Spatial vector cardiography: From origins to the present day. A review by Valentin E. Oleynikov, Angelina A. Chernova

“…It became possible to visualize the electrical processes of the myocardium in a three-dimensional image, to calculate the parameters of the depolarization and repolarization vectors. …”
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Target Detection Technology of Mechanical, Electrical, and Plumbing Components Based on CV by Guohua Wei, Ding Zhou, Xiaojun Yuan

“…The developed system uses deep learning algorithms for real-time data collection to enhance monitoring efficiency and accuracy, as well as advanced object detection algorithms to compare real-time construction images with BIMs. …”
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Cilia in the brain display region-dependent oscillations of length and orientation. by Roudabeh Vakil Monfared, Sherif Abdelkarim, Pieter Derdeyn, Kiki Chen, Hanting Wu, Kenneth Leong, Tiffany Chang, Justine Lee, Sara Versales, Surya M Nauli, Kevin Beier, Pierre Baldi, Amal Alachkar

“…We developed automated image analysis algorithms, which enabled us to examine over 10 million individual cilia, generating the largest spatiotemporal atlas of cilia. …”
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Stereo Online Self-Calibration Through the Combination of Hybrid Cost Functions with Shared Characteristics Considering Cost Uncertainty by Wonju Lee

“…Stereo cameras and stereo matching algorithms are core components for stereo digital image correlation to obtain 3D data robustly in various environments. …”
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Comprehensive Validation of MODIS-MAIAC Aerosol Products and Long-Term Aerosol Detection over an Urban–Rural Area Around Rome in Central Italy by Valentina Terenzi, Patrizio Tratzi, Valerio Paolini, Antonietta Ianniello, Francesca Barnaba, Cristiana Bassani

“…Specifically, the AOD retrieved from the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm applied to a Moderate Resolution Imaging Spectroradiometer (MODIS) is suitable for aerosol investigation at a local scale by exploiting its high spatial resolution (1 km × 1 km). …”
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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Unfortunately, RS images acquired by optical sensors are frequently degraded by aerosol contamination, clouds and cloud shadows, resulting in missing observations and irregular observation patterns. …”
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Deep learning-driven approach for cataract management: towards precise identification and predictive analytics by Shuaixin Lu, Lingling Ba, Jie Wang, Min Zhou, Peiyao Huang, Xiaohua Zhang, Simo Pan, Xinmiao Zhou, Kai Wen, Jing Sun

“…Deep learning (DL) technology has shown significant potential in the whole process of cataract diagnosis and treatment through algorithms such as convolutional neural network (CNN). …”
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Layer-by-Layer Multifractal Scanning of Optically Anisotropic Architectonics of Blood Plasma Films: Fundamental and Applied Aspects by Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Mykhaylo Gorsky, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Olexander Salega, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

“…The laser-based Jones-matrix layer-by-layer theziography relies on polarization filtration and the digital recording of interference patterns from microscopic images of blood plasma facies. This process includes digital 2D Fourier reconstruction and phase-by-phase scanning of the object field of complex amplitudes, enabling the acquisition of phase sections of laser polarization-structural speckle field components scattered with varying multiplicities. …”
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Dual-modal edible oil impurity dataset for weak feature detection by Huiyu Wang, Qianghua Chen, Jianding Zhao, Liwen Xu, Ming Li, Ying Zhao, Qinpei Zhao, Qin Lu

“…Abstract Edible oil may be mixed with tiny solid impurities like raw material fragments, hair, metal fragments and etc. during the production and manufacturing process. For food safety reasons, these tiny impurities need to be detected in the quality control process. …”
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Theoretical framework to design and optimize feasible all optical modulator based on multi passband slit array filters in frequency domain by Mostafa Shabani, Gholamreza Karimi, Alvise Bagolini

“…The design process for tuning the number, resonance frequencies, amplitudes, and quality factors of the transmission passbands was based on a hybrid genetic particle swarm algorithm, employing both finite element method (FEM) and circuit modeling. …”
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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…However, existing knowledge does not fully encompass the diverse nature of breast cancer, particularly in triple-negative tumors.The integration of multi-omics and multimodal data has the potential to provide new insights into biological processes, to improve breast cancer patient stratification, enhance prognosis and response prediction, and identify new biomarkers.This review presents a comprehensive overview of the state-of-the-art multimodal (including molecular and image) data integration algorithms developed and with applicability to breast cancer stratification, prognosis, or biomarker identification. …”
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Semiautomated Three-Dimensional Landmark Placement on Knee Models Is a Reliable Method to Describe Bone Shape and Alignment by Nancy Park, B.S., Johannes Sieberer, M.Sc., Armita Manafzadeh, Ph.D., Rieke-Marie Hackbarth, Shelby Desroches, B.S., Rithvik Ghankot, B.S., John Lynch, Ph.D., Neil A. Segal, M.D., Joshua Stefanik, Ph.D., David Felson, M.D., John P. Fulkerson, M.D.

“…Approximately one-half experienced progression of patellofemoral osteoarthritis, defined as an increased cartilage score in the patellofemoral compartment on magnetic resonance imaging over 2 years. The algorithm automatically placed 19 anatomic landmarks on the femur, tibia, and patella. …”
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South China Sea SST Fronts, 2015–2022 by Igor M. Belkin, Yi-Tao Zang

“…The SST data from 2015 to 2022 were processed with the Belkin–O’Reilly algorithm to generate maps of SST gradient magnitude GM. …”
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Energy Characterization Method of Resource-efficient Multiple Voltage Thresholds Sampling by WANG Fei, ZHOU Jiawen, CAI Chao

“…It involves no extra hardware components and has high count rate, rendering it applicable for a range of applications, including oil detection, medical imaging, etc. However, in conventional MVT sampling process, to record trigger times from one reference voltage threshold would consume one time-to-digital converters (TDC) unit. …”

Application of federated learning in predicting breast cancer by Chai Jiarui

“…This paper proposes a breast cancer prediction model combined with federated learning, where each participant trains the model locally using multimodal data such as imaging, genes, and treatment history. During the local training process, the data is normalized and feature extracted, initially classified using support vector machines (SVM) or penalized logistic regression and optimized using stochastic gradient descent (SGD). …”
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A RARE CASE OF DEATH IN FORENSIC EXPERT PRACTICE AFTER INGESTION OF MANY FOREIGN BODIES INSIDE STOMACH by Kristina Hadzhieva, Plamena Dineva, Pavel Timonov, Ivan Tsranchev, Antoaneta Fasova, Todor Dobrev

“…In patients with proven foreign bodies inside the gastrointestinal tract, a specific algorithm for work and specific guidelines must be followed, including performing important imaging examinations, timely initiation of surgical treatment to prevent the fatal outcome, and subsequent consultation with a psychiatrist in order to clarify the underlying psycho-pathology.…”
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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

“…Studies were conducted on sets of 106 dermatoscopic and 1008 OCT images of various classes of pathologies, including melanoma and Basal Cell Carcinoma (BCC). …”
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Drone-assisted climate-smart agriculture (DACSA): A spatially-based outcome prediction model as an initial approach to track yield changes in shallot planting areas

“…Machine learning algorithms were employed to make predictions, and the yield projections were integrated into spatial maps. …”
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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision by Sang Wha Kim, Adams Hei Long Yuen, Hyun Woo Kim, Seyoung Lee, Sung Bin Lee, Young Min Lee, Won Joon Jung, Cherry Tsz Ching Poon, Dasol Park, Sangyun Kim, Sang Guen Kim, Jung Woo Kang, Jun Kwon, Su Jin Jo, Sib Sankar Giri, Hyunjung Park, Jong-pil Seo, Deok-Soo Kim, Byung Yeop Kim, Se Chang Park

“…The processed scans were reconstructed using bone reconstruction algorithms to enable precise craniofacial measurements. …”
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