Study on acoustic emission evolution features of gas-bearing coal under different gas pressures by Yejiao Liu, Fu Gao, Wenjie Yan, Zeyu Duan, Guangbo Chen, Fengyi Jiang, Zhichao Tian, Jinliang Li

“…The results show that the acoustic emission feature parameters of gas-bearing coal samples show a significant linear decreasing trend with the increase of gas pressure. …”
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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…To further enhance the detection capability, Efficient Feature Learning (EFL) modules are embedded in the neck to improve feature representation. …”
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Enhancing agricultural data interpretability and visualization with TabNet-driven feature extraction and Local Biplots by J. Triana-Martinez, A. Álvarez-Meza, G. Castellanos-Dominguez

“…The method provides an intuitive representation of non-stationary and non-linear data patterns, enhancing both global and cluster-level explainability. Also, we highlight feature loadings based on TabNet's attention scores and evaluate the framework on a synthetic benchmark and two real-world datasets: a forage grasses trial for breeder score prediction and the WMBD wheat dataset for LAI estimation. …”
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Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection by Takahiro Shindo, Taiju Watanabe, Yui Tatsumi, Hiroshi Watanabe

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Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion by Jin Wang, Yan Wang, Junhui Yu, Qingping Li, Hailin Wang, Xinzhi Zhou

“…Then, a parallel processing mechanism of the Convolutional Neural Network (SECNN) based on the Squeeze-and-Excitation module and the Bidirectional Long Short-Term Memory network (BiLSTM) is employed to dynamically adjust weights, capturing high-dimensional spatiotemporal features. The cross-attention mechanism enables the interaction and fusion of spatial and temporal features, significantly enhancing the complementarity and coupling of the feature representations. …”
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Identification of Defects in Low-Speed and Heavy-Load Mechanical Systems Using Multi-Fusion Analytic Mode Decomposition Method by Yanlei Liu, Kun Zhang, Miaorui Yang, Xu Zhang, Yonggang Xu

“…In view of the higher requirements of modern machinery for multi-sensor information acquisition and fusion technology, this paper proposes a novel multi-fusion analytic mode decomposition (MFAMD) method to separate and demodulate fault features in signals. In low-speed and heavy-load equipment, the signals collected by multiple sensors contain unknown and unequal fault features and interference. …”
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TRANSFORMATION AND SCATTERING OF SURFACE WAVES ON THE ACOUSTIC LOAD TO ULTRASONIC EVALUATION AND MEASUREMENTS. Part 2. The object to study – solid with ledge by A. R. Baev, A. L. Mayorov, M. V. Asadchaya, G. E. Konovalov, O. S. Sergeeva

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Predictability of viral load dynamics in the early phases of SARS-CoV-2 through a model-based approach by Andrea Bondesan, Antonio Piralla, Elena Ballante, Antonino Maria Guglielmo Pitrolo, Silvia Figini, Fausto Baldanti, Mattia Zanella

“…The proposed methods exploit real data and the multiscale structure of the infection dynamics to provide robust predictions of the epidemic dynamics. We focused on viral load kinetics whose dynamical features are typically available in the symptomatic stage of the infection. …”
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Pitavastatin-loaded procyanidins self-assembled nanoparticles alleviate advanced atherosclerosis via modulating macrophage efferocytosis and cholesterol efflux by Yizhou Wu, Hongyan Zhou, Hao Liu, Jiayao Hu, Yue Sun, Wei Yan, Chunyi Tong, Ying Kong, Bin Liu

“…Advanced atherosclerosis is the major global cause of death, as featured by the aggregation of apoptotic cells (ACs) in necrotic cores. …”
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Integration of LSTM networks with gradient boosting machines (GBM) for assessing heating and cooling load requirements in building energy efficiency by Reenu Batra, Shakti Arora, Mayank Mohan Sharma, Sonu Rana, Kanishka Raheja, Abeer Saber, Mohd Asif Shah

“…Due to rising demand for energy-efficient buildings, advanced predictive models are needed to evaluate heating and cooling load requirements. This research presents a unified strategy that blends LSTM networks and GBM to improve building energy load estimates’ precision and reliability. …”
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Factors Affecting Mechanical Properties of Impulse Friction Stir Welded AA2024-T351 Under Static and Cyclic Loads by Iuliia Morozova, Aleksei Obrosov, Anton Naumov, Vesselin Michailov, Nikolay Doynov

“…This study investigates the factors affecting the mechanical performance of conventional and impulse friction stir welded (FSW and IFSW) AA2024-T351 joints under static and cyclic loading. Emphasis is placed on the influence of fracture-inducing features such as oxide inclusions, constituent particle distributions, crystallographic texture, and precipitation state. …”
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Design and Performance Verification of Dynamic Load Aware Geographic Routing Protocol in IEEE 802.15.4a Networks by Young-Duk Kim, Soon Kwon, Joon-Woo Son, Dongkyun Kim

“…In this paper, we propose a new dynamic load aware geographical routing protocol, named DLAG, which periodically monitors the channel condition of each node and forwards a packet to the neighboring node with the least traffic load by defining new buffer threshold values for controlling the congestion. …”
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The Electricity Load Prediction Model for Residential Buildings: A Critical Review of Output Types, Prediction Methods and Driving Factors by Zhenjing Wu, Min Qi, Weiling Zhang, Xudong Zhang, Qiang Yang, Wenyuan Zhao, Bin Yang, Zhihan Lyu, Faming Wang, Zhichao Wang

“…The review provided a key perspective for future studies in electricity load prediction by analyzing the regional variations in electricity load characteristics. …”
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Investigation of Free Vibration in Fluid-Loaded Cylindrical Shells with a Three-Layer Sandwich Wall and an Auxetic Central Layer by Korosh Khorshidi, Saboor Savvafi, Sadegh Zobeid

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Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine by Wenjie Guo, Jie Liu, Jun Ma, Zheng Lan

“…Different frequency features are effectively extracted by using the proposed combination kernel structure, which can achieve the balance of learning capacity and generalization capacity for each unique load component. …”
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Structural Performance of a Hollow-Core Square Concrete Column Longitudinally Reinforced with GFRP Bars under Concentric Load by AbdulMuttalib I. Said, Hussein A. Hilfi, Abbas A. Allawi, George Wardeh

“…Twelve hollow short columns were meticulously prepared in the laboratory experiments and subjected to pure axial compressive loads until failure. All columns featured a hollow square section with exterior dimensions of (180 × 180) mm and 900 mm height. …”
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Mice mucosal leishmaniasis model shown high parasite load, increased cytotoxicity and impaired IL-10+ T cell response by Alisson Amaral Da-Rocha, Alisson Amaral Da-Rocha, Júlio Souza Dos-Santos, Júlio Souza Dos-Santos, Igor Santos Bittencourt, Igor Santos Bittencourt, Douglas B. De-Almeida, Douglas B. De-Almeida, Naiara Carla dos Santos Manhães, Naiara Carla dos Santos Manhães, Hozany Praxedes, Hozany Praxedes, João Victor Paiva Romano, João Victor Paiva Romano, Elias Barbosa da Silva-Junior, Antônio José da Silva-Gonçalves, Marcia Pereira Oliveira, Luciana Polaco Covre, Daniel Claudio de Oliveira Gomes, Alda Maria Da-Cruz, Alda Maria Da-Cruz, Alessandra Marcia da Fonseca-Martins, Alessandra Marcia da Fonseca-Martins, Herbert Leonel de Matos Guedes, Herbert Leonel de Matos Guedes

“…Mice infected in the mucosa tissues had higher parasite load and IgG, IgM antibody levels and increased production of cytotoxic mediators such as CD107, granzyme b and perforin, inflammatory cytokines as IFN-γ; and IL-17, but lower frequencies of CD4+ IL-10+ cells compared to ear dermis. …”
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Anticancer properties of copolymer nanoparticles loaded with Foeniculum vulgare derivatives in Hs578T and SUM159 cancer cell lines by Shima Bourang, Sodabeh Jahanbakhsh Godehkahriz, Mehran Noruzpour, Rasool Asghari Zakaria, Sergio Granados-Principal

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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…Furthermore, gravel-bed rivers have features that distinguish them from sand-bed rivers and caused problems and challenges in their analysis. …”
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Research on future trends of electricity consumption based on conditional generative adversarial network considering dual‐carbon target by Jinghua Li, Zibei Qin, Yichen Luo, Jianfeng Chen, Shanyang Wei

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