Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection by Paolo Fazzini, Giuseppe La Tona, Matteo Diez, Maria Carmela Di Piazza

“…This work contributes to ongoing efforts in optimizing decomposition methods for predictive modeling in energy management, opening new avenues for improving shipboard power grid efficiency.…”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM) algorithm, the method ensures consistency across response variables and computational efficiency. …”
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Filamentary Convolution for SLI: A Brain-Inspired Approach with High Efficiency by Boyuan Zhang, Xibang Yang, Tong Xie, Shuyuan Zhu, Bing Zeng

“…This method addresses aliasing limitations while maintaining computational efficiency in SLI systems.…”
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Structural-and-Parametric Optimization of Automatic Control System for Power Units of 300 MW in Wide Range of Load Variations by K. I. Artsiomenka

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PEYOLO a perception efficient network for multiscale surface defects detection by Xun Li, Yuzhen Zhao, Xiangke Jiao, Qingzhe Meng, Zhun Guo, Ruijuan Yao, Yaqiao Yang, Baoxi Yuan

“…The proposed method is evaluated on three public steel defect datasets: NEU-DET, GC10-DET, and Severstal. …”
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CTDA: an accurate and efficient cherry tomato detection algorithm in complex environments by Zhi Liang, Caihong Zhang, Zhonglong Lin, Guoqiang Wang, Xiaojuan Li, Xiangjun Zou

“…To ensure accuracy and efficiency in detecting cherry tomatoes in complex environments, the study proposes a precise, realtime, and robust target detection algorithm: the CTDA model, to support robotic harvesting operations in unstructured environments.MethodsThe model, based on YOLOv8, introduces a lightweight downsampling method to restructure the backbone network, incorporating adaptive weights and receptive field spatial characteristics to ensure that low-dimensional small target features are not completely lost. …”
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Insertion sequences accelerate genomic convergence of multidrug resistance and hypervirulence in Klebsiella pneumoniae via capsular phase variation by Da-Wei Wei, Yuqin Song, Yi Li, Gang Zhang, Qi Chen, Linhuan Wu, Jiangqing Huang, Xueru Tian, Chao Wang, Jie Feng

“…However, during long-term intestinal colonization, IS element excision restored capsule expression, leading to the recovery of hypervirulence and enhanced colonization efficiency. Conclusions Our findings reveal that IS elements mediate capsular phase variation by toggling gene activity, accelerating the genomic convergence of multidrug resistance and hypervirulence in K. pneumoniae, as well as facilitating adaptive transitions in different environments.…”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

“…However, with advent of high speed and cheaper signal processors and development of efficient algorithms, MPC is rapidly becoming the control method of choice for energy‐efficient drive control.…”
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Does climatic variation drive the adjustment of functional traits? An assessment of Tropical Montane Cloud Forest tree species by Agustina Rosa Andrés-Hernández, Ernesto C. Rodríguez-Ramírez

“…Notably, hydraulic efficiency (e.g., wider vessels) aligned with higher precipitation, while drought-associated traits (e.g., denser veins) linked to elevated temperatures.DiscussionTMCF species exhibit trait-based strategies balancing hydraulic safety and efficiency, reflecting niche partitioning under microclimatic gradients. …”
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Application of Modified Laplace Variational Iteration Hybrid Approach for Solving Time-Fractional Fourth-Order Parabolic PDEs by Mehari Fentahun Endalew, Xiaoming Zhang

“…The modified Laplace variational iteration approach and the homotopy perturbation method were used to treat nonlinear, fourth-order, time-fractional partial differential equations with time-fractional derivatives. …”
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Heterogeneous attention multi-scale network for efficient weld seam classification by Enpei Guo, Feixu Chen

“…Notably, HAMS-Net maintains robust performance across varying industrial conditions while requiring fewer computational resources than existing methods. These results establish HAMS-Net as a practical solution for industrial weld classification, offering both improved accuracy and operational efficiency.…”
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Multi-Frame Depth Super-Resolution for ToF Sensor With Total Variation Regularized L1 Function by Jonghyun Kim, Jaeduk Han, Moon Gi Kang

“…In this paper, we propose a multi-frame depth super-resolution (SR) method based on <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> data fidelity with the total variation regularization (TV-<inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula>) model. …”
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A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

“…Three feature selection methods---ReliefF, Minimum Correlation, and Minimum Redundancy Maximum Relevance (MRMR)---are employed to identify the most relevant input variables from a dataset collected in the Ghardaia region. …”
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Regional disparities and dynamic evolution of suicide prevention and intervention efficiency in Japan by Yin Tang

“…The research aims to identify spatial disparities and dynamic evaluation in SPI efficiency, providing actionable insights for policymakers.MethodsWe employed a three-stage Modified Slacks-Based Measure of Super Efficiency to evaluate the SPI implementation efficiency of prefectural governments. …”
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Approximate Solutions of Nonlinear Boundary Value Problems by Collocation Methods Compared to Newer Methods by Hasan Ömür Özer, Birkan Durak, Aziz Sezgin, Lütfi Emir Sakman

“…A large variety of new methods are being developed for fast and efficient solutions of nonlinear boundary value problems. …”
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Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters by Meishuang Yan, Lu Chen, Wei Hu, Zhihong Sun, Xueguang Zhou

“…Experiments on the RML2016.10a dataset demonstrate a 15.7% improvement in separation efficiency over conventional methods, with robust performance for BPSK and QPSK signals, achieving correlation coefficients above 0.9 and signal-to-noise ratio (SNR) improvements of up to 24.66 dB.…”
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Exploring the genetic variation of wheat-Triticum timopheevii introgression lines for flowering morphology traits for hybrid wheat use by Manel Othmeni, Surbhi Grewal, Jack Walker, Stella Hubbart-Edwards, Cai-yun Yang, Duncan Scholefield, Stephen Ashling, Ian P. King, Julie King

“…The aim of this study was to identify genomic regions associated with flowering morphology traits in the wild relative Triticum timopheevii.Materials and methodsA set of 24 wheat-T. timopheevii introgression lines were screened for seven flowering-related traits: plant height, spike length, number of spikelets per spike, anther extrusion, filament length, anther length and pollen size.ResultsA significant level of variation was observed among the population for all traits. …”
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Biochemical properties of lactic acid bacteria for efficient silage production: an update by Muhammad Faheem Akhtar, Chai Wenqiong, Muhammad Umar, Wang Changfa

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An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships by Armin Letafat, Mehdi Rafiei, Masoud Ardeshiri, Morteza Sheikh, Mohsen Banaei, Jalil Boudjadar, Mohammad Hassan Khooban

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Lightweight and efficient skeleton-based sports activity recognition with ASTM-Net. by Bin Wu, Mei Xue, Ying Jia, Ning Zhang, GuoJin Zhao, XiuPing Wang, Chunlei Zhang

“…Skeletal data has emerged as a robust modality for HAR, overcoming challenges such as noisy backgrounds and lighting variations. However, current Graph Convolutional Network (GCNN)-based methods for skeletal activity recognition face two key limitations: (1) they fail to capture dynamic changes in node affinities induced by movements, and (2) they overlook the interplay between spatial and temporal information critical for recognizing complex actions. …”
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