Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

“…Cell tracking and motility analysis are essential for understanding multicellular processes, automated quantification in biomedical experiments, and medical diagnosis and treatment. …”
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Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

“…This work proposed an intelligent automated approach to early fault detection through the implementation of the HARO (Huber Adam Regression Optimizer) model, which combines Transformer networks with Lasso Regression and the Adam optimizer. …”
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Application of Artificial Intelligence in Radiological Image Analysis for Pulmonary Disease Diagnosis: A Review of Current Methods and Challenges by Karolina Zalewa, Joanna Olszak, Wojciech Kapłan, Dominika Orłowska, Lidia Bartoszek, Marta Kaus, Natalia Klepacz

“…Results AI, driven by ML and DL, has significantly enhanced medical imaging analysis, automating tasks that require expert interpretation. …”
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Effects of fascial manipulation, vibration exercise, motor imagery, or neuro‐muscular electrical stimulation on the coagulation system: A pilot study by Gerhard Cvirn, Anna Hawliczek, Axel Schlagenhauf, Bianca Brix, Karin Schmid Zalaudek, Sebastian Schwaminger, Margret Paar, Willibald Wonisch, Thomas Wagner, Ziva Arko, Nandu Goswami

“…Besides standard laboratory methods, calibrated automated thrombography (CAT) and thrombelastometry (TEM) were used allowing sensitive detection of hyper‐ and hypocoagulable states. …”
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Improvement of organizational and methodological issues of analytical control of natural gas quality in Testing laboratory by A. F. Battalov, R. T. Saetova, Ya. V. Denisova

“…This article proposes a method for calculating the frequency of gas sampling using automated algorithms taking into account data on changes in the composition and properties of gas streams for the reporting period. …”
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Evaluation of the Most Current and Effective Methods in the Analysis of Chlorinated Dioxins in Ground Beef by Ebere C. Anyanwu, Mohamed H. El-Saeid, Akpan I. Akpan, Mahmoud A. Saled

“…Among these new methods and techniques are: the synergistic combination of ELISA/GC/MS, direct sample introduction to /GC/MS-MS, automated clean-up method, and the supercritical fluid extraction methods. …”
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The potential for productive use of the digital service LearningApps in teaching foreign languages by Natalia A. Katalkina, Nadezhda V. Bogdanova

“…Gamification of the process of teaching foreign languages using the digital service LearningApps has shown that the productive use of this resource allows not only to speed up the process of automating grammatical skills, but also to develop the creative potential of students in the course of their independent creation of online games, as well as to ensure autonomy and individualization of learning process.…”
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Machine learning methods (tokenization) in marketing research by E. V. Ganebnykh, N. K. Savelieva, A. A. Sozinova, O. V. Fokina, I. G. Altsybeeva

“…Modern machine learning techniques, particularly tokenization, can be used to automate such data processing. The purpose of the study is to test this method application to data processing of the field research “Monitoring of the competition state and development in the commodity markets of the Novosibirsk Region”. …”
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Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images by Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Tomoki Hakotani, Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki, Suzushi Kusano, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato

“…Abstract Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. …”
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Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets by Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, Ayman Atia

“…Current rehabilitation research often lacks advanced computational techniques to automate exercise assessment, relying heavily on time-consuming and costly in-person sessions. …”
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Internet of Things Assisted Plant Disease Detection and Crop Management Using Deep Learning for Sustainable Agriculture by Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, Jehad Saad Alqurni, Ahmed S. Salama, Sitelbanat Abdelbagi

“…Therefore, this article develops an automated Plant Disease Detection and Crop Management using a spotted hyena optimizer with deep learning (APDDCM-SHODL) technique for Sustainable Agriculture. …”
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Analysis of Visual Field Defects Obtained with Semiautomated Kinetic Perimetry in Patients with Leber Hereditary Optic Neuropathy by Katarzyna Nowomiejska, Agnieszka Kiszka, Edyta Koman-Wierdak, Katarzyna Tonska, Ryszard Maciejewski, Anselm G. Jünemann, Robert Rejdak

“…Additionally, static automated perimetry (SAP) within 30° was performed. …”
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getphylo: rapid and automatic generation of multi-locus phylogenetic trees by T. J. Booth, S. Shaw, P. Cruz-Morales, T. Weber

“…Conclusions getphylo is a quick and reliable tool for the automated generation of genome-scale phylogenetic trees. getphylo can produce phylogenies comparable to other software in a fraction of the time, without the need large local databases or intense computation. getphylo can rapidly identify orthologues from a wide variety of datasets regardless of taxonomic or genomic scope. …”
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Hacking Exposed: Leveraging Google Dorks, Shodan, and Censys for Cyber Attacks and the Defense Against Them by Abdullah Alabdulatif, Navod Neranjan Thilakarathne

“…Additionally, we also introduce an automated all-in-one tool designed to consolidate the functionalities of Google dorks, Shodan, and Censys, offering a streamlined solution for vulnerability detection and analysis. …”
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Association Between Lung Parenchymal Attenuation in Computed Tomography and Airflow Limitation in Adults with Cystic Fibrosis by Lucía Esteban Baloira, Ester Zamarrón de Lucas, Carlos Carpio Segura, Macarena Lerín Baratas, María Fernández Velilla, María Isabel Torres Sánchez, Inmaculada Pinilla Fernández, Pablo Mariscal Aguilar, Rodolfo Álvarez-Sala Walther, Concepción Prados Sánchez

“…<b>Conclusions</b>: The measurements obtained from the automated quantification of lung parenchymal attenuation predicts airflow limitation in CF.…”
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Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

“…The proposed method can be used in automated systems to quantitatively assess optic nerve head abnormalities (e.g., glaucoma, optic disc neuropathy) and vascular changes in the OD region.…”
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Analysis of the Internal Radial Gradient of Chemical Abundances in Spiral Galaxies from CALIFA by A. F. S. Cardoso, O. Cavichia, M. Mollá, L. Sánchez-Menguiano

“…Our focus is specifically on examining oxygen abundance gradient profiles, as obtained with data from H ii regions, with a special emphasis on the inner radial gradient. We employ an automated fitting procedure to establish correlations between the physical properties of galaxies and bulges and the presence of these inner drops, seeking potential explanations for these variations in gradient. …”
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Experimental implementation of a non-ideal three-waveplate array as a polarization disturbance corrector by J.A. Jiménez-Arias, M. Vázquez-Ibarra, S.A. Salazar-Altamirano, P. Moreno-Martínez, J.M. López-Romero, K. Jiménez-García, N.V. Corzo

“…Our work sets the theoretical and experimental foundations for developing automated optical correction systems with precise polarization control in polarization-based experiments.…”
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Singular value decomposition of dynamic response of structures by Yu. A. Kolotovichev

“…All stages of obtaining and subsequent analysis of the dynamic response elementary components are easily automated, which allows to consider SVD as a basis for software development of automatic dynamic monitoring systems of structures under construction and in operation.…”
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Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

“…Video Quality Assessment (VQA) is a critical component of various technologies, including automated video broadcasting through displaying technologies. …”
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