Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Investigating of the ice breaking in the Arctic begins with single visual observations during the ice aerial surveys in the 1940s and continues till nowadays using regular information from artificial Earth satellites. Processing of big volumes of satellite data and creating climatological datasets on breaks became possible owing to the development of algorithms for automatic identification of the ice breaks in images. …”
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Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospec... by Kohji Nishida, Ryo Kawasaki, Yiming Qian, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

“…In MACE prediction, our model outperformed the traditional score-based models, with 8.2% higher AUC than Systematic COronary Risk Evaluation (SCORE), 3.5% for SCORE 2 and 7.1% for the Framingham Risk Score (with p value<0.05 for all three comparisons).Conclusions Our algorithm estimates the 5-year risk of MACE based on retinal images, while explicitly presenting which risk factors should be checked and intervened. …”
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Point cloud enhancement by projection sampling by Paolo Giannitrapani, Tiziana Cattai, Stefania Colonnese

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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…In the field of video image processing, high definition is one of the main directions for future development. …”
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Prediction of bladder cancer prognosis and immune microenvironment assessment using machine learning and deep learning models by Weihao Nie, Yiheng Jiang, Luhan Yao, Xinqing Zhu, Abdullah Y. AL-Danakh, Wenlong Liu, Qiwei Chen, Deyong Yang

“…In this study, we integrated 10 machine learning algorithms to develop an immune-related machine learning signature (IRMLS) and subsequently created a deep learning model to detect the IRMLS subtype based on pathological images. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

“…Image processing techniques are employed to extract apple features, such as color, shape, and diameter, culminating in the development of an intelligent apple grading model using the GBDT algorithm. …”
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Non-Destructive Monitoring of Sweet Pepper Samples After Selected Periods of Lacto-Fermentation by Ewa Ropelewska, Justyna Szwejda-Grzybowska, Anna Wrzodak, Monika Mieszczakowska-Frąc

“…The yellow bell pepper samples were distinguished up to 90% accuracy by the LMT algorithm (Trees group). The performed study allowed us to determine the changes in pepper flesh in terms of image textures during lacto-fermentation.…”
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Generation and study of the synthetic brain electron microscopy dataset for segmentation purpose by N.A. Sokolov, E.P. Vasiliev, A.A. Getmanskaya

“…Therefore, we add synthetic images to an annotated real EM dataset or use a fully synthetic training dataset. …”
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Non-Destructive Measurement of Rice Spikelet Size Based on Panicle Structure Using Deep Learning Method by Ruoling Deng, Weisen Liu, Haitao Liu, Qiang Liu, Jing Zhang, Mingxin Hou

“…In this study, a novel method, dubbed the “SSM-Method”, based on convolutional neural network and traditional image processing technology has been developed for the efficient and precise measurement of rice spikelet size parameters on rice panicle structures. …”
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Enhancing acute leukemia classification through hybrid fuzzy C means and random forest methods by K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, S. Vimal, Tarik A. Rashid, Chetna Kausha, Md. Mehedi Hassan

“…Normally, entire blood counts image analysis and diagnosis are done manually which is an inaccurate and time-intensive process. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…According to the operational process of the algorithm given by this paper, a series of experiments are designed to validate the algorithm’s effectiveness. …”
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Beacon Jointed Packet Reconstruction Scheme for Mobile-Phone Based Visible Light Communications Using Rolling Shutter by Wei-Chung Wang, Chi-Wai Chow, Chia-Wei Chen, Hsiang-Chain Hsieh, Yen-Ting Chen

“…However, the data rate is typically limited by the complementary metal–oxide–semiconductor image sensor frame rate and the processing time gap in the rolling shutter mode operation. …”
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A Prospective Study on Algorithms Adapted to the Spatial Frequency in Tomography by Vincent Israel-Jost, Philippe Choquet, André Constantinesco

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Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling by Wen‐Gen Tang, Hong Jiang, Qi Zhang

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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

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OpenWFS—a library for conducting and simulating wavefront shaping experiments by Jeroen H Doornbos, Daniël W S Cox, Tom Knop, Harish Sasikumar, Ivo M Vellekoop

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Experience in Using Low-Dose Computed Tomography in Children and Adolescents with Pulmonary Tuberculosis by I. Yu. Petrakova, S. G. Mikhaylov, I. Е. Tyurin, M. F. Gubkina, M. Yu. Izmaylov

“…The design of the study, which included patients aged 2–17 years with active pulmonary TB and post-TB changes treated in Central Tuberculosis Research Institute in 2021–2023, consisted of two parts as follows: part 1 (a prospective selective study) – independent assessment of LDCT vs standard-dose CT (SDCT) diagnostic accuracy by two radiologists in 44 patients with TB process stabilization; part 2 – cohort one-time assessment of LDCT image quality in 144 patients at different phases of TB treatment. …”
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Análise da qualidade visual da paisagem da região de Tibagi, PR, aplicando o sensoriamento remoto Landscape quality analysis of Tibagi, Paraná state, applying the remote sensing by Geraldo S. Landovsky, Daniela B. Batista, Hideo Araki

“…The present work has the objective to propose and to test a methodology for the visual quality evaluation of the landscape, through the employment of classified and post-processed orbital image and implementing a specific algorithm, for evaluation of several uses of the land surface in the study area. …”
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Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques by Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Gerald Mills, Yan-Fang Sang, Zeting Li, Salman Khan, Jiazheng Han, Francesco Pilla

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A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges by Lorenzo Epifani, Antonio Caruso

“…Many applications in those fields involve image processing and computer vision stages. Remote sensing devices are very popular choice for image acquisition in this context, and in particular, Unmanned Aerial Vehicles (UAVs) offer a good tradeoff between cost and area coverage. …”
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