Improved soil moisture retrieval during crop growing season using passive microwave data at L-band by Minfeng Xing, Kai Cui, Taifeng Dong, Ming Ma, Xin Zhou, Yi Zhang

“…The method is then integrated into the Single Channel Algorithm (SCA) and the L-band Microwave Emission of the Biosphere (L-MEB) model, respectively, to improve the accuracy of SM retrieval. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…This knowledge helps in identifying critical factors that significantly influence the model’s outcomes and can guide efforts to improve the accuracy and reliability of predictions. …”
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Reliability growth model of quantum direct current electricity meter software based on optimization network by TIAN Teng, QIU Rujia, ZHAO Long, GENG Jiaqi, WANG Enhui, SUN Yu

“…Quantum direct current electricity meter is one of the important instruments in smart grid, the reliability growth model is of great significance to improve its reliability. …”
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Algorithmic management and human-centered task design: a conceptual synthesis from the perspective of action regulation and sociomaterial systems theory by Carsten Röttgen, Britta Herbig, Tobias Weinmann, Andreas Müller

“…Based on these considerations, the main question of future research is not whether AM is good or bad for workers, but rather how work under AM can be designed to be humane. Our proposed model can guide and support researchers and practitioners in improving the understanding of the next generation of AM systems.…”
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New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources by Mehdi Sanaei, Hamidreza Akbari, Zohreh Beheshtipour, Somayeh Mousavi

“…This research introduces an innovative model to enhance power quality within electrical networks interconnected with photovoltaic (PV) sources. …”
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Prediction of Water Quality in Agricultural Watersheds Based on VMD-GA-LSTM Model by Yuxuan Luo, Xianglan Meng, Yutong Zhai, Dongqing Zhang, Kaiping Ma

“…In order to solve the nonlinear and non-stationary characteristics of water quality data, this paper proposes a combined model based on variational modal decomposition and genetic algorithm optimization of long short-term memory networks (VMD-GA-LSTM) for agricultural watershed water quality prediction. …”
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SFP selection algorithm for SFC by Yongqing ZHU, Xia GONG, Huanan CHEN

“…In order to achieve the new business deployment model by the convergence of cloud and network,SFC technology has been promoted greatly.As one of the key technologies in SFC,the SFP selection strategy affects the network performance and business experience directly.Aiming at the single target defect existing in business path se-lection strategy,the minimum weight algorithm based on the network delay and load was proposed and simulated.It could optimize the resources allocation and improve the network performance.A technical reference was provided for the operators to deploy the network and resources in the future.…”
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Improved model-free sliding mode control of permanent magnet synchronous motor drive system based on quick reaching law by HUANG Yishan, TANG Runzhong, KUANG Mingqiu, LIU Jianhua, ZHAO Kaihui, CHENG Xiang

“…To solve the problem that the overall control performance of permanent magnet synchronous motor (PMSM) drive system does not achieve the expected performance index when using conventional model-free sliding mode control (CMFSMC) algorithm, an improved MFSMC based on the quick reaching law was proposed. …”
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An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain by Muhammad Asrol, . Suharjito, Riyanto Jayadi

“…This research contributes to improving the model by employing genetic algorithms in optimizing the inference model by activating only five out of seven rules. …”
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ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models by Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-Garcia, Mario A. T. Figueiredo

“…Just as boosting algorithms aim at obtaining accurate ensembles of simple classifiers, using a process guided by the accuracy of each of these classifiers, the method proposed in this paper builds an ensemble guided by the uncertainty of each of its individual models. …”
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Development of interaction model for air traffic controllers and pilots using discrete mathematics methods by A. I. Stepnova, V. I. Kochergin, S. M. Stepanov, V. A. Borsoev

“…The purpose of the article is to create a database of errors and to develop an algorithm for a situational decision-making model taking into account availability of potential errors of air traffic controllers and pilots. …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…Optimal energy hub scheduling (EHS) has emerged as a promising strategy for improving the efficiency and flexibility of power systems. …”
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An Analytical Model for Dynamic Spectrum Sensing in Cognitive Radio Networks Using Blockchain Management by Nikhil Kumar Marriwala, Sunita Panda, Chandran Kamalanathan, Narayanan Sadhasivam, Vootla Subba Ramaiah

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Reinforcement learning-based multi-model ensemble for ocean waves forecasting by Weinan Huang, Xiangrong Wu, Xiangrong Wu, Haofeng Xia, Haofeng Xia, Haofeng Xia, Xiaowen Zhu, Yijie Gong, Xuehai Sun

“…The model ensemble algorithm effectively reduces systematic biases, improving both the stability and accuracy of wave predictions. …”
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PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations by Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei

“…The results presented that among the four ML algorithms, GBR confirmed good model performance compared to the other models, with the lowest MSE (5.33) and RMSE (2.31), as well as high accuracy measures. …”
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Modeling and Solving the Multi-Objective Vehicle Routing Problem with Soft and Fuzzy Time Windows by Ailing Chen, Tianao Li

“…Therefore, this paper considers both soft time windows and fuzzy time windows, improving upon the traditional VRPSTW and VRPFTW models to establish a more comprehensive and realistic model called the Vehicle Routing Problem with Soft Time Windows and Fuzzy Time Windows (VRPSFTW). …”
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Photovoltaic Module Fault Detection Technology Based on Remote Sensing Technology and Deeplabv3+ Model by Xiaowei Xu, Mingxian Liu, Yongjie Nie, Ke Wang, Wenhua Xu

“…The statistical test results showed that the improved K-means algorithm was significantly better than the traditional K-means in clustering accuracy, and its average error was only 0.008, which was much lower than the 0.035 of the traditional K-means. …”
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Optimization model and heuristic solution method for multi-channel cooperative sensing in cognitive radio networks by Wei YANG, Dong-song BAN, Huan-zhong LI, Wen-hua DOU

“…An optimization model under the scenario where multi-channels are cooperatively sensed and used by multi-secondary users (SU) was proposed.The model aims to maximize the system throughput and optimizes the parameters including the sensing time and the weight coefficient of the sampling result of each SU for each channel,meanwhile the false access probability for each channel must not violate the given constraints.To solve this non-linear optimization model,a sequential parameters optimization method(SPO)was proposed.The method begins with deriving the lower bound of the objective function of the optimization model.Then it maximizes this lower bound by optimizing the weight coefficients through solving a series of sub-optimal problems using Lagrange method,and finally finding an optimized sensing time parameter by the golden search algorithm.Extensive experiments by simulations demonstrate the effectiveness of the proposed method and the advantage of the proposed model on improving the system throughput.…”
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Ensemble distribution model of Muga Silkworm (Antheraea assamensis) and its primary host plant Soalu (Litsea monopetala) in defined climate space by Kuladip Sarma, Vivek Chetry, Amal Bawri, Keshob Jyoti Borah, Bulbuli Khanikor, Tarali Kalita, Banasri Mech, Malabika Kakati Saikia, Manas Das

“…The climate space was defined in two dimensional space using Principal Component Analysis (PCA) to simplify the models. Altogether two model algorithms were used to get the final ensemble model for both the MSW and the two primary host plants. …”
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Improved Real‐Time Hail Damage Estimates Leveraging Dense Crowdsourced Observations by Timo Schmid, Valentin Gebhart, David N. Bresch

“…Using 65,000 hail damage claims from August 2020 to September 2023, an impact function is calibrated and used to model hail damage to buildings. The new crowdsource‐based hail size product improves hail damage estimates in comparison to the radar‐based data, largely due to an improved distinction of severe and sub‐severe hail within a storm. …”
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