Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery via block-out and date-out cross-validation by Eve Laroche-Pinel, Vincenzo Cianciola, Khushwinder Singh, Gaetano A. Vivaldi, Luca Brillante

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Multilabel Classification Using Low-Rank Decomposition by Bo Yang, Kunkun Tong, Xueqing Zhao, Shanmin Pang, Jinguang Chen

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UAV Swarm Confrontation Using Hierarchical Multiagent Reinforcement Learning by Baolai Wang, Shengang Li, Xianzhong Gao, Tao Xie

“…The state space and action space increase exponentially with the number of UAVs, so that autonomous decision-making becomes a difficult problem in the confrontation environment. …”
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THE EXPERIENCE OF THE AUTOMATION OF THE STATISTICAL REPORTING FORMATION ON WAGES IN MULTIDISCIPLINARY MEDICAL INSTITUTION by O. E. Karpov, D. N. Nikitenko, O. Ya. Gembara, T. A. Manakova

“…As a material for this study, the normative and legal acts of the Russian Federation, statistical and analytical materials of the section «Salaries of certain categories of workers in the social sphere and science» of the Federal State Statistics Service of the Russian Federation, scientific publications and articles of the periodical press, as well as the results of their own research were used.To facilitate the perception, special attention is given to the description of the basic concepts of multidimensional analytical reporting: measure, performance variables, value. …”
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Guided Reinforcement Learning with Twin Delayed Deep Deterministic Policy Gradient for a Rotary Flexible-Link System by Carlos Saldaña Enderica, José Ramon Llata, Carlos Torre-Ferrero

“…To address this, the system is first identified using experimental input-output data from a Quanser^® virtual plant, generating an accurate state-space representation suitable for simulation-based policy learning. …”
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Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

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Implementasi Algoritme Evolusioner NSGA-II pada Optimasi Daya Wireless Power Transfer Multi-Penerlima by Sabriansyah Rizqika Akbar, Eko Setiawan, Agung Setiabudi

“…It starts with the system and circuit analysis, determining state-space variables, and mathematical models. The main parameters (voltage source, capacitance, inductance, and mutual inductance) are used in the mathematical model and further formulated as power in receivers as a multi-objective function. …”
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Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches by H. Banderier, H. Banderier, A. Tuel, T. Woollings, O. Martius, O. Martius, O. Martius

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CHILES. IX. Observational and Simulated H i Content and Star Formation of Blue Galaxies in Different Cosmic Web Environments by Nicholas M. Luber, Farhanul Hasan, J. H. van Gorkom, D. J. Pisano, Joseph N. Burchett, Julia Blue Bird, Hansung B. Gim, Kelley M. Hess, Lucas R. Hunt, David C. Koo, Sushma Kurapati, Danielle Lucero, Nir Mandelker, Martin Meyer, Emmanuel Momjian, Daisuke Nagai, Joel R. Primack, Min S. Yun

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Automatic Phase Correction of NMR Spectra Using Brute-Force GPU Method by Mario Gazziro, Marcio Luís Munhoz Amorim, Marco Roberto Cavallari, João Paulo Carmo, Alberto Tannus, Oswaldo Hideo Ando Junior, Loren Schwiebert

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PERBANDINGAN KERNEL SUPPORT VECTOR MACHINE (SVM) DALAM PENERAPAN ANALISIS SENTIMEN VAKSINISASI COVID-19 by Thalita Meisya Permata Aulia, Nur Arifin, Rini Mayasari

“…For this reason, a sentiment analysis of the COVID-19 vaccine will be carried out by taking data from Twitter, then classified using the Support Vector Machine algorithm. The research data is nonlinear data so it requires a kernel space for the text mining process, while there has been no specific research regarding which kernel is good for sentiment analysis, so a test will be carried out to find the best kernel among linear, sigmoid, polynomial, and RBF kernels. …”
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Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

“…Despite a long history of research and achievements in designing sorting routines, new hardware features and application requirements pose advanced challenges that computer scientists are recently tackling through novel data-aware (learned) algorithms. …”
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An evaluation of Kd-Trees vs Bounding Volume Hierarchy (BVH) acceleration structures in modern CPU architectures by Ernesto Rivera-Alvarado, Julio Zamora-Madrigal

“…In this research, we made an up-to-date evaluation of both acceleration structures, using state-of-the-art BVH and Kd-Trees algorithms implemented in C, and found out that the Kd-Trees acceleration structure provided better performance in all defined scenarios on a modern x86 CPU architecture. …”
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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

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Diagnosis of gastrointestinal fistulas in pancreatic necrosis by X-ray and computed tomography by T. G. Barmina, L. T. Khamidova, O. A. Zabavskaya, I. E. Selina, P. A. Yartsev, F. A.-K. Sharifullin, I. E. Popova, E. A. Eletskaia, А. M. Kuzmin

“…The purpose of the study: to clarify the possibilities of using X-ray research methods in the framework of a comprehensive diagnosis of gastrointestinal fistulas in pancreatic necrosis.Materials and methods. …”
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Use of Spectral Clustering for Identifying Circulation Patterns of the East Korea Warm Current and Its Extension by Eun Young Lee, Dong Eun Lee, Hye-Ji Kim, Haedo Baek, Young Ho Kim, Young-Gyu Park

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A novel pythonic paradigm for image encryption using axis-aligned bounding boxes by Abdulbasid Banga, Akifa Abbas, Danish Ali, Nisreen Innab, Ala Saleh Alluhaidan, Nadeem Iqbal, Hossam Diab

“…This research introduces a novel image encryption algorithm designed to safeguard the integrity and confidentiality of sensitive gray-scale digital images. …”
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Identification of surface thermal environment differentiation and driving factors in urban functional zones based on multisource data: a case study of Lanzhou, China by Yixuan Wang, Yixuan Wang, Shuwen Yang, Shuwen Yang, Shuwen Yang

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Modeling Asteroseismic Yields for the Roman Galactic Bulge Time-domain Survey by Trevor J. Weiss, Noah J. Downing, Marc H. Pinsonneault, Joel C. Zinn, Dennis Stello, Timothy R. Bedding, Kaili Cao, Marc Hon, Claudia Reyes, B. Scott Gaudi, Robert F. Wilson, Daniel Huber, Sanjib Sharma

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A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping by Xu Zhang, Xin Liu, Xiang Zhang, Aminjon Gulakhmadov, Jiefeng Wu, Xihui Gu, Won-Ho Nam, Panda Rabindra Kumar, Veber Afonso Figueiredo Costa, Mahlatse Kganyago, Berhanu Keno Terfa, Wenying Du, Chao Wang, Peng Wang, Jing Yuan, Nengcheng Chen

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