Harnessing urban biomass for energy and water production: an NSGA-II-based optimization approach by Parviz Heydari Nasab, Ata Chitsaz, Hiva Rashidzadeh, Alireza Rostamzadeh Khosroshahi

“…Finally, using objective functions, the (LCOE) and exergy efficiency has been optimized using MATLAB software with the Non-dominated Sorting Genetic Algorithm (NSGA II) method. …”
Get full text

Comparison between the Conventional Partial Least Squares (Pls) and the Robust Partial Least Squares (Rpls-Sem) Through Winsorization Approach by GholamReza Zandi, Fadya Ramadan Shakhim, Zulkifley Mohamed, Amel Saad Alshargawi

“…Furthermore, the researchers compared the novel RPLS-SEM approach with the traditional PLS-SEM approach and noted that the novel RPLS-SEM method was more efficient compared to PLS-SEM.…”
Get full text

Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation by Balaban Dario, Lubura Jelena, Kojić Predrag

“…Yoon interpretation method was used for quantifying the relative impacts of each input variable on syngas content and gasification efficiency. …”
Get full text

Utilization of Rural Resource Assets: Time-Space Estimate on the Total Factor Productivity by Lan Wang, Cong Li

“…In this paper, time measure and space measurement are adopted alternatively, and spatiotemporal vertical-horizontal progressive deduction is built with the improved model, so as to set up a perfect spatiotemporal dynamic effect evaluation system: First of all, improve the U-HDM-GML index model, study on the improvement strategy for input redundancy and unexpected output redundancy in the utilization efficiency of rural collective resources assets in various provinces of China, as well as the equilibrium rupture relation between the two from the perspective of global space and time, and at the same time of fulfilment of time measurement and estimation, provide support for better expressing the spatial effect in terms of improving approach and strategy; secondly, measure the improvement strategy of the total factor productivity of research samples with the spatial expletory ESDA test method, and it is also applicable to global spatial effect evaluation system; finally, apply FE-SDM to further analyze the difference of spatial effect of total factor productivity in rural resource asset utilization. …”
Get full text

Research on the Digital Level Calculation and Construction Path of Fishery Under the Background of “Blue Granary” Strategy by LIU Dan, CHEN Qiuying, MA Naiyi

“…It was found there are significant differences in efficiency, stability, and input-output optimization among different regions. …”
Get full text

A novel high-voltage fault-tolerant permanent magnet synchronous generator for far offshore wind turbines by Pengzhao Wang, Xiangjun Zeng, Yiping Luo

“…However, conventional three-phase wind generators with low output voltages necessitate complex power conversions and expensive offshore converter stations. …”
Get full text

System Dynamics Modeling Can be Leveraged to Predict Critical Care Pathways and Costs for End Stage Renal Disease: US Population to 2020 by Luca Fernandez, Christopher Koliba, Asim Zia, Katharine Cheung, Richard Solomon, Christopher Jones

“…Using a web interface that allows users to alter certain combinations of parameters, several demonstration analysis were run to predict the impact of three policy interventions on the future of ESRD care # Results The model was successfully calibrated against the output of United States Renal Data System’s (USRDS) prior predictions and tested by comparing the output to historical data. …”
Get full text

A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…In this paper, we propose an efficient mixed-precision search method that tackles this problem. …”
Get full text

Advanced control strategies for multilevel inverter in grid-connected and off-grid photovoltaic systems: A multi-objective approach using LS-PWM for THD reduction by Fatima Chakir, Abdelmounime El Magri, Mohamed Kissaoui, Rachid Lajouad, Abderrahim El Fadili, Mostafa Chakir

“…Extensive simulations conducted in the MATLAB/Simulink environment demonstrate the robustness and stability of the proposed control methods. Results show significant improvements in energy production, power quality, and system efficiency, validating the effectiveness of our advanced control strategies in real-world scenarios.…”
Get full text

Designing a model of the role of social media in crisis management and digital supply chain resilience by Farhad Jahangiri, Abolfazl Danaei, Mahsa Akbari, Younos Vakil Alroaia

“…This research employs a fundamental-applied approach and follows an exploratory mixed-methods design, integrating both qualitative and quantitative data. …”
Get full text

Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…The robustness of the solution method is further demonstrated by comparing the MPA’s performance with other optimization techniques in terms of solution quality and computational efficiency. …”
Get full text

Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…Then, according to the contribution, we update each neuron’s weight to reduce the error gradually and improve the accuracy of the output result. The method can quickly and effectively identify the adjacent supervoxels in the convolution kernel, effectively reduce the number of parameters of the network, and alleviate the problems of overfitting and long training time to improve computational efficiency. …”
Get full text

Towards precision in bifacial photovoltaic system simulation: a model selection approach with validation by Eva-Maria Grommes, Maximilian Koch, Jean-Régis Hadji-Minaglou, Holger Voos, Ulf Blieske

“…The findings indicate that the Ray tracing method is the most accurate of the irradiance simulation modes for most scenarios. …”
Get full text

The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…ResNet50 includes residual blocks, each containing multiple convolutional layers and a skip connection, enabling the network to learn differences between inputs and outputs rather than directly learning outputs, thus improving performance. …”
Get full text

Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization by Wei Wang, Peng Chen, Guorui Ren, Jizhen Liu, Fang Fang, Zhe Chen

“…Power imbalance caused by efficiency difference during dynamic adjustment of energy storage output power is addressed. …”
Get full text

Fast real-time detection and counting of thrips in greenhouses with multi-level feature attention and fusion by Zhangzhang He, Xinyue Chen, Ying Gao, Yu Zhang, Yuheng Guo, Tong Zhai, Xiaochen Wei, Huan Li, Haipeng Zhu, Yongkun Fu, Zhiliang Zhang, Zhiliang Zhang

“…Their tiny size, rapid reproduction, and wide host range make them prone to outbreaks, necessitating precise and efficient population monitoring methods. Existing intelligent counting methods lack effective solutions for tiny pests like thrips. …”
Get full text

Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection by Eduardo Gomes, Augusto Esteves, Hugo Morais, Lucas Pereira

“…This work explores the effectiveness of explainable artificial intelligence in mapping solar photovoltaic power outputs based on weather data, focusing on short-term mappings. …”
Get full text

Principles of creating a digital twin prototype for the process of alkylation of benzene with propylene based on a neural network by K. G. Kichatov, T. R. Prosochkina, I. S. Vorobyova

“…The adequacy of calculations was determined by statistics methods. A microcontroller prototype of the process was created.Results. …”
Get full text

Advancing Early Diagnosis: Predicting Mild Cognitive Impairment Progression in Normal Individuals Using Deep Learning on MRI Features by Abdullah Baktash, Yashar Sarbaz, Saeed Meshgini, Reza Afrouzian

“…By enhancing prediction efficiency for early disease progression in normal individuals, our method can potentially advance intervention strategies and improve patient care outcomes.…”
Get full text

Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach by Yonghui Liu, Qian Li, Inhi Kim

“…To address these challenges, we propose a progressive chunked transformer (ProChunkFormer), which is a deep learning method for trajectory reconstruction that employs self-attention mechanisms and chunked processing to balance efficiency with accuracy. …”
Get full text