H-Darrieus Wind Turbine with Blade Pitch Control by I. Paraschivoiu, O. Trifu, F. Saeed

“…A procedure for computing the optimal variation of the blades' pitch angle of an H-Darrieus wind turbine that maximizes its torque at given operational conditions is proposed and presented along with the results obtained on a 7 kW prototype. …”
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Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations by Artyom M. Grigoryan, Alexis Gomez, Isaac Espinoza, Sos S. Agaian

“…The proposed approach is described in detail, and quantum circuits are presented for computing 3-qubit operations. This approach allowed us to write simple Qiskit codes to implement the decomposition of 3-qubit operations. …”
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Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

“…In addition, by implementing the algorithm on the JAX framework for parallel computing, the computational efficiency was significantly enhanced, allowing the entire optimization process within 17.3 h. …”
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Ultra-Short Pulses With High Repetition Frequency in Transmission Plasmonic Systems by Shilei Li, Yanan Qi, Liming Li, Dan Yu, Benyi Wang

“…This also has potential applications in high-speed signal processing fields and generating optical clock signals that can be used in optical computing.…”
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Real-time chiral dynamics at finite temperature from quantum simulation by Kazuki Ikeda, Zhong-Bo Kang, Dmitri E. Kharzeev, Wenyang Qian, Fanyi Zhao

“…By introducing a chiral chemical potential μ 5 through a quench process, we drive the system out of equilibrium and analyze the induced vector currents and their evolution over time. …”
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The results of scientific research of Bryansk State University in 2023 in the field of rope technologies development for various sectors of the economy by Goncharov K.A.

“…The results of the creation of scientifically based methods for their design and computer modeling of operational processes are also presented. …”
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Distributed Query Plan Generation Using Multiobjective Genetic Algorithm by Shina Panicker, T. V. Vijay Kumar

“…A distributed query processing strategy, which is a key performance determinant in accessing distributed databases, aims to minimize the total query processing cost. …”
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From organoids to organoids-on-a-chip: Current applications and challenges in biomedical research by Kailun Liu, Xiaowei Chen, Zhen Fan, Fei Ren, Jing Liu, Baoyang Hu, Yuanyuan Ji

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Parallel Dynamical Systems over Graphs and Related Topics: A Survey by Juan A. Aledo, Silvia Martinez, Jose C. Valverde

“…In discrete processes, as computational or genetic ones, there are many entities and each entity has a state at a given time. …”
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Guest Editorial: Deep Learning for Visual Information Analytics and Management by krishna Kant Singh, Ahmed Elngar, Md Arafatur Rahman

“…The special issue focuses explicitly on deep learning and its application in visual computing and signal processing. It emphasizes on the extent to which Deep Learning can help specialists in understanding and analyzing complex images and signals. …”
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A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis by Fatemeh Abbasi, Ameneh Khadivar, Mohsen Yazdinejad

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Review of the AI-Based Analysis of Abdominal Organs from Routine CT Scans by Niloofar Tavakolian, Azadeh Nazemi, Ching Yee Suen

“…Accurate and timely segmentation of liver trauma in computed tomography (CT) images is essential for effective diagnosis and management in emergency medicine. …”
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Sensors Grouping Hierarchy Structure for Wireless Sensor Network by Ammar Hawbani, Xingfu Wang, Saleem Karmoshi, Lin Wang, Naji Husaini

“…The grouping of sensors is computational process intended to partition the sensors of network into groups. …”
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A Double-Inertial Two-Subgradient Extragradient Algorithm for Solving Variational Inequalities with Minimum-Norm Solutions by Ioannis K. Argyros, Fouzia Amir, Habib ur Rehman, Christopher Argyros

“…Variational inequality problems (VIPs) provide a versatile framework for modeling a wide range of real-world applications, including those in economics, engineering, transportation, and image processing. In this paper, we propose a novel iterative algorithm for solving VIPs in real Hilbert spaces. …”
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AutoRL-Sim: Automated Reinforcement Learning Simulator for Combinatorial Optimization Problems by Gleice Kelly Barbosa Souza, André Luiz Carvalho Ottoni

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Two-Level Semantic-Driven Diffusion Based Hyperspectral Pansharpening by Lin He, Wenrui Liang, Antonio Plaza

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Digital Technologies Are a Strong Basis for Improving the Statistical Activities of the Republic of Uzbekistan by B. A. Begalov, I. E. Zhukovskaya, Sh. G. Odilov

“…Modern world trends in the effective implementation of digital technologies in the processes of collecting, processing, transmitting and storing information in various sectors and areas of the world economy are also firmly included in the sphere of statistical activity of the Republic of Uzbekistan. …”
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Significance in Numerical Simulation and Optimization Method Based on Multi-Indicator Sensitivity Analysis for Low Impact Development Practice Strategy by Qian Zhang, Mucheng Zhang, Wanjun Jiang, Yizhi Sheng, Yingwei Yuan, Meng Zhang

“…In this study, a numerical computational model is developed to simulate the hydrological processes and reveal the temporal and spatial variation of runoff in relation to impervious surfaces and concave herbaceous fields. …”
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The role of entrenchment and schematisation in the acquisition of rich verbal morphology by Hržica Gordana, Košutar Sara, Botica Tomislava Bošnjak, Milin Petar

“…Entrenchment and schematisation are the two most important cognitive processes in language acquisition. In this article, the role of the two processes, operationalised by token and type frequency, in the production of overgeneralised verb forms in Croatian preschool children is investigated using a parental questionnaire and computational simulation of language acquisition. …”
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A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection by Shao-Fei Jiang, Chun Fu, Chun-Ming Zhang, Zhao-Qi Wu

“…This paper proposes a revised counter-propagation network (CPN) model by integrating rough set in structural damage detection, applicable for processing redundant and uncertain information as well as assessing structural health states. …”
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