A Proposed Method for Deep Learning-Based Automatic Tracking with Minimal Training Data for Sports Biomechanics Research by Daichi Yamashita, Minoru Matsumoto, Takeo Matsubayashi

“…<b>Background:</b> This technical note proposes a deep learning-based, few-shot automatic key point tracking technique tailored to sports biomechanics research. …”
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Automatic Genre Classification Using Fractional Fourier Transform Based Mel Frequency Cepstral Coefficient and Timbral Features by Daulappa Guranna BHALKE, Betsy RAJESH, Dattatraya Shankar BORMANE

“…This paper presents the Automatic Genre Classification of Indian Tamil Music and Western Music using Timbral and Fractional Fourier Transform (FrFT) based Mel Frequency Cepstral Coefficient (MFCC) features. …”
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DETECTION OF Β THALASSEMIA CARRIERS BY RED CELL PARAMETERS OBTAINED FROM AUTOMATIC COUNTERS USING MATHEMATICAL FORMULAS by Idit Lachover Roth, Boaz Lachover, Guy Koren, Carina Levin, Luci Zalman, Ariel Koren

“…CONCLUSIONS: We found a reliable formula that can be incorporated into any automatic blood counter to alert health providers to the possibility of a woman being a β thalassemia carrier. …”
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Fuzzy logic-based automatic voltage regulator integrated adaptive vehicle-to-grid controller for ancillary services support by Hemant Kumar, Abdul Gafoor Shaik, Ravi Yadav

“…Additionally, EVs are utilized for dynamic damping services, where grid-connected EVs help mitigate frequency oscillations in weak grid conditions. This work presents a novel modified automatic voltage regulator (AVR)-integrated fuzzy logic-based control of EVs, incorporating a feedforward term to enhance damping services. …”
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Structural-and-Parametric Optimization of Automatic Control System for Power Units of 300 MW in Wide Range of Load Variations by K. I. Artsiomenka

“…The structural-parametric optimization of the automatic control system for power units (ACSPU) of 300 MW of Lukoml’skaya GRES (Lukoml Local Condensing Power Plant) in the mode of both the permanent and the variable superheated steam pressure upstream of the turbine is under consideration. …”
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A Deep Learning-Based System for Automatic License Plate Recognition Using YOLOv12 and PaddleOCR by Bianca Buleu, Raul Robu, Ioan Filip

“…The main novelty brought by the present research consists in the development of an automatic vehicle license plate recognition system adapted to the Romanian context, which integrates the YOLOv12 detection architecture with the PaddleOCR library while also providing functionalities for recognizing the type of vehicle on which the license plate is mounted and identifying the county of registration. …”
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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

“…With advances in both classical and modern methods,synthetic aperture radar (SAR) automatic target recognition (ATR) has made enormous progress. …”
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ODM Data Analysis-A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. by Tobias Johannes Brix, Philipp Bruland, Saad Sarfraz, Jan Ernsting, Philipp Neuhaus, Michael Storck, Justin Doods, Sonja Ständer, Martin Dugas

“…<h4>Introduction</h4>A required step for presenting results of clinical studies is the declaration of participants demographic and baseline characteristics as claimed by the FDAAA 801. …”
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CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions. by Erik Hallström, Nikos Fatsis-Kavalopoulos, Manos Bimpis, Carolina Wählby, Anders Hast, Dan I Andersson

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Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review. by Kaitlin Wurtz, Irene Camerlink, Richard B D'Eath, Alberto Peña Fernández, Tomas Norton, Juan Steibel, Janice Siegford

“…To advance our ability to automatically phenotype behaviour, future research should build upon existing knowledge and validate technology under commercial settings and publications should explicitly describe recording conditions in detail to allow studies to be reproduced.…”
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Snapshot and time-dependent inversions of basal sliding using automatic generation of adjoint code on graphics processing units by Ivan Utkin, Yilu Chen, Ludovic Räss, Mauro A. Werder

“…The framework employs automatic differentiation (AD) to generate adjoint code and runs in parallel on graphics processing units. …”
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MapCalib: Toward Large-Scale Automatic Calibration for Roadside LiDAR Using High-Definition Map by C. Duan, H. Bian, Y. Guo, B. Li, M. Yan, J. Zhou

“…However, large-scale deployment presents new challenges, including low sensor overlap and variability in sensor types, complicating the calibration process. …”
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Automatic Landslide Detection in Gansu, China, Based on InSAR Phase Gradient Stacking and AttU-Net by Qian Sun, Cong Li, Tao Xiong, Rong Gui, Bing Han, Yilun Tan, Aoqing Guo, Junfeng Li, Jun Hu

“…Because they go undetected, a large number of landslides that have caused disasters are not in the catalogue. At present, Interferometric Synthetic Aperture Radar (InSAR) has been widely used in the identification of landslides. …”
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The Universal Learning Platform (ULP): A Hybrid IoT-Based Learning Environment for Automatic Device and Circuit Characterization by Alexandru Mihai Antonescu, Florin-Silviu Dumitru, Marius Enachescu

“…This paper presents the design, both hardware and software, and hands-on assessment of an IoT Based Learning Environment, constructed around the Universal Learning Platform (ULP), with on-site and remote learning capabilities. …”
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Air Traffic Trends and UAV Safety: Leveraging Automatic Dependent Surveillance–Broadcast Data for Predictive Risk Mitigation by Prasad Pothana, Paul Snyder, Sreejith Vidhyadharan, Michael Ullrich, Jack Thornby

“…The framework was developed using historical Automatic Dependent Surveillance–Broadcast (ADS-B) data obtained from the OpenSky Network. …”
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network by Pyae Phyo Kyaw, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

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Automatic Identification of High-Quality Channels in Distributed Acoustic Sensing Through Implementation of a Channel Quality Index by Tatiana Rodriguez, Aleix Segui, Arantza Ugalde, Melania Cubas Armas, Hugo Latorre, Sergi Ventosa, Tony Monfret

“…Using fiber-optic cables, distributed acoustic sensing (DAS) has emerged as a powerful technology for seismic monitoring, particularly in oceanic regions, but the massive amount of data generated presents challenges for its integration into operational seismic networks. …”
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Development of a deep learning model for automatic localization of radiographic markers of proposed dental implant site locations by Mona Alsomali, Shatha Alghamdi, Shahad Alotaibi, Sara Alfadda, Najwa Altwaijry, Isra Alturaiki, Asma'a Al-Ekrish

“…Descriptive statistics were calculated for the number of GP markers present, number of correct and incorrect identifications of GP markers. …”
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A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis by Elena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari

“…In the context of pulmonary fibrosis, micro-computed tomography (µCT) and histology are well-established and complementary tools for assessing, in animal models, disease progression and response to treatment. µCT offers dynamic, real-time insights into disease evolution and the effects of therapies, while histology provides a detailed microscopic examination of lung tissue. Here, we present a semi-automatic pipeline that integrates these readouts by matching individual µCT volume slices with the corresponding histological sections, effectively linking densitometric data with Ashcroft score measurements. …”
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Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models by S. Palomas, M. C. Acosta, G. Utrera, E. Tourigny

“…Notably, this methodology is automatic and does not require expertise in HPC to improve the performance achieved by coupled ESMs. …”
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