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

“…The data of numerous studies testifying to the significant prognostic and diagnostic value of the obtained parameters of VCG are presented.…”
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Present and future of the study on Korean land planarians (Platyhelminthes: Tricladida: Geoplanidae) by Ji-Hun Song, Fernando Carbayo

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Early changes in corticospinal excitability for subliminally presented fearful body postures by Sara Borgomaneri, Thomas Quettier, Marianna Ambrosecchia, Simone Battaglia, Marco Tamietto, Alessio Avenanti

“…However, it remains unclear whether the presentation of non-visible emotional bodies modulates corticospinal excitability (CSE) in the observer. …”
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Fast Scanning Method Based on Multi-point Focusing by LU Yi, ZHANG Xue-yuan, HE Yong-jun

“…With the development of instrument automation, the microscope based automatic reading system is used widely in the medical field. …”
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IMPROVING THE QUALITY OF THE INFORMATION PRESENTED IN FINANCIAL STATEMENTS BY USING INFORMATION TECHNOLOGY by VASILE DUMITRAȘ

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Data-driven approach to mid-latitude coherent scatter radar data classification by Berngardt Oleg

“…Based on 2021 data, a solution of the problem of automatic data classification is presented without their labeling by an expert and without postulating the number of classes. …”
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Addendum to How Small Can S-boxes Be? by Yu Sun, Lixuan Wu, Chenhao Jia, Tingting Cui, Kai Hu, Meiqin Wang

“… In ToSC 2025(1), Jia et al. proposed an SAT-aided automatic search tool for the S-box design. A part of the functionality of this tool is to search for implementations of an S-box with good area and gate-depth complexity. …”
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Corrections to “Automatic Player Face Detection and Recognition for Players in Cricket Games” by Mahmood Ul Haq, Muhammad Athar Javed Sethi, Sadique Ahmad, Mohammed A. Elaffendi, Muhammad Asim

“…Presents corrections to the paper, Automatic Player Face Detection and Recognition for Players in Cricket Games.…”
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Multiphase Identification Through Automatic Classification from Large-Scale Nanoindentation Mapping Compared to an EBSD-Machine Learning Approach by Carl Slater, Bharath Bandi, Pedram Dastur, Claire Davis

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GBAS-based high-precision automatic landing guidance for civil aircraft using improved active disturbance rejection control by Shaobo Zhai, Guangwen Li, Junmin Cheng, Mingshan Hou

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Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement by Cynthia Freeman, Ian Beaver, Abdullah Mueen

“…Many existing anomaly detection systems do not include an avenue for human feedback, essential given the subjective nature of what even is anomalous. We present a technique for improving univariate time series anomaly detection through automatic algorithm selection and human-in-the-loop false-positive removement. …”
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Global Optimal Automatic Generation Control of a Multimachine Power System Using Hybrid NLMPC and Data-Driven Methods by Ahmed Khamees, Hüseyin Altınkaya

“…Real-world power systems face challenges from demand fluctuations, system constraints, communication delays, and unmeasurable disturbances. This paper presents a real-time hybrid approach integrating Nonlinear Model Predictive Control (NLMPC) and data-driven methods for automatic generation control (AGC) of synchronous generators, particularly under cyber-physical attacks. …”
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Artificial Bias Induction in Fourth-Order Cumulants Based Automatic Modulation Classification Algorithm in AWGN and Multipath Propagation Channel by R. Bozovic, V. Orlic, G. Kekovic

“…Automatic modulation classification (AMC) represents a wide used technique for modulation format recognition of signals considered to be a priori unknown. …”
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A Fuzzy Logic-Based Automatic Gear-Shifting System for Electric Bicycles in Urban Mobility Solutions for Smart Cities by Jin-Shyan Lee, Ruo You

“…This study presents a novel fuzzy logic controller (FLC) designed to address the challenges of frequent and unstable gear shifts in automatic bicycle transmissions. …”
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Automatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Method by Hongxia Zhang, Feng Wang, Dagong Jia, Tiegen Liu, Yimo Zhang

“…However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. …”
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A Multi-Level Semi-Automatic Procedure for the Monitoring of Bridges in Road Infrastructure Using MT-DInSAR Data by Diego Alejandro Talledo, Anna Saetta

“…Monitoring the structural health of bridges in road infrastructure is crucial for ensuring public safety and efficient maintenance. This paper presents a multi-level semi-automatic methodology for bridge monitoring, using Multi-Temporal Differential SAR Interferometry (MT-DInSAR) data. …”
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Towards Automatic Detection of Pneumothorax in Emergency Care with Deep Learning Using Multi-Source Chest X-ray Data by Santiago Ibañez Caturla, Juan de Dios Berná Mestre, Oscar Martinez Mozos

“…In this paper, we propose an automatic triage system for pneumothorax detection in X-ray images based on deep learning. …”
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Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering by Fan Xu, Xin Shu, Xiaodi Zhang, Bo Fan

“…This paper presents a model based on stacked denoising autoencoders (SDAEs) in deep learning and adaptive affinity propagation (adAP) for bearing fault diagnosis automatically. …”
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Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia by Yongan Meng, Hailei Lan, Yuqian Hu, Zailiang Chen, Pingbo Ouyang, Jing Luo

“…The improved U-Net CNN was more accurate at automatically measuring the FAZ area on the OCTA images than the traditional CNN. …”
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Parametric Optimization for Automatic Control System of 300 MW Power Units at a Constant Steam Pressure Upstream of the Turbine by G. T. Kulakov, A. T. Kulakov, K. I. Artsiomenka

“…The problem of parametric optimization of automatic control systems of power units (ACSPU) of 300 MW at the Lukoml’skaya GRES (Lukoml Condensing Power Plant) at a constant superheated steam pressure upstream of the turbine is under consideration. …”
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