COMPRESSION OF HIGH DYNAMIC RANGE OF SAR IMAGES by Yu. I. Golub

“…Objectives of study were comparison of known approaches to compression of the high dynamic range images; selection of optimal parameters for compression algorithms, and selection of a no-reference measure for image quality assessment after compression. …”
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Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing by Gui Zou, Jin Jiang, Qi Chen

“…We use a binocular module to reduce the cost of drone-borne equipment and lighten the load of the UAVs. Since the drone needs to use an embedded onboard computer and stereo matching algorithms require massive computing resources, this paper studies the optimization of CUDA-based stereo matching algorithms on embedded devices to improve the reconstruction effect of scenes and achieve rapid reconstruction, thereby reducing time costs, and enhancing drone efficiency.…”
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Non-Gaussian Process Dynamical Models by Yaman Kindap, Simon Godsill

“…Probabilistic dynamical models used in applications in tracking and prediction are typically assumed to be Gaussian noise driven motions since well-known inference algorithms can be applied to these models. …”
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Evidence on the performance of nature-based solutions interventions for coastal protection in biogenic, shallow ecosystems: a systematic map by Avery B. Paxton, Trevor N. Riley, Camille L. Steenrod, Brandon J. Puckett, Jahson B. Alemu I., Savannah T. Paliotti, Alyssa M. Adler, Laura Exar, Josette E. T. McLean, James Kelley, Y. Stacy Zhang, Carter S. Smith, Rachel K. Gittman, Brian R. Silliman

“…Potentially relevant articles were deduplicated and then screened by title and abstract with assistance from a machine learning algorithm. Following title and abstract screening, we conducted full text screening, extracted relevant metadata into a predefined codebook, and analyzed the evidence base to determine the distribution and abundance of evidence and answer our research questions on NBS performance. …”
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Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

“…To detect movement patterns, a new random forest-based method to detect breakpoints in vegetation condition has been developed and compared to the widely used Breaks For Additive Season and Trend (BFAST) algorithm. In contrast to BFAST, the new method accounts for vegetation changes caused by weather events such as snow and rainfall. …”
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Multi-scenario Dynamic Simulation and Optimization of Urban Ventilation Environment: A Case Study of Taiyuan Metropolitan Area by Junda HUANG, Yuncai WANG

“…Then, a prediction model is constructed based on the random forest algorithm. The land use types and ventilation environment of multiple scenarios in 2010 and 2020 are input into the validated prediction model to simulate changes in the future ventilation environment. …”
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Enhanced Template Matching Using Dynamic Positional Warping for Identification of Specific Patterns in Electroencephalogram by Won-Du Chang, Chang-Hwan Im

“…Template matching is an approach for signal pattern recognition, often used for biomedical signals including electroencephalogram (EEG). Since EEG is often severely contaminated by various physiological or pathological artifacts, identification and rejection of these artifacts with improved template matching algorithms would enhance the overall quality of EEG signals. …”
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Systematic Review: Particle Swarm Optimization (PSO) based Load Balancing for Cloud Computing by Darakhshan Syed, Ghulam Muhammad Shaikh, Safdar Rizvi

“…Static, heuristics-based, traditional dynamic and metaheuristic-based algorithms are ways that have been used for effective load balancing. …”
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Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…This can be a first step towards fast implementation of complex RNS operations on FPGAs, since residue to binary conversion can also be used to solve other difficult RNS operations.…”
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Higher-Order Accurate and Conservative Hybrid Numerical Scheme for Relativistic Time-Fractional Vlasov-Maxwell System by Tamour Zubair, Muhammad Usman, Ilyas Khan, Nawaf N. Hamadneh, Tiao Lu, Mulugeta Andualem

“…Still, on the other hand, a significant fact or drawback of most algorithms is that they do not preserve conservation philosophies. …”
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Using SPIN for Verification of Multi-agent Data Analysis by N. O. Garanina, E. V. Bodin, E. A. Sidorova

“…The paper presents an approach to formal verification of multi-agent data analysis algorithms for ontology population. The system agents correspond to information items of the input data and the rule of ontology population and data processing. …”
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How we treat polycythemia vera by V. A. Shuvaev, I. S. Martynkevich

“…Polycythemia vera is a disease known since ancient times, however, until recent decades, diagnosis was carried out by exclusion, and therapy was symptomatic. …”
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Complete Sets of Radiating and Nonradiating Parts of a Source and Their Fields with Applications in Inverse Scattering Limited-Angle Problems by E. Wallacher, A. K. Louis

“…Many algorithms applied in inverse scattering problems use source-field systems instead of the direct computation of the unknown scatterer. …”
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A comprehensive review of AI and machine learning techniques in antenna design optimization and measurement by Pradnya A. Gajbhiye, Satya P. Singh, Madan Kumar Sharma

“…It explores the use of various AI/ML algorithms such as neural networks, decision trees, genetic algorithms, and particle swarm optimization in this context. …”
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Network analysis of comorbidity patterns in heart failure patients using administrative data by Francesca Ieva, Daniele Bitonti

“…Network analysis techniques and community detection algorithms are applied to comorbidities registered in hospital discharge papers of HF patients, in 7 cohorts between 2006 and 2012. …”
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The Effects of Motion on Distributed Detection in Mobile Ad Hoc Sensor Networks by Xusheng Sun, Edward J. Coyle

“…These results allow rapid characterization of the time-dependence of distributed detection algorithms that are executed in mobile sensor networks.…”
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A New Feature Extraction Method for Bearing Faults in Impulsive Noise Using Fractional Lower-Order Statistics by Qianqian Xu, Kai Liu

“…Fractional lower-order p-function optimization is obtained by the calculation of the distance ratio based on K-means algorithms. Finally, a fault feature dataset is established by the optimal FLOS and lower-dimensional mapping matrix of covariation to accurately and intuitively describe various bearing faults. …”
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New insights into methods to measure biological age: a literature review by Aanchal Mathur, Sebastien Taurin, Sfoug Alshammary

“…We discussed some novel biomarkers and algorithms that can capture the dynamic and multidimensional aspects of aging at different levels. …”
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Quantum control of continuous systems via nonharmonic potential modulation by Piotr T. Grochowski, Hannes Pichler, Cindy A. Regal, Oriol Romero-Isart

“…Additionally, we propose protocols for single-shot orthogonal state discrimination, algorithmic cooling, and correcting for nonlinear evolution. …”
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Statistical models for urban growth forecasting: With application to the Baltimore–Washington area by Carlo Grillenzoni

“…Monitoring and governing the development of cities are the major concerns of urban planners, since involve physical and social aspects, such as land use and population trends. …”
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