Multi-Criteria Optimization of a Hybrid Renewable Energy System Using Particle Swarm Optimization for Optimal Sizing and Performance Evaluation by Shree Om Bade, Olusegun Stanley Tomomewo, Ajan Meenakshisundaram, Maharshi Dey, Moones Alamooti, Nabil Halwany

“…Results demonstrate that the PSO-optimized system achieves an ASC of USD6,336,303, an LPSP of 0.01%, and a REF of 90.01%, all of which are reached after 25 iterations. When compared to the Genetic Algorithm (GA) and hybrid GA-PSO, PSO improved cost-effectiveness by 3.4% over GA and reduced ASC by 1.09% compared to GAPSO. …”
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OptiSAIL: A system for the simultaneous retrieval of soil, leaf, and canopy parameters and its application to Sentinel-3 Synergy (OLCI+SLSTR) top-of-canopy reflectances by Simon Blessing, Ralf Giering, Christiaan van der Tol

“…This paper describes the selected algorithm for the ESA climate change initiative vegetation parameters project. …”
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Effect of immunization registry-based provider reminder to initiate HPV vaccination at age 9, Washington state by Trevor Christensen, Sherri Zorn, Kathy Bay, Katherine Treend, Chrystal Averette, Nicole Rhodes

“…The reach of IIS forecaster updates may be enhanced by working with administrators of electronic medical record systems to ensure parity of provider prompts with IIS.…”
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Enhancing Short-Term Prediction of BDS-3 Satellite Clock Bias Based with BSO Optimized BP Neural Network by Shaoshuai Ya, Xingwang Zhao, Chao Liu, Jian Chen, Chunyang Liu, Haojie Hu

“…The positioning accuracy of the BSO-BP model can reach the centimeter level in east, north, and up directions.…”
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Pear Fruit Detection Model in Natural Environment Based on Lightweight Transformer Architecture by Zheng Huang, Xiuhua Zhang, Hongsen Wang, Huajie Wei, Yi Zhang, Guihong Zhou

“…In this paper, the accuracy rate, recall rate and average accuracy of the improved model reached 93.7%, 91.9% and 98%, respectively, and compared with the original model, the number of params, calculation amount and weight memory was reduced by 48.47%, 56.2% and 48.31%, respectively. …”
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On Variable-Universe Fuzzy Control for Drive Chain of Front-End Speed Regulated Wind Generator by Hongwei Li, Kaide Ren, Haiying Dong, Shuaibing Li

“…The multipopulation genetic algorithm (MPGA) is adopted to intelligently optimize the parameters of the expansion factor of the designed variable-universe fuzzy controller (VUFC). …”
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A Lightweight Model for Small-Target Pig Eye Detection in Automated Estrus Recognition by Min Zhao, Yongpeng Duan, Tian Gao, Xue Gao, Guangying Hu, Riliang Cao, Zhenyu Liu

“…To enable non-contact, automated estrus detection, this study proposes an improved algorithm, Enhanced Context-Attention YOLO (ECA-YOLO), based on YOLOv11. …”
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A deep learning model with machine vision system for recognizing type of the food during the food consumption by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…For the 32-class case, the accuracy reached 99%, with the mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE) recorded at 0.0079, 0.035, and 0.18, respectively. …”
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Multi-Step Prediction of TBM Tunneling Speed Based on Advanced Hybrid Model by Defu Liu, Yaohong Yang, Shuwen Yang, Zhixiao Zhang, Xiaohu Sun

“…Finally, several subsequences were fed into a Long Short-Term Memory (LSTM) network optimized by the Sparrow Search Algorithm (SSA) for multi-step training and prediction, and the predicted results of each subsequence were added up to obtain the final result. …”
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Design and Experimental Study of Dual-spool Incremental High-water-based Digital Valve by He ZHANG, Jiyun ZHAO, Yunfei WANG, Ge WANG

“…During the 0.2 mm step response, the flow rate reaches 13 L/min with a response time of 0.25 s and a steady-state fault of 3 μm, which performs well.…”
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Optimal design of renewable driven polygeneration system: A novel approach integrating TRNSYS-GenOpt linkage by Muhammad Shoaib Saleem, Naeem Abas

“…Hydrogen production via electrolyzer reaches 54 m³ per day and 12,696 m³ annually, contributing to green energy storage. …”
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Flight safety event management method as illustrated by a guided reactivity model by B. I. Bachkalo, S. D. Baynetov, S. G. Bolbat

“…When a certain number of events in one or several complete groups of events is reached, the aviation system protection algorithm, by preventing the occurrence of the remaining one or several events of the complete group, prevents erroneous actions of the crew, which prevents the occurrence of aviation incidents and accidents. …”
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ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing by Meiya Dong, Jumin Zhao, Deng-ao Li, Biaokai Zhu, Sihai An, Zhaobin Liu

“…Then it uses the powerful neural network processing unit module of the edge computing unit, combined with the convolutional neural network algorithm transplanted to the edge, to detect the defects of solar panels in real time. …”
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Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

“…This has allowed companies and products to reach a wider audience in terms of marketing and advertising, and to gauge feedback from the public. …”
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Study on the calculation of surface residual deformation in goaf based on the Gudermann time function by Haiguang Du, Wenchang Wang, Zhilin Dun, Lianwei Ren, Yakun Nan

“…The Gudermann time function can be effectively adopted for the calculation of the residual deformation of the surface in goaf, while SAA is calculated at different times, the contour diagrams clearly show that residual subsidence increases gradually along the mining direction and reaches the maximum value at the surface near the stopping line, which is consistent with the actual mining process of the working face and proves the feasibility of the model calculation method. …”
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Landslide hazard early warning method for rock slopes using a hybrid LSTM-SARIMA data-driven model. by Yongxin Dai, Zijian Li, Jingbiao Lu

“…This paper proposes a comprehensive technical system for landslide early hazard warning in open-pit mine slopes, encompassing the full process of monitoring data acquisition and processing, analysis of influencing mechanisms, intelligent algorithm-based prediction, and the construction of early hazard warning indicators. …”
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Model experimental study of filling property of ring-type geotextile tube by LAI Zhiqiang, XU Shuling, ZHAO Lianjun, Chen Lin, ZHANG Ming

“…Leveraging machine learning principles, the heights of the filled tube bags under three different filling methods—counterclockwise, radial, and vertical—were simulated and predicted using the random forest algorithm, based on experimentally measured heights. …”
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A new approach in prevention and correction of intradialysis hypotension in patients on maintenance hemodialysis by I. Yu. Drachev, V. Yu. Shilo, G. S. Dzhulay

“…However, these data did not reach the statistical significance (p = 0.07).Conclusion. …”
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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…In addition, the proposed single-device scheduling algorithm is also extended to multi-device scheduling scenarios. …”
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Prevention of fetal brain injury in category II tracings by Masahiro Nakao, Michael G. Ross, Shoichi Magawa, Satoshi Toyokawa, Kiyotake Ichizuka, Naohiro Kanayama, Shoji Satoh, Nanako Tamiya, Akihito Nakai, Keiya Fujimori, Tsugio Maeda, Akira Oka, Hideaki Suzuki, Mitsutoshi Iwashita, Tomoaki Ikeda

“…In rapid progression cases, physicians' decisions to deliver the fetus occurred at ~BDecf 8 mEq/L, whereas the “decisions” did not occur until BDecf reached 12 mEq/L in slow progression cases. Conclusions Fetal BDecf reached 12 mEq/L within 1 h of recurrent fetal heart rate decelerations in the rapid progression group and within 3 h in the slow progression group. …”
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