pedicle screws in the treatment of thoracolumbar type A fractures
Published 2025-02-01“…These findings offer valuable insights for clinicians in selecting surgical fixation methods, optimizing treatment strategies, and improving patient outcomes.…”
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