Understanding the Role of Robotic Process Automation in Healthcare by Octavian Constantin IORDACHE, Sebastian Aurelian ŞTEFĂNIGĂ

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SYSTEM-INFORMATION MODELS FOR INTELLIGENT INFORMATION PROCESSING by Mykola Korablyov, Sergey Lutskyy

“…The development of methods for solving various classes of practical problems using intelligent information processing is one of the key areas of research in computer science. …”
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Camelot: a computer-automated micro-extensometer with low-cost optical tracking by Nicola Trozzi, Wiktoria Wodniok, Robert Kelly-Bellow, Andrea Meraviglia, Aurore Chételat, Nova Adkins, Brendan Lane, Richard S. Smith, Dorota Kwiatkowska, Mateusz Majda

“…Abstract Background Plant growth and morphogenesis is a mechanical process controlled by genetic and molecular networks. …”
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Role, Methodology, and Measurement of Cognitive Load in Computer Science and Information Systems Research by Mira Suryani, Harry Budi Santoso, Martin Schrepp, Rizal Fathoni Aji, Setiawan Hadi, Dana Indra Sensuse, Ryan Randy Suryono, Kautsarina

“…Cognitive load (CL), defined as the mental effort required to process information, plays a pivotal role in user performance and experience in various domains, particularly within computer science (CS) and information systems (IS). …”
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Analysis of random factors of the self-education process by A. A. Solodov

“…Considered a numerical example of application of the theory, including computational experiment. The use of mathematical apparatus of random point processes allows us to formulate the model of the random factors of the process of selfeducation in the form of random sequence of points which are identified with some of the events that accompany the process of self-education. …”
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Analysis of software methods for metal computed tomography artifact reduction: experimental research by A. V. Petraikin, Yu. A. Vasilev, Z. R. Artyukova, A. K. Smorchkova, D. S. Semenov, А. А. Baulin, A. A. Alikhanov, R. A. Erizhokov, O. V. Omelyanskaya

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An effective multistage mouse model of esophageal carcinogenesis for preclinical and computational pathology applications by Yuxia Fu, Guoqing Zhang, Yue Liu, Lei Xu, Yuanyuan Hu, Liyan Xue, Huiqin Guo, Yan Fu, Yigang Cen, Xiao Li, Wei Jiang, Xiying Yu

“…This CIMCM of ESCC accurately recapitulates the multistage process of ESCC carcinogenesis from precancerous lesions to invasive carcinoma, with shortened time and high efficiency. …”
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Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application by Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, Zuriati Ahmad Zukarnain

“…Given the massive volume of data, moving to a remote cloud is time-consuming and produces severe network congestion, rendering cloud administration and rapid data processing difficult. Fog computing provides close-to-device processing at the network’s periphery, and fog computing can analyze data in near real-time. …”
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HOODIE: Hybrid Computation Offloading via Distributed Deep Reinforcement Learning in Delay-Aware Cloud-Edge Continuum by Anastasios E. Giannopoulos, Ilias Paralikas, Sotirios T. Spantideas, Panagiotis Trakadas

“…Cloud-Edge Computing Continuum (CEC) system, where edge and cloud nodes are seamlessly connected, is dedicated to handle substantial computational loads offloaded by end-users. …”
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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Additionally, local data processing demands substantial manpower and hardware investments. …”
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Transformer-based latency prediction for stream processing task by Zheng Chu, Baozhu Li, Changtian Ying

“…Abstract Latency prediction for stream processing tasks (SPTs) is a critical issue for stream computing, parameter tuning, load optimization, task scheduling, etc. …”
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Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

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<i>A Computational Theory of Writing Systems</i> Richard Sproat (AT&amp;T Laboratories) Cambridge University Press (Studies in natural language processing, edited by Branimir Boguraev), 2000, xviii+236 pp; hardbound, ISBN 0-521-66340-7, $59.95 by Kenneth R. Beesley

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Towards a new paradigm in intelligence-driven computational fluid dynamics simulations by Xinhai Chen, Zhichao Wang, Liang Deng, Junjun Yan, Chunye Gong, Bo Yang, Qinglin Wang, Qingyang Zhang, Lihua Yang, Yufei Pang, Jie Liu

“…However, CFD numerical methods often face the challenges of long research cycles, high costs, and extensive human-computer interactions due to the growing complexity of computational tasks. …”
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Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…Our method incorporates domain-adaptive transfer learning and multi-modal fusion techniques to improve the generalizability of material image analysis.ResultsExperimental evaluations on diverse datasets demonstrate superior performance in segmentation accuracy, defect detection robustness, and computational efficiency compared to traditional methods.DiscussionBy bridging the gap between medical image processing techniques and computational material science, our approach contributes to more effective, automated, and scalable material characterization processes.…”
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Gango + BioFunctional: A computational tool for efficient functional gene analysis by Alejandro Rodriguez-Mena, Xavier Tarragó-Claramunt, Giulia Castellani, Javier Méndez-Viera, Antonio Monleón-Getino

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Plastic water bottle detection model using computer vision in aquatic environments by Andrew Heller, Matthew Jacobs, Gilberto Acosta-González, Anna Basola, Jessica Beck, Wesley Garnes, Jarelys A. Hernández Molina, Alanso Johnson, Rebecca Kiriazes, Melissa Lenczewski, Ellen O’Brien, Grace Pooley Deans, Rhea Roxy, Blaise Trapani, Jason H. Davison

“…Abstract Watershed macrotrash contamination is difficult to measure and requires tedious and labor-intensive processes. This work proposes an automated approach to waste counting, focusing on using computer vision, deep learning, and object tracking algorithms to acquire accurate counts of plastic bottles as they advect down rivers and streams. …”
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VARIANT RADIATION ANATOMY OF THE LACRIMAL SAC AT VISUALIZATION BY CONTRAST-FREE COMPUTED TOMOGRAPHY by A. N. Ageev, A. P. Dergilev, V. A. Obodov

“…Preoperative orbital computed tomography data were comparatively morphometrically processed in two groups of patients with or without clinically verified dacryocystitis. …”
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INTEGRATION OF INFORMATIONAL COMPUTER TECHNOLOGIES SMK: AUTOMATION IN RATING OF THE MAIN RAW MATERIALS by S. A. Pavlenko

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INTEGRATION OF INFORMATION COMPUTER TECHNOLOGIES OF QUALITY MANAGEMENT SYSTEM: AUTOMATION OF MARKING PROCEDURE by S. A. Pavlenko

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