A Deep Learning Inversion Method for 3D Temperature Structures in the South China Sea with Physical Constraints by Dongcan Xu, Yahao Liu, Yuan Kong

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Wind Power Short-Term Prediction Method Based on Time-Domain Dual-Channel Adaptive Learning Model by Haotian Guo, Keng-Weng Lao, Junkun Hao, Xiaorui Hu

“…After TCN-based feature compression, an adaptive weighted early fusion mechanism dynamically optimizes channel weights. The ACON adaptive activation function autonomously learns optimal activation patterns, with fused features visualized through visualization techniques. …”
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The Comparison of Free Cell and Immobilization Cell Fermentation on Bioethanol Production from Sorghum Stem by SSF and SHF Method by Ayu Ratna Permanasari, Arum Syamfitri, Devina Maharani, Sinta Setyaningrum, Wahyu Wibisono

“…This study aimed to determine the effect of fermentation using free cell and cell immobilization techniques on various pH, as well as to identify the most optimal fermentation method (SHF or SSF) for producing the highest ethanol content in sorghum stem fermentation.  …”
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Development of an LC-MS Method for the Analysis of Birch (<i>Betula</i> sp.) Bark Bioactives Extracted with Biosolvents by Inmaculada Luque-Jurado, Jesús E. Quintanilla-López, Rosa Lebrón-Aguilar, Ana Cristina Soria, María Luz Sanz

“…High precision (RSD < 3.3%), sensitivity (LOD: 23 ng mL⁻¹ and 29 ng mL⁻¹ for Bet and BAc, respectively), and accuracy (95–102% recovery) were found for this optimized method, using an acidulated water–methanol mixture as the mobile phase and sodium acetate as an additive. …”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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THE METHOD FOR Cu AND Zn ISOTOPE RATIO DETERMINATION BY MC ICP-MS USING THE AG MP-1 RESIN by T. G. Okuneva, S. V. Karpova, M. V. Streletskaya, N. G. Soloshenko, D. V. Kiseleva

“…Zn isotopes appear to be promising for identifying the sources and pathways of the environmental pollution. …”
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Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach by Bernardine Chidozie, Ana Ramos, José Vasconcelos, Luis Pinto Ferreira

“…<i>Background:</i> In the pursuit of sustainable energy sources, residual biomass has emerged as a promising renewable resource. …”
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A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

“…To address the limitations of traditional field surveys, such as low efficiency and high risk, we proposed an intelligent lithology recognition method, SG-RFGeo, for terrestrial laser scanning (TLS) outcrop point clouds, which integrates spectral and geometric features. …”
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A simplified 3D finite difference method for electromagnetic logging while drilling simulation in symmetrical models by Fengbo Li, Fengbo Li, Fengbo Li, Zhenguan Wu, Weining Ni, Weining Ni, Weining Ni, Xin Li, Xin Li, Xin Li, Xiaoqiao Liao, Hong Xiao, Yunxin Zeng

“…In this paper, we present a simplified 3D finite-difference frequency domain method for symmetric geological models. In such models, the electromagnetic field generated by a magnetic dipole source exhibits symmetry in all directions. …”
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Direct Transport Calculation of Three-dimensional C5G7 Benchmark Based on the Random Ray Method by SONG Peitao1, 2, 3, , QIN Shuai4, ZHANG Qian4

“…Future efforts should focus on coupling TRRM with coarse-mesh finite difference (CMFD) method during active batches to provide a stabilized fission source distributions and enhance convergence rates for localized quantities such as pin power. …”

Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The long-term preservation of heritage structures relies on effective Structural Health Monitoring (SHM) systems, where sensor placement is key to ensuring early damage detection and guiding conservation efforts. Optimal Sensor Placement (OSP) methods offer a systematic framework to identify efficient sensor configurations, yet their application in historical buildings remains limited. …”
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Iterative approach for photonic crystal devices design by Pavel V. Mokshin, Dimitriy L. Golovashkin, Vladimir S. Pavelyev

“…An approach to the design of photonic crystal (PhC) devices is proposed, which differs from the known general-purpose optimization methods (for example, a genetic algorithm or gradient procedures) by using information about diffraction patterns at different frequencies when optimizing an element designed to operate at the selected wavelength. …”
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Thermochemical Valorization of Açaí (Euterpe oleracea) Seeds: a Study using Gibbs Energy Minimization and Entropy Maximization Methods by Yan Caio Morais Da Costa, Ana Carolina Portela Pessoa Coelho, Julles Mitoura Dos Santos Júnior, Annamaria Dória Souza Vidotti, Antonio Carlos Daltro De Freitas, Reginaldo Guirardello

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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…This work introduces SegTrackDetect, an open-source, window-based framework for small and tiny object detection. …”
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4E Analysis of solar photovoltaic, wind, and hybrid power systems in southern Pakistan: energy, exergy, economic, and environmental perspectives by Uzair Yousuf Muhammad, Malik Muhammad Hamza, Umair Muhammad

“…A weighted score analysis using the Factor Rating Method (FRM) identifies a 40 MW PVS and 9 MW WTS combination as the most feasible mix, offering substantial energy generation and carbon emissions reduction benefits. …”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
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Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

“…To verify the effectiveness of the proposed method, the SAVEX-15 dataset, real ocean data containing SSN, is used. …”
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On the corpus of speech samples with errors in the use of Russian as a foreign language: methods of data representation and deep markup parameters by S. V. Gusarenko, M. K. Gusarenko

“…The purpose of the study, the results of which are presented in the article, is to develop the optimal composition and method of presenting data in the developed corpus of Russian speech samples with errors made by foreign students. …”
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A Review on State-of-Charge Estimation Methods, Energy Storage Technologies and State-of-the-Art Simulators: Recent Developments and Challenges by Muhtahir O. Oloyede, Godfrey A. Akpakwu, Herman C. Myburgh, Allan De Freitas, Tawanda Kunatsa

“…Batteries are a main source of energy and are usually monitored by management systems to achieve optimal use and protection. …”
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