Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…Previous OSSEs combined low-resolution L4 satellite equivalent ADTs with high-resolution “perfectly known” SSTs to derive high-resolution sea surface dynamical features. …”
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Identification of flood atmospheric patterns and simulation of rainfall to runoff conversion in Shiraz Watershed by Hamid Jorkesh, Mohammad Javad Amiri, Ahmad Nohegar

“…Synoptic results showed that the low altitude and cold-water trough at the level of 500 hPa in the eastern Mediterranean along with the dynamic low-pressure system in Iran caused surface air instability in Fars Province and by injecting moisture from the Persian Gulf to the massif. …”
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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Furthermore, we propose a dynamic projection refinement algorithm within the alternating direction method of multiplier framework to efficiently solve these sub-problems. …”
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Joint trajectory design and resource allocation for UAV-assisted mobile edge computing in power convergence network by Junbin Cui, Yong Wei, Jianbo Wang, Li Shang, Peng Lin

“…Following this, leveraging the alternating direction method of multipliers, we introduce the joint computation offloading and resource allocation algorithm. …”
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On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…Factors such as intensity of pixels and noise may also affect the algorithm’s convergence. It is not also well-known that the algorithm converges uniformly or consistently across the field of view (FOV), termed as radial congruency or sensitivity to location and direction. …”
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Nonuniformly Spaced Array with the Direct Data Domain Method for 2D Angle-of-Arrival Measurement in Electronic Support Measures Application from 6 to 18 GHz by Chen Wu, Janaka Elangage

“…This paper introduces a 2D angle-of-arrival (AoA) estimator, which has a 6–18 GHz 7-element nonuniformly spaced array (NSA) and a Direct Data Domain- (D3-) based AoA algorithm for a 2D isotropic-element planar array (IEPA). …”
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Parameter Estimation of Non-Gaussian Signals for Polarization-Sensitive Augmented Coprime Array: Fourth-Order Cumulant Reduced-Dimensional Capon Algorithm by Meng Yang, Haowei Zeng, Xiaofei Zhang

“…First, polarization-sensitive augmented coprime array is designed, where each sensor element is equipped with a pair of orthogonal electric dipoles. Furthermore, a low-complexity reduced-dimensional Capon algorithm which uses the fourth-order cumulant of the received array signal is proposed for DOA and polarization estimation. …”
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High-resolution 2D-DoA sequential algorithm of azimuth and elevation estimation in automotive distributed system of coherent MIMO radars by I. V. Artyukhin

“…The present study aims to develop a two-dimensional Direction-of-Arrival algorithm with low computation complexity as part of distributed coherent automotive radar system for cases involving short time samples (snapshots).Methods. …”
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Directly from surface to bulk: rapid prediction of internal densification in laser powder bed fusion additively manufactured nickel-based superalloy using machine learning by Longhai Hu, Keyu Shi, Dongdong Gu, Han Zhang, Miao Chang, Menghuan Yin, Jinming Xing, Ruiqi Wang, Kai Tang, Kuanyang Feng, Xuechun Hei

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Low-Injury Rubber Tapping Robots: A Novel PSO-PID Approach for Adaptive Depth Control in <i>Hevea Brasiliensis</i> by Ruiwu Xu, Yulan Liao, Junxiao Liu, Zhifu Zhang, Xirui Zhang

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Aneuploidy screening in women of advanced age in the public healthcare setting of a low- to middle- income country – an observational cohort study by L Geerts, N Du Toit, M Schoeman

“…Screening was age- and ultrasound-based, and DS risks were calculated using published algorithms. Non-directive genetic counselling was provided to all women ≥40 years old (pre-screen if feasible), women with a relevant history, a fetal anomaly or DS risk higher than that of a woman aged 37 years. …”
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A Real-Time Signal Measurement System Using FPGA-Based Deep Learning Accelerators and Microwave Photonic by Longlong Zhang, Tong Zhou, Jie Yang, Yin Li, Zhiwen Zhang, Xiang Hu, Yuanxi Peng

“…Firstly, by introducing the idea of automated framework, we propose a simplest deep neural network (DNN)-based hardware structure, which automatically maps algorithms to hardware modules, supports configurable parameters, and has the advantage of low latency, with an average inference time of only 3.5 μs. …”
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Burden of chronic spontaneous urticaria in Italy through healthcare resource utilization and direct costs: a retrospective analysis of real-world using administrative healthcare da... by Giulia Ronconi, Letizia Dondi, Silvia Calabria, Leonardo Dondi, Irene Dell’Anno, Lucia Casoli, Diletta Valsecchi, Ornella Bonavita, Eustachio Nettis, Nello Martini, Carlo Piccinni

“…Methods From a large Italian administrative healthcare database (˜5.5 million inhabitants/year), in- and outpatients newly diagnosed with CSU from January 1st, 2016, to December 31st, 2021 (index date) were identified through specific algorithms. Drug dispensations, overnight hospitalizations, emergency department (ED) accesses, local outpatient specialist care and direct costs charged to the Italian National Health Service (SSN) were described throughout the first follow-up year. …”
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Small Defects Detection of Galvanized Strip Steel via Schatten-<i>p</i> Norm-Based Low-Rank Tensor Decomposition by Shiyang Zhou, Xuguo Yan, Huaiguang Liu, Caiyun Gong

“…Finally, a solution framework is proposed via a well-designed alternating direction method of multipliers to obtain the white-spot defect target image by a simple segmenting algorithm. …”
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User allocation technology for multi-dimensional resource optimization of LEO satellite by ZHOU Jiaen, ZHAO Yafei, PENG Mugen

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Workpiece position optimisation in robotic multi-axis machining by Tomáš Kratěna, Petr Vavruška, Jiří Švéda, Pavel Zeman

“…By determining the directional stiffness during machining operations and calculating an integral stiffness criterion for a given robot configuration and workpiece position in the workspace, a genetic algorithm is used to find the optimal part position and robot end-effectors' redundant angle of rotation. …”
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The LETBP feature descriptor based fish species classification using Kepler optimization with Extreme Learning Machine by Annalakshmi GANESAN, Sakthivel Murugan SANTHANAM

“…However, the interaction of light with ocean water results in scattered and absorbed light, leading to hazy, low-contrast and low resolution images. This, in turn, makes fish classification a challenging and arduous task. …”
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Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic reviewResearch in context by Christoph Wilhelm, Anke Steckelberg, Felix G. Rebitschek

“…Methods: In accordance with the PRISMA guidelines, we included interventional and observational studies published as peer-reviewed full-text articles that met the following criteria: human patients; interventions involving algorithmic decision-making systems, developed with and/or utilizing machine learning (ML); and outcomes describing patient-relevant benefits and harms that directly affect health and quality of life, such as mortality and morbidity. …”
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…According to related studies, monkeypox and other types of skin conditions can spread through direct contact with infected animals, humans, or contaminated items. …”
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Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine. by Yue Yuan

“…In recent years, surface electromyogram (sEMG) signals that directly reflect human motion information are ideal input sources for prosthetic control and rehabilitation. …”
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