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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Fuzzy Neural Technique Based Dynamic Voltage Restorer for Power Quality Enhancement Under Different Voltage Variations by Abdul-Jabbar Fathel Ali, Wael Hussein Zayer, Samhar Saeed Shukir

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Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

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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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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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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds by Anatoliy Zhuchenko, Oleksiy Kuchkin, Artem Sazonov, Danylo Zghurskyi

“…Statistical characteristics of data analysis were used to compare the methods. The results demonstrate the most energy efficient flat surface detection method that processes 60 RGB-D camera frames per second.…”
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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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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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Evaluating Variational Quantum Eigensolver Approaches for Simplified Models of Molecular Systems: A Case Study on Protocatechuic Acid by Gleydson Fernandes de Jesus, Erico Souza Teixeira, Lucas Queiroz Galvão, Maria Heloísa Fraga da Silva, Mauro Queiroz Nooblath Neto, Bruno Oziel Fernandez, Amanda Marques de Lima, Eivson Darlivam Rodrigues de Aguiar Silva, Clebson dos Santos Cruz

“…Subsequently, all VQE results were compared to those obtained with the CISD and FCI methods. The results demonstrate that Ansatzes, like Unitary Coupled Cluster Singles and Doubles (UCCSD) and variations of Hardware-Efficient Ansatzes, generally achieve accuracy close to that of FCI. …”
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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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Quantum computing for molecular vibrational energies: A comprehensive study by Somasundaram R., Jayaharish R., Rohith Ramanan, Chandra Chowdhury

“…Furthermore, we employ the CHC Ansatz in conjunction with the Variational Quantum Deflation (VQD) algorithm to determine the excited vibrational state energies, which is compared against the reliable method of quantum Equation of Motion(qEOM). …”
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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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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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Microbial insights into ruminal fiber degradation and feed efficiency of Hu sheep by Haoyu Xu, Guoxiu Wang, Qihao Gao, Zhen Liu, Jiale Jia, Yunfei Xu, Zhanyu Chen, Baosheng Li, Chong Li

“…Ruminal fiber degradation is essential for feed conversion efficiency in sheep; however, it remains unclear whether individual variations in ruminal fiber degradation directly affect feed conversion 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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Optimizing air velocity for energy-efficient and sustainable rubberwood drying kilns by Suratsavadee K. Korkua, Choosak Rittiphet, Siraporn Sakphrom, Santanu Kumar Dash, Chalearm Tesanu, Kamon Thinsurat

“…Traditional methods often struggle with dynamic variations in drying behavior, making precise control challenging. …”
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Quantifying variation of non-point source pollution and its impact factors: A study of Nansi Lake Basin. by Jiachen Liu, Yuan Tian, Rongqiang Ma, Wenhui Xie, Dongchao Wang, Luoan Yang, Xinyu Wang, Le Yin, Baolei Zhang

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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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