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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Enhancing the Ground Truth Disparity by MAP Estimation for Developing a Neural-Net Based Stereoscopic Camera by Hanbit Gil, Sehyun Ryu, Sungmin Woo

“…This paper presents a novel method to enhance ground truth disparity maps generated by Semi-Global Matching (SGM) using Maximum a Posteriori (MAP) estimation. …”
Get full text

Estimation of Atenolol by Reverse Phase High Performance Liquid Chromatography by Naveen Kumar, Nishant Verma, Omveer Songh, Naveen Joshi, Kanwar Gaurav Singh

“…A simple, precise, sensitive, fast and accurate high performance liquid chromatography method has been developed for the determination of atenolol using mixture of phosphate buffer and acetonitrile (53:47 v/v) as mobile phase. …”
Get full text

Radiation diagnostics of the state of ventilation and pulmonary circulation in patients with COPD by O. S. Sementsov, S. V. Stepanenko

“…It is believed that in the initial stages of COPD, when spirometry and clinical data do not reveal abnormalities, radiological diagnosis is more sensitive than functional tests. Among the modern methods of radiological diagnosis of lung diseases - the method of CT today is the most sensitive and specific method of detecting pathological changes in the lung parenchyma and respiratory tract, it is available and widely used in everyday practice. …”
Get full text

Suggested New Statistical Parameter for Estimating Joint Roughness Coefficient considering the Shear Direction by Zhiqiang Zhang, Jiuyang Huan, Ning Li, Mingming He

“…The 10 standard roughness joint profiles provided a visual comparison to get the joint roughness coefficient (JRC) of rock joint surface, but the accuracy of this method is influenced by human factors. …”
Get full text

A Feature-Driven Inception Dilated Network for Infrared Image Super-Resolution Reconstruction by Jiaxin Huang, Huicong Wang, Yuhan Li, Shijian Liu

“…Image super-resolution (SR) algorithms based on deep learning yield good visual performances on visible images. Due to the blurred edges and low contrast of infrared (IR) images, methods transferred directly from visible images to IR images have a poor performance and ignore the demands of downstream detection tasks. …”
Get full text

Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…To address these issues, a structured feature selection method based on correlation analysis supplemented with comprehensive visual evaluation was proposed. …”
Get full text

Chemical horn infusions: a poaching deterrent or an unnecessary deception? by Sam Ferreira, Markus Hofmeyr, Danie Pienaar, Dave Cooper

“…Conservationists use various approaches to deal with the threat. One method advocated is infusing rhino horns with chemicals and dye. …”
Get full text

Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…In contrast, the average PSNR values of the attacked images reached 34.0692 dB, demonstrating the method’s superior robustness and visual quality. Compared to existing zero-watermarking algorithms, the proposed method shows superior robustness and security, making it highly effective for multimedia copyright protection.…”
Get full text

Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…There are five classes: prone, supine, right side, left side, and wake up. For the image-based method, the Visual Geometry Group 16 (VGG16) convolutional neural network was fine-tuned with data augmentation strategies including rotation, reflection, scaling, and translation to enhance model generalization. …”
Get full text