Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Empirical Mode Decomposition (EMD) has garnered increasing attention due to its ability to analyze non-linear and non-stationary data. This paper reviews the theory and application of EMD in hydrology, including its advantages and limitations. …”
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Decentralized storage technology of network information security level secret key of distribution automation terminal by Jin Yi, Weijie Huang, Lianghao Huang, Guozheng Huang, Guangyong Zheng, Yongle Li

“…Abstract To improve the management efficiency of network information in distribution automation terminals, a study was conducted on the decentralized storage technology of network information security level keys for distribution automation terminals. …”
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Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction by Komei Hiruta, Junsuke Senoguchi

“…The task of predicting stock prices presents significant challenges due to the non-linear relationships between historical and future values and the multitude of factors influencing price fluctuations. …”
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A Bicriteria Approach Identifying Nondominated Portfolios by Javier Pereira, Broderick Crawford, Fernando Paredes, Ricardo Soto

“…Numerical examples show that the optimization and sorting processes both improve computational efficiency of the original algorithm. Their limits are also shown on certain complex instances.…”
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New general single, double and triple conformable integral transforms: Definitions, properties and applications by Mohammad Hossein Akrami, Abbas Poya, Mohammad Ali Zirak

“…Furthermore, the effectiveness of the conformal generalized transform is demonstrated through its application in solving different types of linear and nonlinear fractional differential equations. …”
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Convergence Analysis of an Iterative Method for Nonlinear Partial Differential Equations by Hung-Yu Ke, Ren-Chuen Chen, Chun-Hsien Li

“…We will combine linear successive overrelaxation method with nonlinear monotone iterative scheme to obtain a new iterative method for solving nonlinear equations. …”
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Fast and Reliable Mouse Picking Using Graphics Hardware by Hanli Zhao, Xiaogang Jin, Jianbing Shen, Shufang Lu

“…Our approach uses a multi-layer rendering algorithm to perform the picking operation in linear time complexity. The objectspace based ray-triangle intersection test is implemented in a highly parallelized geometry shader. …”
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Route Optimization for Active Sonar in Underwater Surveillance by Mehmet Gokhan Metin, Mumtaz Karatas, Serol Bulkan

“…For this purpose, we first develop a Mixed Integer Linear Program (MILP) formulation that determines the route for a single source within a field discretized using a hexagonal grid structure. …”
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Pengaruh Pengendalian Akuntansi, Sistem Pelaporan, Dan Kejelasan Sasaran Anggaran Terhadap Akuntabilitas Kinerja Instansi Pemerintah Kabupaten Pekalongan by Dini Indriyani, Muhammad Shulthoni

“…This study used a multiple linear regression test data analysis method with the help of SPSS 26. …”
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Analisis Faktor-Faktor yang Mempengaruhi Efektivitas Sistem Informasi Akuntansi Pada Koperasi Simpan Pinjam di Kecamatan Denpasar Selatan by Kadek Apriada, Putu Riska Wulandari, Ida Bagus Ngurah

“…Accounting information systems are able to provide opportunities for business people to increase efficiency and effectiveness in decision making, thereby enabling companies to achieve competitive advantage. …”
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Optimal Fault Tolerant Control of Large-Scale Wind Turbines in the Case of the Pitch Actuator Partial Faults by Younes Ait El Maati, Lhoussain El Bahir

“…Firstly, a simultaneous state and fault estimation was performed through a suitable LMI (linear matrix inequality) based optimal strategy. …”
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Coordinated Control Strategies for Polymorphic Energy in Hydrogen-Integrated Virtual Power Plants Under the Goal of a Low-Carbon Economy by Siwei Zheng, Guoping Huang, Zhaoxu Luo

“…This study develops a polymorphic energy coordination strategy for virtual power plants (VPPs) to enhance energy efficiency, operational flexibility, and carbon emission reduction. …”
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Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits by Chi Wang, Lin Shi, Junru Luo

“…Experimental results on recommendation and classification tasks show that both algorithms significantly surpass traditional linear and neural methods in computational efficiency and overall performance.…”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The study also highlighted the superior ability of tree-based models to capture the complex, non-linear relationships between variables that impact recovery in SCI patients.DiscussionThis research underscores the potential of machine learning models to enhance the accuracy of outcome predictions in SCI rehabilitation. …”
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Experimental investigation and predictive modelling of CO2 laser processing of wood-plastic composites (WPCs) by Sharizal Ahmad Sobri, Teoh Ping Chow, Tan Koon Tatt, Mohd Hisham Nordin, Andi Hermawan, Mohd Natashah Norizan

“…Energy-based analysis indicated that specific energy input governs cutting efficiency, and linear correlations were established between energy and key quality metrics. …”
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A Study of Performance Output of a Multivane Air Engine Applying Optimal Injection and Vane Angles by Bharat Raj Singh, Onkar Singh

“…The experimental results are also seen much closer to the analytical values, and the performance efficiencies are recorded around 70% to 95% at the speed of rotation 2500–3000 rpm.…”
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Dynamic Stability Analysis and Optimization of Multi-Vehicle Systems in Heterogeneous Connected Traffic by Tao Wang, Dayi Qu

“…Through theoretical analysis of the model’s linear and nonlinear stability, the key parameters that enhance flow stability in mixed environments are determined. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Modeling of an Industrial-scale Adsorption Column Packed with Theobroma Cacao L. for the Removal of Ni (II) by Candelaria N. Tejada Tovar, Angel Villabona-Ortiz, Angel D. Gonzalez-Delgado

“…The results show that the Langmuir II – Lumped Linear Resistance (LDF) model to simulate the adsorption column for Ni (II) removal yields efficiencies of up to 96.4%. …”
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Variational approach to photonic quantum circuits via the parameter shift rule by Francesco Hoch, Giovanni Rodari, Taira Giordani, Paul Perret, Nicolò Spagnolo, Gonzalo Carvacho, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Fabio Sciarrino

“…In this paper, we derive a formulation of the parameter shift rule for computing derivatives and integrals tailored to reconfigurable optical linear circuits and based on the Boson Sampling paradigm. …”
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