Extending Business Process Models with Appreciation by Irina Rychkova, Gil Regev, Alain Wegmann

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Quantum Computing-Accelerated Kalman Filtering for Satellite Clusters: Algorithms and Comparative Analysis by Shreyan Prakash, Raj Bhattacherjee, Sainath Bitragunta, Ashutosh Bhatia, Kamlesh Tiwari

“…These findings highlight the potential of quantum computing to optimize data processing strategies for future missions, including deep space explorations.…”
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LOGISTICAL PROCESSES IN MILITARY AVIATION ORGANIZATIONS by Jarosław KOZUBA, Witold SARNOWSKI

“…This article examines airbases as organizational units of the Polish Air Force from the perspective of executing logistical processes, with a particular emphasis on multirole aircraft maintenance processes. …”
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Automated control system for casting process by А.М. Кабдулинов, Б.Р. Нусупбеков, А.К. Хасенов, М. Стоев, М.В. Карагаева

“…To analyze the relationship between the defining parameters of the cupola process using advanced experience in operating cupola, the latest achievements in the field of mathematical modeling of technical systems and modern computer technology, considering the process as a cybernetic system.The structure of the management system is developed in accordance with the main trends in automation identified during the analytical review. …”
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Multiscale information processing in the immune system by Roberto Navarro Quiroz, Jose Villarreal Camacho, Jose Villarreal Camacho, Eloina Zarate Peñata, Yesit Bello Lemus, Claudio López-Fernández, Lorena Gomez Escorcia, Cecilia Fernández-Ponce, Cecilia Fernández-Ponce, Cecilia Fernández-Ponce, Martha Rebolledo Cobos, Jennifer Fandiño Moreno, Ornella Fiorillo-Moreno, Ornella Fiorillo-Moreno, Elkin Navarro Quiroz, Elkin Navarro Quiroz, Elkin Navarro Quiroz

“…The immune system is an advanced, multiscale adaptive network capable of processing biological information across molecular, cellular, tissue, and systemic levels, demonstrating remarkable properties such as antifragility and criticality. …”
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Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS by Dongliang Wang, Yikun Nie, Gaolei Hu, Hon Ki Tsang, Chaoran Huang

“…Abstract Reservoir computing (RC) is a powerful machine learning algorithm for information processing. …”
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Lightweight error-tolerant edge detection using memristor-enabled stochastic computing by Lekai Song, Pengyu Liu, Jingfang Pei, Yang Liu, Songwei Liu, Shengbo Wang, Leonard W. T. Ng, Tawfique Hasan, Kong-Pang Pun, Shuo Gao, Guohua Hu

“…Abstract The demand for efficient edge computer vision has spurred the development of stochastic computing for image processing. …”
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Dynamical Processes and Systems of Fractional Order by Ming Li, Carlo Cattani, Massimo Scalia, S. C. Lim, Wen-Sheng Chen

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Capture and Process Differences Between Ontologies by Felix Engel, Mark Vanin, Nenad Krdzavac

“…Based on changes have been made to the ontology, the OnDeT tool captures and processes differences between different versions of the same ontology. …”
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A novel routing method for dynamic control in distributed computing power networks by Lujie Guo, Fengxian Guo, Mugen Peng

“…Tasked with both packet transmission and data processing, it requires joint optimization of communications and computing. …”
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ACC-PH: a Comprehensive Framework for Adopting Cloud Computing in Private Hospitals by Fayez Alshahrani, Natalia Beloff, Martin White

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Authentication and Encryption algorithms for data security in Cloud computing: A comprehensive review by Thanh Ngoc Nguyen, Thien T. T. Le

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Fog Computing Architecture for Load Balancing in Parallel Production with a Distributed MES by William Oñate, Ricardo Sanz

“…This article presents a practical solution for companies seeking to evolve their production processes during the expansion phase of their manufacturing, starting from a base architecture with Industry 4.0 features which then integrate and implement specific tools that facilitate the duplication of installed capacity; this creates a situation that allows for the development of manufacturing execution systems (MESs) for each production line and a fog computing node, which is responsible for optimizing the load balance of order requests coming from the cloud and also acts as an intermediary between MESs and the cloud. …”
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Artificial Intelligence for Unstructured Data Processing by Yohanes Bowo Widodo, Febrianti Widyahastuti, Mohammad Narji, Sondang Sibuea

“…Artificial Intelligence (AI) has become an innovative solution in addressing this challenge through techniques such as Natural Language Processing (NLP), Computer Vision, and Machine Learning. …”
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Theoretical aspects of the digitalization of production processes by F. F. Sharipov, Man Xu

“…The authors substantiate that digitalization of production is the consolidation of all business processes at the enterprise using computer and information technologies. …”
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A Dual‐Modal Memory Organic Electrochemical Transistor Implementation for Reservoir Computing by Yuyang Yin, Shaocong Wang, Ruihong Weng, Na Xiao, Jianni Deng, Qian Wang, Zhongrui Wang, Paddy Kwok Leung Chan

“…Neuromorphic computing devices offer promising solutions for next‐generation computing hardware, addressing the high throughput data processing demands of artificial intelligence applications through brain‐mimicking non‐von Neumann architecture. …”
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Weaving of Aspects in Business Process Management by Amin Jalali

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System Design for Media Server Based on Cloud Computing Technology and the Application Analysis by Qing Li, Zhehong Tang, Afang Song, Faguang Wang

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Stock volatility as an anomalous diffusion process by Rubén V. Arévalo, J. Alberto Conejero, Òscar Garibo-i-Orts, Alfred Peris

“…Our architecture combines convolutional and recurrent neural networks (bidirectional long short-term memory units). Our model computes the diffusion exponent of a financial time series to measure its volatility and it categorizes market movements into five diffusion models: annealed transit time motion (ATTM), continuous time random walk (CTRW), fractional Brownian motion (FBM), Lévy walk (LW), and scaled Brownian motion (SBM).Our findings suggest that the diffusion exponent derived from anomalous diffusion processes provides insightful and novel perspectives on stock market volatility. …”
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Research on distributed multi-access edge computing based on mimic defense theory by Hongyi ZHU, Xiaoyuan LU, Yi LI

“…The highly efficient network resources are provided by multi-access edge computing at the edge of the network,but high security capability is required also due to its distributed position and organization.Based on mimic defense theory,mimic defense structure for distributed multi-access edge computing was proposed.By segmenting data,padding check data and processing data at multiple edge node,dynamic scheduling and decision-making functions according to checksum were implemented.The simulation results show that with the increase of delay cost,the data manipulation and leak rates can be reduced effectively by the proposed structure.The edge node scheduling strategy based on trust and cost is proposed to improve the efficiency and security of the system.…”
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