GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

“…This dataset can be utilized for various tasks, such as developing fully automated segmentation algorithms for new, unseen brain tumor cases, particularly through deep learning-based approaches, since ground truth is provided for each sample.…”
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An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance by Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo

“…As a part of this research, a driver identification system based on a deep driver classification model (deep neural network as DNN) with feature reduction techniques (random forest as RF and principal component analysis as PCA) is implemented to help automate and aid in crucial jobs such as the brake system in an efficient manner. …”
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Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

“…By formalizing the intellectual processes that are carried out by both the teacher and the student, it is possible to automate a certain part of the teacher’s functions, reduce manual labor costs, which will make it easier to control the educational process, as well as make the learning process more effective. …”
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Methodology for Analyzing the Actual Technical Condition of Downhole Pumping Equipment by V. V. Ivashechkin, V. I. Krytskaya, V. N. Anufriev, O. A. Avrutin

“…At large group groundwater intakes, wells are equipped with an automated control system that allows testing the pump at the workplace and promptly making a decision on its replacement if the pressure characteristic is unacceptably reduced. …”
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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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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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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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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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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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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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ELECTRONIC BANKING AND PERFORMANCE OF BANKING SECTOR IN NIGERIA by Kayode David KOLAWOLE

“…The study's findings also showed that, at the 5% significant level, automated teller machines have an effect on the net interest revenue of deposit money institutions in Nigeria, with a coefficient value of 0.0063. …”
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Digitize-HCD: A dataset for digitization of handwritten circuit diagramsMendeley Data by Nadim Ahmed, Mirza Fuad Adnan, Ahmad Shafiullah, Hayder Jahan Parash, Md. Saifur Rahman, Irfan Chowdhury Akib, Golam Sarowar

“…While significant effort has been made to digitize handwritten content in other engineering domains, the digitization of handwritten circuit diagrams remains underexplored. Automating this process would enable the development of tools capable of converting handwritten circuit diagrams into machine-readable formats that can be instantly interpreted by circuit simulation software. …”
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A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography by Roseline Oluwaseun Ogundokun, Oluwakemi Christiana Abikoye

“…Authentication of a diagnostic image obtained from a specialist at a remote location which is from the sender is one of the most challenging tasks in an automated healthcare setup. Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. …”
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