Trends in Adaptive Array Processing by Hema Singh, Rakesh Mohan Jha

“…Enormous progress has been made during the past five decades in the area of adaptive array processing. Increased computational power has resulted in many practical applications of optimum algorithms. …”
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Algorithms for calculation damage processes by Aleksandr Dmitrievich Nikitin, Nikolay G. Burago, Ilia S. Nikitin, Boris A. Stratula

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Infinite quantum signal processing by Yulong Dong, Lin Lin, Hongkang Ni, Jiasu Wang

“…Quantum signal processing (QSP) represents a real scalar polynomial of degree $d$ using a product of unitary matrices of size $2\times 2$, parameterized by $(d+1)$ real numbers called the phase factors. …”
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Coarse-Grained Hawkes Processes by Shinsuke Koyama

“…Building upon this model, we develop a method for inferring the underlying Hawkes process from bin-count observations, and demonstrate through simulation studies that the proposed approach performs comparably to, or even surpasses, existing techniques, while maintaining computational efficiency in parameter estimation.…”
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Editorial: Volumetric video processing by Emin Zerman, Pan Gao, Giuseppe Valenzise

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Modeling and analysis of micro processes by Xu Bin, Zhou Yang, He Shufen, Hong Canmei, Zhou Zhixun

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ANALYSIS OF THE DIAGNOSTIC VALUE OF MAGNETIC RESONANCE COMPUTER TOMOGRAPHY AND POSITRON EMISSION COMPUTER TOMOGRAPHY WITH 18F-FDG IN IDENTIFICATION OF SPINAL AND PELVIC BONE METAST... by A. V. Laryukov, R. Sh. Hasanov, Z. A. Afanasyeva, E. K. Laryukova

“…Spinal and pelvic bone metastases were detected in 24 patients using magnetic resonance imaging (MRI) and positron emission computed tomography (PET/CT). Multiple bone lesions were the most common. …”
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An efficient second‐order neural network model for computing the Moore–Penrose inverse of matrices by Lin Li, Jianhao Hu

“…Abstract The computation of the Moore–Penrose inverse is widely encountered in science and engineering. …”
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Investigation of the Effectiveness of Programs Optimization Methods for Parallel Computing Systems with GPU by A. Yu. Bezruchenko, V. A. Egunov

“…This task finds its application in various fields from signal and image processing to artificial intelligence systems. Parallel computing systems equipped with GPU are chosen as the target computing architecture. …”
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Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

“…Load balancing of tasks on the cloud environment is an important aspect of distributing resources from a data centre. Due to the dynamic computing through the internet; cloud computing agonizes from overloading of requests. …”
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Task offloading and resource allocation for blockchain‐enabled mobile edge computing by Renbin Fang, Peng Lin, Yize Liu, Yan Liu

“…The MEC‐assisted BS helps UTs compute tasks while the blockchain consensus protocol ensures the security of the task offloading and computing process. …”
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A Security Monitoring Method Based on Autonomic Computing for the Cloud Platform by Jingjie Zhang, Qingtao Wu, Ruijuan Zheng, Junlong Zhu, Mingchuan Zhang, Ruoshui Liu

“…To protect data, data monitoring is a necessary process. Based on autonomic computing, we develop a cloud data monitoring system on the cloud platform, monitoring whether the data is abnormal in the cycle and analyzing the security of the data according to the monitored results. …”
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Parallel Simulation Using Reactive Streams: Graph-Based Approach for Dynamic Modeling and Optimization by Oleksii Sirotkin, Arsentii Prymushko, Ivan Puchko, Hryhoriy Kravtsov, Mykola Yaroshynskyi, Volodymyr Artemchuk

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Collaborative Optimization Strategy for Dependent Task Offloading in Vehicular Edge Computing by Xiting Peng, Yandi Zhang, Xiaoyu Zhang, Chaofeng Zhang, Wei Yang

“…This paper proposes a task-offloading scheme based on deep reinforcement learning to optimize the strategy between vehicles and edge computing resources. The task-offloading problem is modeled as a Markov Decision Process, and an improved twin-delayed deep deterministic policy gradient algorithm, LT-TD3, is introduced to enhance the decision-making process. …”
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Development of Reaction-Rectification Process of Obtaining Mesityl Oxide. II. Analysis of Statics and Modeling of the Process by M. A. Yakhyaev, V. S. Gutenkov, C. A. Cardona, Yu. A. Pisarenko

“…In the Aspen Plus® software package, a process model was constructed that corresponded to the proposed technological scheme and through a computational experiment, its structural and parametric optimization was carried out. …”
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Influences of Process Parameters and Vibration Parameters on the Forming Force in the Ultrasonic-Assisted Incremental Forming Process by Lang Bai, Yan Li, Mingshun Yang, Zimeng Yao, Zhiyuan Yao

“…The change in the process parameters has a linear effect on the forming force, the nonlinearity of the vibratory parameters influences the forming force, and the frequencies and amplitudes in a suitable range allow the forming force to reach a minimum value. …”
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Development and application of distributed computing system in inverse problems of fracture mechanics by Arkady N. Soloviev, Pavel V. Vasiliev, Lyubov A. Podkolzina

“…The availability of the high-quality high-speed network is desirable. This simplifies the process of the system deployment, and increases the productivity of the computing process. …”
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Elicitation of Nonfunctional Requirements in Agile Development Using Cloud Computing Environment by Muhammad Younas, Dayang Norhayati Abang Jawawi, Muhammad Arif Shah, Ahmad Mustafa, Muhammad Awais, Muhammad Kamran Ishfaq, Karzan Wakil

“…This study proposed a semi-automated methodology which will help analyst and developers in eliciting nonfunctional requirements in agile development and cloud computing environment. The methodology used an NLP based automatic NFR extraction approach to fast the NFR elicitation process. …”
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Knowledge Portal for Exclusion Process Services by Krzysztof Hauke, Mieczysław Owoc, Maciej Pondel

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Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

“…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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