Models, systems, networks in economics, engineering, nature and society by D.N. Frantasov, Yu.V. Kudryashova, E.V. Voronina

“…The factors for all automated systems for commercial metering of electricity used in railway transport have been determined. …”

Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…The increasing number of imaging studies and the prevailing application of positron emission tomography (PET) in clinical oncology have led to a real need for efficient PET volume handling and the development of new volume analysis approaches to aid the clinicians in the clinical diagnosis, planning of treatment, and assessment of response to therapy. A novel automated system for oncological PET volume analysis is proposed in this work. …”
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Cortical Surface Reconstruction from High-Resolution MR Brain Images by Sergey Osechinskiy, Frithjof Kruggel

“…A new PDE-based method is presented for the automated cortical reconstruction that is computationally efficient and scales well with grid resolution, and thus is particularly suitable for high-resolution MR images with submillimeter voxel size. …”
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Registration of transthoracic impedance signal and ventilation volume data in out-of-hospital cardiac arrestMendeley Data by Emma Menant, Bruno Tassart, Céline Meillier, Frédéric Lemoine, Alexandre Petermann, Daniel Jost, Xavier Jouven

“…Specifically, the data include TTI signals and automated external defibrillators (AED) analysis markers collected using Defigard Touch 7® AEDs (Schiller Medical, Wissembourg, France), as well as CPR Vvol recorded by manual ventilation monitoring devices (EOlife®, ARCHEON Medical, Besançon, France).The TTI signals and Vvol data that derived from the same OHCA can be registered. …”
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A Novel Protective Framework for Defeating HTTP-Based Denial of Service and Distributed Denial of Service Attacks by Mohammed A. Saleh, Azizah Abdul Manaf

“…Secondly, the service traceback oriented architecture (STBOA) scheme is to validate whether the incoming request is launched by a human or by an automated tool. Then, it traces back the true attacking IP source. …”
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Energy Management Strategies for Smart Green MicroGrid Systems:  A Systematic Literature Review by Chaimaa Essayeh, Mohammed Raiss El-Fenni, Hamza Dahmouni, Mohamed Aymane Ahajjam

“…The selection process was based on an automated search and covered three known digital libraries. …”
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The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique by Sarawut Saichanma, Sucha Chulsomlee, Nonthaya Thangrua, Pornsuri Pongsuchart, Duangmanee Sanmun

“…Our study will utilize J48 algorithm, a data mining technique to predict abnormality in peripheral blood smear from 1,362 students by using 13 data set of hematological parameters gathered from automated blood cell counter. We found that the decision tree which is created from the algorithm can be used as a practical guideline for RBC morphology prediction by using 4 hematological parameters (MCV, MCH, Hct, and RBC). …”
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The Right to the Night City: Exploring the Temporal Variability of the 15-min City in Milan and Its Implications for Nocturnal Communities by Lamia Abdelfattah, Abubakr Albashir, Giulia Ceccarelli, Andrea Gorrini, Federico Messa, Dante Presicce

“…The spatiotemporal analysis was performed using a customized version of the 15-min City Score Toolkit, an open-source, Python-based proprietary tool developed to automate the 15 min access metric estimation. Proprietary Point-Of-Interest (POI) data that were retrieved, sorted and filtered from the Google Places API are used to simulate time-variant walkability maps based on opening hour information contained in the dataset. …”
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Roles of Whole-Genome Sequencing in Determining Transmission and Risk Factors Associated with Carbapenem-Resistant Organisms at a Vietnam HealthCare Center of Orphan Children by Van Kim Nguyen, Pirom Noisumdaeng, Katiya Ivanovitch, Eugene Athan, Larry Croft, Phuong Toai Nguyen, Huu Phuc Pham Nguyen

“…We conducted microbiological testing, including the MELAB Chromogenic CARBA agar plates, blood agar plates, and the BD PhoenixTM Automated Microbiology System to screen, isolate, and identify bacterial species and phenotypic tests for the antimicrobial susceptibility of carbapenem-resistant bacteria and the whole-genome sequencing for 12 CROs chosen to confirm the CRO transmission between HCWs and residents. …”
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Downscaling MODIS Surface Reflectance to Improve Water Body Extraction by Xianghong Che, Min Feng, Hao Jiang, Jia Song, Bei Jia

“…The paper presents an automated method for downscaling the 500 m MODIS surface reflectance (SR) to 250 m to improve the spatial discrimination of water body extraction. …”
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Impact of No-Tillage and Conventional Tillage Systems on Soil Microbial Communities by Reji P. Mathew, Yucheng Feng, Leonard Githinji, Ramble Ankumah, Kipling S. Balkcom

“…Soil microbial community structure assessed using phospholipid fatty acid (PLFA) analysis and automated ribosomal intergenic spacer analysis (ARISA) varied by tillage practice and soil depth. …”
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White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism? by Matteo De Marco, Riccardo Manca, Micaela Mitolo, Annalena Venneri

“…WMHs were quantified with an automated procedure. Voxel-based morphometry was carried out to model grey matter. …”
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Research progress of light-curing 3D printing polymer materials by HU Feiyang, LI Haoding, LUAN Shuyang, MAO Caiwang, CHEN Jiamiao, FAN Hao, SHI Jianjun, SONG Jiangxuan

“…In the future, light-curing 3D printing technology is expected to advance toward the development of high-performance polymer composites, the integration of intelligent and automated printing systems, and the deep integration with cutting-edge technologies such as artificial intelligence, continually driving its applications and innovations in high-tech fields and advanced manufacturing.…”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“… Action recognition in videos is one of the essential, challenging and active area of research in the field of computer vision that adopted in various applications including automated surveillance systems, security systems and human computer interaction. …”
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A Time Efficient Adaptive Gridding Approach and Improved Calibrations in Five-Hole Probe Measurements by Jason Town, Cengiz Camci

“…Flow structures behind the NGV measurement plane are identified with high spatial resolution and reduced uncertainty. The automated pitch and yaw calibration and the adaptive grid approach introduced in this study are shown to be a highly effective way of measuring complex flow fields in the research turbine.…”
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Sketch-Based Spatial Queries for the Retrieval of Human Locomotion Patterns in Smart Environments by Gamhewage C. de Silva, Toshihiko Yamasaki, Kiyoharu Aizawa

“…The user interaction strategy and the search algorithms are usable in any environment for automated retrieval of locomotion patterns. The subjects who evaluated the system found it easy to learn and use. …”
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Efficient diagnostic model for iron deficiency anaemia detection: a comparison of CNN and object detection algorithms in peripheral blood smear images by Navya K. T, Seemitr Verma, Keerthana Prasad, Brij Mohan Kumar Singh

“…This study highlights the potential of object detection models for improving automated anaemia diagnosis, with implications for faster and more cost-effective healthcare solutions.…”
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MLPR: YOLOv3 for Real-Time License Plate Recognition in Moroccan Video Streams by Hatim Derrouz, Hamza Alami, Reda Rabie

“…Automated License Plate Detection and Recognition (ALPR) is a technology that identifies and reads license plates in transportation and surveillance systems. …”
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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

“…Finally, comparative experiments were conducted on the Automated Cardiac Diagnosis Challenge cardiac MRI image dataset where it was found that SA-YOLOv8 achieved better results in detecting cardiac pathologies, and improvement of 7.4% in mAP0.5 value and 5.1% in mAP0.5-0.95 value compared to the baseline model.…”
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Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

“…Recent advancements in sophisticated DL methodologies have helped overcome existing issues in fracture detection.MethodsNevertheless, it is essential to develop an automated approach for identifying fractures using the multi-region X-ray dataset from Kaggle, which contains a comprehensive collection of 10,580 radiographic images. …”
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