A Fast Two-Dimensional Direction-of-Arrival Estimator Using Array Manifold Matrix Learning by Jieyi Lu, Long Yang, Yixin Yang, Lu Wang

“…Sparsity-based methods for two-dimensional (2D) direction-of-arrival (DOA) estimation often suffer from high computational complexity due to the large array manifold dictionaries. …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…As a renewable and clean energy source with abundant reserves, the development of wave energy relies on accurate predictions of significant wave height (Hs). …”
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Liquid-Liquid Extraction/Low-Temperature Purification (LLE/LTP) Followed by Dispersive Solid-Phase Extraction (d-SPE) Cleanup for Multiresidue Analysis in Palm Oil by LC-QTOF-MS by Elham Sobhanzadeh, Keivan Nemati

“…An evaluation of the extraction of multiresidue pesticides from palm oil by liquid-liquid extraction/low-temperature purification (LLE/LTP) coupled with dispersive solid-phase extraction (d-SPE) as the cleanup procedure with the determination by liquid chromatography mass spectrometry using electrospray as the ionization source (LC-ESI-MS) was carried out. Optimization approaches were studied in terms of d-SPE to select efficiency of type and mass of adsorbents to obtain the highest recovery yield of pesticides and the lowest coextract fat residues in the final extract. …”
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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…The proactive design of the method combined with its multiple layers of optimization deliver results that outperform state-of-the-art solutions. …”
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High directional optical transmitter with phased array of nanoptical emitters and efficient error correction for long distance space communications by Elisa Bazzani, Anna Valeria Guglielmi, Roberto Corvaja, Nicola Laurenti, Filippo Romanato, Gianluca Ruffato, Andrea Vogliardi, Giuseppe Vallone, Lorenzo Vangelista, Paolo Villoresi

“…We develop a method for designing such an array, which achieve a main lobe divergence of 1 µrad. …”
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Analysis of Waste of Customer Service Time for New Installations with a Lean Service Approach at PT XYZ by Floresta Andriano De Hautsmand, Enny Aryanny

“…These improvements indicate better operational efficiency and resource optimization. …”
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大型可展开网状天线反枕效应研究进展 by 贺乃馨, 宋燕平, 李团结, 张大羽, 黄鹏飞, 李怡晨, 曾家琛

“…It is too expensive to supplement air source and the self-curing technology is not mature, so it is difficult to achieve the effect of uniform curing in orbit and has not been applied in practice;The realization of uniform load is not ideal. …”
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From laboratory to field: cross-domain few-shot learning for crop disease identification in the field by Sen Yang, Quan Feng, Jianhua Zhang, Wanxia Yang, Wenwei Zhou, Wenbo Yan

“…Furthermore, extensive evaluation on a multi-domain datasets demonstrated that multi-domain learning exhibits stronger domain transferability compared to single-domain learning when there is a large domain gap between the source and target domain. These comparative results suggest that optimizing the CD-FSL method from a data perspective is highly effective for solving disease identification tasks in field environments. …”
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Fourier and Inverse Fourier Transform Model for Delayed Self-interferometry System by Ling Zhang, Weilin Xie, Yuxiang Feng, Zhangweiyi Liu, Haijun Zhou, Yinxia Meng, Yuanshuo Bai, Wei Wei, Yi Dong

“…With average estimation goodness (AEG) of 0.9716 and computation complexity of <inline-formula><tex-math notation="LaTeX">$\mathcal {O}(N\text {log}N)$</tex-math></inline-formula>, this model offers greater accuracy and lower complexity than conventional methods. It has also been confirmed that this model permits to distinguish the contributions from the laser frequency stability and other noise sources, which could be helpful for the noise analysis and performance optimization of the system.…”
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A Passive Radar System for Monitoring of Coastal Areas Ship Traffic Using Satellite Illumination Signals by Nguyen Van Quan

“…Materials and methods. Mathematical modeling, theory of signals, methods of digital signal processing. …”
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WEB SERVICE OF WORKS PLANNING USING NETWORK GRAPH by Інна Грод, Надія Балик, Ярослав Василенко, Сергій Мартинюк, Василь Олексюк, Ольга Барна

“…A feature of the created application is the solution to the problem of planning the implementation of complex works, involving network models, which simplifies the understanding of the model as a whole and provides optimization of the developed graph-based on mathematical methods. …”
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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

“…ObjectiveThis systematic review aims to examine the use of ML for analyzing RWD in disease prediction and management, identifying the most commonly used ML methods, prevalent disease types, study designs, and the sources of real-world evidence (RWE). …”
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Emulsion-Based Encapsulation of Fibrinogen with Calcium Carbonate for Hemorrhage Control by Henry T. Peng, Tristan Bonnici, Yanyu Chen, Christian Kastrup, Andrew Beckett

“…This study advances current hemostatic particle technology by demonstrating enhanced self-propulsion and fibrinogen incorporation via the W/O/W emulsion method. Further optimization of the encapsulation method could enhance the effectiveness of fibrinogen-CaCO₃ particles for hemorrhage control.…”
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Extraction of Carotenoids from Pumpkin (<i>Cucurbita moschata</i>) and Spinach (<i>Spinacia oleracea</i>) Using Environmentally Friendly Deep Eutectic Solvents (DESs) by Koray Tanrıver, Mehmet Bilgin, Selin Şahin Sevgili, İrem Toprakçı Yüksel, Ebru Kurtulbaş Şahin

“…Food waste is considered as an important source for the recovery of bioactive compounds, such as carotenoids. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…To address these gaps, we propose an integrated, real-time adaptable LLM-based epidemic intelligence system, capable of correlating cross-source data, optimizing healthcare resource allocation, and supporting informed outbreak response. …”
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http://journal.ie.asm.md/assets/files/07_03_44_2019.pdf by Tatarinova N.V., Sushchikh V.M.

“…Its relevance is due to the necessity to improve calculation methods for cogeneration turbine units since they are still the main source of thermal energy in centralized heat supply systems. …”
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High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

“…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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Transient Stability Analysis of Wind-Integrated Power Systems via a Kuramoto-like Model Incorporating Node Importance by Min Cheng, Jiawei Yu, Mingkang Wu, Yayao Zhang, Yihua Zhu, Yuanfu Zhu

“…First, virtual node technology is utilized to optimize the power grid topology model. Then an improved PageRank algorithm embedded by a critical node identification method is proposed, which simultaneously considers transmission efficiency, coupling transmission probability, and voltage influence among nodes. …”
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Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach by Zohra Dakhia, Massimo Merenda

“…Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange. FL enables collaborative model training across decentralized data sources while preserving privacy. …”
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Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

“…To overcome these drawbacks, we present a new method called FADE-MAS2D (Fractional Advection Diffusion Mobile Actuator and Sensor) in which swarming UAVs are applied as optimal coverage control actuators to various methane release scenarios (from single to multi-source disturbances) utilizing an anomalous diffusion model with different time, and space fractional orders subject to wind fields. …”
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