Vegetation Quality Assessment of the Shaanxi Section of the Yellow River Basin Based on NDVI and Rain-Use Efficiency by Zhao Liu, Danyue Wang, Lei Han, Hongliang Kang, Xinxin Cao

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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…Neural-network quantum states (NQS) has emerged as a powerful application of quantum-inspired deep learning for variational Monte Carlo methods, offering a competitive alternative to existing techniques for identifying ground states of quantum problems. …”
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Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

“…Friston proposed the Minimum Free Energy Principle (FEP) based on the Variational Bayesian (VB) method. This principle emphasizes that the brain and behavior coordinate with the environment, promoting self-organization. …”
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Evaluating conventional and renewable energy systems for green buildings: A case study on energy efficiency and cost optimization by Karim Mohamed Ragab, Mehmet Fatih Orhan

“…These findings demonstrate the significant influence of outside temperature on the building's energy requirements and costs, underscoring the importance of considering temperature variations in energy efficiency and cost optimization strategies.…”
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Twig age 2.0: A novel and reliable method to track variation in ungulate browsing over species, sites and time by Donald M. Waller

“…Abstract Ungulate (deer) browsing threatens forest diversity and tree regeneration, but without efficient and reliable methods, we cannot monitor these impacts. …”
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A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities by Habib ur Rehman, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

“…Numerical findings are presented to showcase the algorithm’s effectiveness, highlighting its computational efficiency and practical relevance. A notable conclusion is that using double inertial extrapolation steps, as opposed to the single step commonly seen in the literature, provides substantial advantages for variational inequalities.…”
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Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

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Developing Geometry Based Criterion Function Method for Predicting Porosity in LM6 Castings by A. Sata, N. Maheta, H. Khandelwal, S.K. Gautam

“…Predictive method is crucial to solving this problem. Criterion function is a noteworthy empirical model that has been extensively studied in the literature. …”
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Capacity allocation method for a hybrid energy storage system participating in secondary frequency regulation based on variational mode decomposition by Taiying Zheng, Minghao Ye, Qinghua Wu

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Research of the Fractal Extrapolation of Transmission System Load Signal of Tracked Vehicle by Wang Yanzhong, Chen Yanyan, Zhou Guangming, Jia Shuang, Lv Qingjun, Zhang Zuzhi

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Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios by Guoxu Zhang, Tianyi Liao, Yingyi Chen, Ping Zhong, Zhencai Shen, Daoliang Li

“…Furthermore, FAMDet has still outperformed multiple lightweight methods (EfficientDet, RT-DETR, GhostNetV2, EfficientFormerV2, EfficientViT, and MobileNetV4). …”
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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China by Dewei Xie, Zhaopei Zheng, Xin Ding, Lihong Wei, Yu Lan

“…Abstract As a key ecological parameter, NPP measures the photosynthetic efficiency of plants in capturing atmospheric carbon. …”
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Method based on contrastive incremental learning for fine-grained malicious traffic classification by Yifeng WANG, Yuanbo GUO, Qingli CHEN, Chen FANG, Renhao LIN, Yongliang ZHOU, Jiali MA

“…In order to protect against continuously emerging unknown threats, a new method based on contrastive incremental learning for fine-grained malicious traffic classification was proposed.The proposed method was based on variational auto-encoder (VAE) and extreme value theory (EVT), and the high accuracy could be achieved in known, few-shot and unknown malicious classes and new classes were also identified without using a large number of old task samples, which met the demand of storage and time cost in incremental learning scenarios.Specifically, the contrastive learning was integrated into the encoder of VAE, and the A-Softmax was used for known and few-shot malicious traffic classification, EVT and the decoder of VAE were used for unknown malicious traffic recognition, all classes could be recognized without a lot of old samples when learning new tasks by using VAE reconstruction and knowledge distillation methods.Experimental results indicate that the proposed method is efficient in known, few-shot and unknown malicious classes, and has greatly reduced the forgetting speed of old knowledge in incremental learning scenarios.…”
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Efficiency Analysis of Container Ports in Vietnam Using Stochastic Frontier Analysis by Thanh Uyen Bui, Gyu Sung Cho

“…The methods were used to analyze the variations in port efficiency, including aspects such as distribution, rankings, identification of the best and worst ports, and determinants of the efficiency frontier. …”
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Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine. by Yue Yuan

“…To achieve this goal, this paper proposes a novel hand motion recognition method based on variational mode decomposition (VMD) and ReliefF. …”
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Two-Dimensional Spatial Variation Analysis and Correction Method for High-Resolution Wide-Swath Spaceborne Synthetic Aperture Radar (SAR) Imaging by Zhenyu Hou, Pin Li, Zehua Zhang, Zhuo Yun, Feng He, Zhen Dong

“…In previous studies on the correction of two-dimensional spatial variation in spaceborne SAR, either the models were not accurate enough or the computational efficiency was low, limiting the application of corresponding algorithms. …”
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Convergence Analysis for System of Cayley Generalized Variational Inclusion on <i>q</i>-Uniformly Banach Space by Mohd Falahat Khan, Syed Shakaib Irfan, Iqbal Ahmad

“…To validate the effectiveness of the proposed iterative method, we provide a numerical result supported by a computational graph and a convergence plot, illustrating its performance and efficiency.…”
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An efficient dynamic reliability method for maglev vehicle-bridge systems and its application in random controller parameters analysis by Lidong Wang, Qingrong Li, Xun Zhang, Xiumeng Bu, Peng Hu, Yan Han

“…This article presents an efficient method for analyzing the dynamic reliability of maglev vehicle-bridge coupled systems by combining a theoretical model with an adaptive surrogate model and the probability density evolution method (PDEM). …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…In order to identify the nonlinear classification of bearing fault features more accurately， a fault identification method based on IFOA-SVM is proposed. Firstly， the variational mode decomposition method is used to decompose the vibration signals of the bearing， and the fuzzy approximate entropy and energy entropy of the modal component is used to form fault characteristics. …”
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Methodology of expert evaluation of effectiveness of methods of organizational diagnostics by T. V. CHIBIKOVA

“…The technique of an estimation of efficiency of methods of organizational diagnostics is offered. …”
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