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  1. 1

    An Image Processing Approach to Quality Control of Drop-on-Demand Electrohydrodynamic (EHD) Printing by Yahya Tawhari, Charchit Shukla, Juan Ren

    Published 2024-11-01
    “…In order to address these issues, the paper explores the application of feature extraction methods aimed at identifying characteristics of the printed droplets to enhance the detection, evaluation, and delineation of significant structures and edges in printed images. …”
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    Methodological Advancements in Testing Agricultural Nozzles and Handling of Drop Size Distribution Data by Giovanna Mazzi, Lorenzo Becce, Ayesha Ali, Mara Bortolini, Elena Gregoris, Matteo Feltracco, Elena Barbaro, Andreas Gronauer, Andrea Gambaro, Fabrizio Mazzetto

    Published 2025-05-01
    “…The DSD of nozzles can and should be tested before being employed by various methods. This paper recounts the recent experience in testing the DSD generated by two types of agricultural nozzles by an Oxford Lasers N60V Particle/Droplet Image Analysis (PDIA) system. …”
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    Wetting behavior of Mo, Ta, and stainless steel substrates in contact with molten Mg by S. Terlicka, N. Sobczak, K. Janus, J.J. Sobczak

    Published 2025-03-01
    “…The sessile drop method combined with a capillary purification procedure was used, for the first time, to analyze the high-temperature behavior of molten Mg on three dissimilar substrates: 1) molybdenum, 2) tantalum and 3) AISI 316L stainless steel. …”
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  4. 4

    Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

    Published 2024-11-01
    “…Under laboratory conditions, 190 images of apple leaves with spot-induced leaf drop were used, while 237 images were collected under natural conditions. …”
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    An intelligent algorithm for identifying dropped blocks in wellbores by Qian Wang, Zixuan Yang, Chenxi Ye, Wenbao Zhai, Xiao Feng

    Published 2025-04-01
    “…In this study, an image capture system with fully automated sorting and 3D scanning was developed to obtain the complete 3D point cloud data of dropping blocks. …”
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    Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

    Published 2023-12-01
    “…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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    Regeneration of Spent Nickel Catalyst via Hydrometallurgical Method by Fransisca Poppy Amelia, Erica Puspita Sari, Hafiz Norman, Muhammad Alhadilansa Salsabil, Cornelius Satria Yudha

    Published 2023-07-01
    “…The spent nickel catalyst needs to be processed to recover and avoid pollution towards the environment. The Hydrometallurgy method is a proper method to process nickel catalyst waste. …”
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    Abnormal Paravertebral Muscle Activity and Cervical Extensor Muscle Condition Affect Dynamic Spinal Balance during Gait in Dropped Head Syndrome by Kotaro Sakashita, Kousei Miura, Hideki Kadone, Tomoyuki Asada, Takahiro Sunami, Takane Nakagawa, Yosuke Ogata, Shun Okuwaki, Tomoaki Shimizu, Hisanori Gamada, Hiroshi Noguchi, Hiroshi Takahashi, Toru Funayama, Masao Koda, Masashi Yamazaki

    Published 2025-07-01
    “…Introduction: The pathogenesis of dropped head syndrome (DHS) involves factors like fat infiltration of the cervical extensor muscle, cervical degeneration, and sarcopenia, which are typically assessed using conventional imaging. …”
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    Structure-guided deep learning for back acupoint localization via bone-measuring constraints by Yulong Wang, Tian Lan, Wenjian Dou, Zhi Chen, Song Zhang, Gong Chen, Gong Chen

    Published 2025-08-01
    “…This study introduces a novel automated framework for recognizing back acupoints, uniquely integrating the traditional TCM bone-measuring principle with advanced deep learning for medical image analysis. The method employs an HRFormer backbone network combined with a Structure-Guided Keypoint Estimation Module (SG-KEM) and a structure-constrained loss function, ensuring anatomically consistent predictions within a standardized spatial coordinate system to improve accuracy across diverse body types. …”
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    A Temperature Noise Correction Method for CMOS Spatial Camera Using LSTM With Attention Mechanism by Long Cheng, Xueying Wang, Jing Xu

    Published 2025-01-01
    “…After correction in light field conditions, the average variance of images decreases to 0.29, the mean signal-to-noise ratio (SNR) increases to 80, and the photo response nonuniformity (PRNU) mean drops to 0.0161%. …”
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    Innovative Technologies in the Monitoring of the Age-Related Cataract by T. N. Kiseleva, M. S. Zaitsev

    Published 2023-01-01
    “…The use of high-technologic methods demonstrated the effectiveness of eye drops 0,005 % pirenoxine in early lens opacities management.…”
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    The Effect of Intermittent Turbulence on Drop Size in Immiscible Liquid-liquid Dispersion Mechanically Agitated by High-shear Sawtooth Impeller by Roman Formanek, Radek Sulc

    Published 2025-07-01
    “…The droplet sizes were obtained by the in-situ measurements technique and by the image analysis method.…”
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