A hybrid sparse identification and convolutional neural network framework for renewable energy forecasting by Junchi He, Junchi He, Tian Tian, Yaqing Wu, Xiaolu Liu, Mengli Wei

“…Due to the intermittency of renewable energy sources, traditional data-driven deep learning methods face challenges in capturing long-term dependencies. …”
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Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer by L. Guanter, L. Guanter, J. Warren, M. Omara, A. Chulakadabba, A. Chulakadabba, J. Roger, M. Sargent, J. E. Franklin, S. C. Wofsy, R. Gautam

“…We evaluated the performance of this processing scheme with simulated plumes, intercomparison with other methods, and controlled methane releases. We applied this processing chain to MethaneAIR data mosaics acquired over the Permian Basin during flights in 2021 and 2023, which resulted in the detection of hundreds of point sources above 100–200 kg h<span class="inline-formula">⁻¹</span>, with a conservative detection limit of around 120 kg h<span class="inline-formula">⁻¹</span>. …”
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A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure by O. А. Grishina, A. I. Grishin, I. A. Stroganov

“…It is worthnoting that these sources lack any significant methodological unity, and approaches to the issues under consideration differ significantly. …”
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Prospects for diagnostics and treatment of neurofibromatosis type 1 in Russia by R. N. Mustafin

“…Material and Methods. The search for relevant sources was carried out in the Scopus, Web of Science, PubMed, Elibrary systems, including publications from February 1992 to December 2022. …”
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Analysis of automated surface roughness parameter support systems based on dynamic monitoring by M. R. Gimadeev, A. A. Li

“…Theoretical provisions on the determination of cutting forces and the results of vibroacoustic diagnostics were presented.Materials and Methods. The methods of correlation analysis, comparison and generalization of the results were applied. …”
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Transverse strength of railway tracks: part 2. Test system for ballast resistance in line measurement by Antonio De Iorio, Marzio Grasso, Francesco Penta, Giovanni Pio Pucillo, Vincenzo Rosiello

“…In the present paper, testing methods currently adopted to measure the in service ballast resistance are synthetically reviewed to identify the main sources of uncertainty influencing the test loads and to define an experimental methodology allowing the optimal control of the testing parameters without the introduction of spurious or parasitic actions on the track sample. …”
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Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters by Farzaneh Bagheri, Jakson Bonaldo, Naki Guler, Marco Rivera, Patrick Wheeler, Rogerio Lima

“…On the other hand, the Three-Level T-Type Voltage Source Inverter (3L T-Type VSI) is known for its reduced switching losses, improved harmonic distortion, and reduced part count in comparison to other three-level topologies. …”
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Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation by Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

“…Thus, FSSDA allows every target domain sample to be paired with all source domain samples and optimizes the feature distance between each target domain sample and the source domain samples within the same batch, instead of direct estimation of the data distribution of the target domain. …”
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Applying Software Metrics to RNN for Early Reliability Evaluation by Hao Zhang, Jie Zhang, Ke Shi, Hui Wang

“…Based on this, a framework is proposed to evaluate overall reliability for actual projects, in which algebraic tools are introduced to build the structural reliability model automatically and accurately. Studies in two open-source projects show that early evaluation results based on this framework are effective and the related methods have good applicability.…”
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The development of spontaneous intermuscular bleeding in patients with a new coronavirus infection in an infectious disease hospital by E. M. Nesvit, K. V. Medvedev, A. A. Erofeev, M. A. Protchenkov

“…The paper investigates the effectiveness of instrumental diagnostics – computed tomography in vascular mode is recognized as the optimal method, which helps to identify not only the location of the hematoma, but also in some cases its source. …”
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L0-Norm based Image Pansharpening by using population-based algorithms by Mehmet Akif Günen, María-Luisa Pérez-Delgado, Erkan Beşdok

“…Earth observation satellites capture panchromatic images at high spatial resolution and multispectral images at lower resolution to optimize the use of their onboard energy sources. This results in a technical necessity to synthesize high-resolution multispectral images from these data. …”
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Automatic fused multimodal deep learning for plant identification by Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi

“…This shift introduces the challenge of determining the optimal point for modality fusion.MethodsIn this paper, we introduce a pioneering multimodal DL-based approach for plant classification with automatic modality fusion. …”
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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. In the simulations, we find that the bandwidth of the transfer function will decrease rapidly along with the increase of fiber length or light source bandwidth, resulting in a significantly distorted ghost image. …”
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HiGoReg: A Hierarchical Grouping Strategy for Point Cloud Registration by Tengfei Zhou, Jianxiang Gu, Zhen Dong

“…To address the persistent computational bottlenecks in point cloud registration, this paper proposes a hierarchical grouping strategy named HiGoReg. This method incrementally updates the pose of the source point cloud via a hierarchical mechanism, while adopting a grouping strategy to efficiently conduct recursive parameter estimation. …”
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A Unified Framework for Automated Testing of Robotic Process Automation Workflows Using Symbolic and Concolic Analysis by Ciprian Paduraru, Marina Cernat, Adelina-Nicoleta Staicu

“…Building on insights from these methods, we introduce a hybrid approach that optimizes test coverage and efficiency in specific cases. …”
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Philological Literacy Development Model: The Role Of Lecturers' Managerial Competency And Leadership Authority by Ulfah Rasyidatus Syarifah, Syamsul Anam, Asep Maulana

“…The data is then analyzed through the stages of data reduction and data presentation, and conclusions are drawn using data validity, credibility, triangulation of methods and sources, and confirmability. Based on the results of the research findings, it is concluded that STDI Imam Syafi'i lecturers carry out their roles as authority holders who compile programs, organize language literacy teams, mobilize teaching staff and staff, optimize Campus resources, and control activities through monitoring activities of the process of activities and the achievement of philological literacy programs…”
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Consumer-oriented review of digital diabetes prevention programs: insights from the CDC’s diabetes prevention recognition program by Benjamin Lalani, Jalene Shim, Vidhu Vadini, Yllka Valdez, Daniel Zade, Nestoras Mathioudakis

“…Data were extracted from three sources available to consumers: the CDC DPRP Registry, the CDC “Find a Lifestyle Program” Website, and program-specific websites. …”
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Grain Seed Treatment by a Low-Frequency Electromagnetic Field by A. S. Dorokhov, M. E. Chaplygin, A. G. Aksenov, L. S. Shibryaeva, N. D. Blinov, A. S. Chulkov, A. V. Podzorov

“…An experimental laboratory plant with sources of a low-frequency electromagnetic field has been developed and irradiation modes have been justified. …”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…To address these issues, this paper first introduces a novel iterative algorithm that is 6 ~ 75 times faster than previous iterative methods. The proposed iterative method converges and converges to the optimal solution. …”
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Applications of microbial induced calcium carbonate precipitation in historical architecture restoration – a mini review by Hairong Wang, Shuyuan Wang

“…The review also utilized bibliometric analysis, concludes that while MICP offers a promising, eco-friendly approach to heritage conservation, further research is crucial to optimizing strains, delivery methods, integration with other techniques, long-term performance, and safety/regulatory aspects.…”
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