Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study by Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

“…ResultsThe sepsis prediction model demonstrated robust performance in the test cohort (224 patients), achieving an accuracy of 0.7 (95% CI 0.68-0.71), precision of 0.69 (95% CI 0.68-0.71), F1-score of 0.69 (95% CI 0.67-0.70), and area under the receiver operating characteristic curve of 0.76 (95% CI 0.74-0.77). The TreeSHAP method effectively visualized feature contributions, enabling clinicians to interpret the model’s prediction logic and identify anomalies. …”
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Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea by Kilian Bürgi, Charles Bouveyron, Diane Lingrand, Benoit Derijard, Frédéric Precioso, Cécile Sabourault

“…In most cases, Underwater Visual Census (UVC) is the preferred method, however this can be costly in terms of human effort and is limited by meteorological and logistical factors. …”
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Chronic lymphocytic leukemia (CLL) screening and abnormality detection based on multi-layer fluorescence imaging signal enhancement and compensation by Lemin Shi, Ping Gong, Mingye Li, Dianxin Song, Hao Zhang, Zhe Wang, Xin Feng

“…This study aims to enhance FISH signal clarity, improve screening efficiency, and reduce false negatives through an automated image acquisition and signal enhancement framework. Methods An automated workflow was developed, integrating a dynamic signal enhancement method that optimizes global and local features. …”
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Explainable fully automated CT scoring of interstitial lung disease for patients suspected of systemic sclerosis by cascaded regression neural networks and its comparison with expe... by Jingnan Jia, Irene Hernández-Girón, Anne A. Schouffoer, Jeska K. de Vries-Bouwstra, Maarten K. Ninaber, Julie C. Korving, Marius Staring, Lucia J. M. Kroft, Berend C. Stoel

“…Abstract Visual scoring of interstitial lung disease in systemic sclerosis (SSc-ILD) from CT scans is laborious, subjective and time-consuming. …”
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Ring Fusion of Fisheye Images Based on Corner Detection Algorithm for Around View Monitoring System of Intelligent Driving by Jianhui Zhao, Hongbo Gao, Xinyu Zhang, Yinglin Zhang, Yuchao Liu

“…In order to improve the visual effect of the around view monitor (AVM), we propose a novel ring fusion method to reduce the brightness difference among fisheye images and achieve a smooth transition around stitching seam. …”
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Didgital-art цінних паперів by Oleh Kardash, Viktor Chelombitko

“…System-comparative analysis of existing areas of digital art and graphic design; hermeneutic analysis; methods of geometric means adapted to graphic visualization; methods of analytical geometry. …”
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Enhancing VINS with Smart Feature Grading: Overcoming Cautious and Excessive Removal of Dynamic Features for Robust Urban Localization by M. Adham, M. Adham, W. Chen, A. Mansour, A. Mansour, M. Mahmoud, M. Mahmoud, Y. Li

“…To address these issues, we propose a novel VINS method that combines visual and inertial information with a smart feature grading module to overcome cautious and excessive dynamic feature removal, effectively handling the complexities of dominant and ambiguous dynamic objects beyond the limitations of traditional DL and vision-based methods. …”
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Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography by Mithal Hadi Jebur, Fanar Ali Joda, Mohammed Abdullah Naser

“…The experimental results showed the better visual quality of the stego video with PSNR values exceeding 58 dB, this indicates that the proposed method works without causing much distortion in the original video and transmitted secret message. …”
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Optimal Viewpoint Assistance for Cooperative Manipulation Using D-Optimality by Kyosuke Kameyama, Kazuki Horie, Kosuke Sekiyama

“…This study proposes a D-optimality-based viewpoint selection method to improve visual assistance for a manipulator by optimizing camera placement. …”
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A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario by Tianyi Li, Shuanglin Li, Zihan Xu, Nizar Faisal Alkayem, Qiao Bao, Qiang Wang

“…This integration enables the construction of a colored point cloud dataset with rich visual and geometric features. Based on the RandLA-Net framework, an efficient processing method for large-scale point cloud segmentation is developed and optimized explicitly for power grid tower scenarios. …”
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QFCOI-Enhancing Objective Quality Assessment for Compressed Omnidirectional Images With Fusion of Measures by Marek Simka, Ladislav Polak, Adam Zizien, Karel Fliegel

“…This paper introduces Quality Fusion of Compressed Omnidirectional Images (QFCOI), an enhanced objective quality assessment method for compressed 360° images. QFCOI integrates linear fusion of feature metrics. …”
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Segmentation of Plant Roots and Soil Constituents Through X-Ray Computed Tomography and Image Analysis to Reveal Plant Root Impacts on Soil Structure by Yuki Kojima, Takeru Toda, Shoichiro Hamamoto, Yutaka Ohtake, Kohji Kamiya

“…While further validation is needed to assess the method’s applicability across different soil types and imaging conditions, it provides a practical basis for visualizing and quantifying root–soil interactions, and could contribute to advancing our understanding of how plant roots influence key soil hydraulic and thermal properties.…”
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Combination ATR-FTIR with Multiple Classification Algorithms for Authentication of the Four Medicinal Plants from <i>Curcuma</i> L. in Rhizomes and Tuberous Roots by Qiuyi Wen, Wenlong Wei, Yun Li, Dan Chen, Jianqing Zhang, Zhenwei Li, De-an Guo

“…The original spectroscopic data were pretreated using derivatives, standard normal variate (SNV), multiplicative scatter correction (MSC), and smoothing (S) methods. Among them, 1D + MSC + 13S emerged as the best pretreatment method. …”
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Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics by Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Krunal Vaghela, Ashish Singh, K. S. Ravi Kumar, Durga Prasad Bavirisetti

“…By utilizing this pixel-level prior, the method accurately estimates noise levels and subsequently applies a non-local Haar transform to execute the denoising process. …”
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Degradation Characteristics and Mechanisms of Steel Fiber-Reinforced Concrete Linings in Subsea Tunnels: Insights from Accelerated Erosion Tests with Applied Electric Fields by Longhai Wei, Jiguo Liu, Heng Shu, Qinglong Cui, Wenbo Peng, Huimin Gong, Yiguo Xue, Min Han

“…Under the influence of a unidirectional chloride ingress source, the pronounced accumulation of corrosion products was observed only on the side of the reinforcement exposed to chloride penetration. This method effectively visualized the chloride penetration path and its impact on reinforcement corrosion, providing valuable insights for the anti-corrosion design of SFRC linings in subsea tunnels.…”
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SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imaging by Aidana Massalimova, Florentin Liebmann, Sascha Jecklin, Fabio Carrillo, Mazda Farshad, Philipp Fürnstahl

“…State-of-the-art computer- and robot-assisted surgery systems rely on intraoperative imaging technologies such as computed tomography and fluoroscopy to provide detailed 3D visualizations of patient anatomy. However, these methods expose both patients and clinicians to ionizing radiation. …”
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Lightweight DeepLabv3+ for Semantic Food Segmentation by Bastián Muñoz, Angela Martínez-Arroyo, Constanza Acevedo, Eduardo Aguilar

“…In this research, a novel, lightweight, deep learning-based method for semantic food segmentation is proposed. …”
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Ocean Eddy Signature on SAR‐Derived Sea Ice Drift and Vorticity by Angelina Cassianides, Camille Lique, Anton Korosov

“…To address this problem, we develop a new method of ocean eddy detection based on their signature in sea ice vorticity retrieved from synthetic‐aperture radar (SAR) images. …”
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Detection of Leakage Areas in an Earth Embankment from GPR Measurements and Permeability Logging by Raphaël Antoine, Cyrille Fauchard, Yannick Fargier, Edouard Durand

“…In particular, this method may be a nondestructive efficient tool for dike diagnosis and complete classical geotechnical methods. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…Furthermore, the vision mamba component incorporates the bidirectional state space method and positional embedding to enable the location sensitivity of visual data samples and meet the conditions for global relationship context. …”
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