Turtle shell-inspired exosuit with large output, model-based torque estimation, and load compensation by Chen-Hao LIU, Yu GU, Shuo-Yu WANG, Jin-Gang YI, Tao LIU

“…The closed-loop torque control achieves constant load compensation with a root mean square error (RMSE) of 0.77 N. The EMG results indicate a 38.4% average reduction of muscle activation under a 2.5 kg weight lifting. …”
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Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions by Jafar Al Thawabteh, Jamal Al Adwan, Yazan Alzubi, Ahmad Al-Elwan

“…These models offer superior performance in handling large datasets, noise reduction, and feature extraction, making them ideal for this application. …”
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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

“…Results show an impressive R² score of 0.91 on the test set with a 23% reduction in MSE and LIME fidelity exceeding 0.87. …”
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Combustion Control of Ship’s Oil-Fired Boilers Based on Prediction of Flame Images by Chang-Min Lee

“…Given its ease of application to existing ships, it is expected to contribute to sustainable air pollution reduction across the maritime environment.…”
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Study on Multiobjective Path Optimization of Plant Protection Robots Based on Improved ACO‐DWA Algorithm by Jing Niu, Chuanyan Shen, Lipeng Zhang, Guanghao Gao, Jiahao Zheng

“…Simulation results on Matlab R2021 show that this improved algorithm has an average of 28%, 16% and 37% reduction in three indicators of the travel path, the number of detours, and the calculation time, respectively. …”
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Impact of PM_2.5 Pollution on Solar Photovoltaic Power Generation in Hebei Province, China by Ankun Hu, Zexia Duan, Yichi Zhang, Zifan Huang, Tianbo Ji, Xuanhua Yin

“…Our analysis reveals that elevated PM_2.5 concentrations substantially attenuate solar irradiance, resulting in PV power losses reaching up to a 48.2% reduction in PV power output during severe pollution episodes. …”
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Urban Fire Spatial–Temporal Prediction Based on Multi-Source Data Fusion by Haiyu Xiang, Lizhi Wu, Zidong Guo, Shaoyun Ren

“…Extensive evaluations on real-world datasets from Anci and Guangyang Districts demonstrate that UFSTP achieves a 16.2% average reduction in Mean Absolute Error (MAE) for time prediction and a 3.3% average improvement in top-1 hit rate for regional prediction over state-of-the-art baselines. …”
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A Predictive Model of the Position of Plasmapause Based on Lunar Phase and Deep Learning Framework by Yajun Li, Chao Xiao, Quanqi Shi, Hongtao Huang, Huizi Wang, Anmin Tian, Die Duan, Ganming Ren, Tao Tang, Yang Lin, Chenghao Li, Jiajia Suo

“…Our LP‐coupled models achieved a 15% reduction in root mean square error compared to prior artificial neural network models and outperforms empirical benchmarks (e.g., new solar wind‐driven global dynamic plasmapause model), with optimal performance in the dusk sector (18–24 magnetic local time) where lunar tidal effects peak. …”
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Tracking Poultry Drinking Behavior and Floor Eggs in Cage-Free Houses with Innovative Depth Anything Model by Xiao Yang, Guoyu Lu, Jinchang Zhang, Bidur Paneru, Anjan Dhungana, Samin Dahal, Ramesh Bahadur Bist, Lilong Chai

“…The accuracy of the model in estimating physical depth was assessed using root mean square error (RMSE) between predicted and actual perch frame depths, yielding an RMSE of 0.11 m, demonstrating high precision. …”
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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

“…The experimental results demonstrate that the system achieves a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>76</mn><mo>%</mo></mrow></semantics></math></inline-formula> reduction in positioning error compared to using data link measurements alone. …”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Compared to the suboptimal approach, MODNet, our SFMattingNet method achieved an average error reduction of 12.65% in the smoke and fire matting task.…”
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A fast and fully automated system for segmenting retinal blood vessels in fundus images by Alqassab Ans Ibrahim Mahameed, Luque-Nieto Miguel-Ángel

“…Manual segmentation is time-consuming and prone to human error, leading to inconsistent results. Additionally, existing automated methods often struggle with low-quality images or variations in illumination, hindering their effectiveness. …”
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A Fast Multi-Scale of Distributed Batch-Learning Growing Neural Gas for Multi-Camera 3D Environmental Map Building by Chyan Zheng Siow, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota

“…The experimental results show that the proposed method can extract topological features enough to integrate point cloud data sets, and it runs 14 times faster than the previous GNG method with a 23% reduction in the quantization error. Finally, this paper discuss the advantage and disadvantage of the proposed method through numerical comparison with other methods, and explain future works to improve the proposed method.…”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…Initially, four individual TMR sensors exhibited mean absolute error (MAE) of 4.709°, 5.632°, 2.956°, and 1.749°, respectively. …”
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Experimental and simulation study on fracture conductivity of acid-fracturing in Dengying Formation of Sichuan Basin by CHEN Xiang, WANG Guan, LIU Pingli, DU Juan, WANG Ming, CHEN Weihua, LI Jinlong, LIU Jinming, LIU Fei

“…As closure stress increases, different acids and combinations exhibit distinct patterns of conductivity reduction, with potential for two rapid decline phases. …”
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Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces by K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur

“…The proposed setup demonstrated an enhanced industrial performance in a simulated environment through error reduction by 22.3 % along with a 31.1 % increase in task speed and a 27.8 % improvement in situational awareness recorded through NASA-TLX cognitive load evaluations. …”
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Unveiling the drivers of climate change: the impact of economic indicators, renewable energy consumption and human development through a panel ardl approach by Abhinav Pal, Zamurd Ali, Shagufta Tariq Khan, Chandan Kumar Tiwari, Mohd. Abass Bhat

“…These findings contribute to the understanding of the dynamics between economic growth, human development and emission reduction pathways in Asia.…”
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Tripability Analysis of Casing Strings in Directional Wells Using the Continuous Beam-Column and Buckling Theory by Gang Wang, Gang Liu, Kai Wang, Yichen Li, Yinan Hu

“…Through finite element method verification, the prediction was in line with the actual casing running operation and the improved model has the smallest prediction error, i.e., 6.58%, compared with the existing models. …”
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Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance by Hamideh Norouzi, Mohammad Reza Daliri

“…Notably, the transition probability (TP) from D+ to D‐ during the memory duration correlated with saccade errors, indicating a behavioral predictive capacity. …”
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Maintenance of the Results of Stage II Lower Limb Lymphedema Treatment after Normalization of Leg Size by Jose Maria Pereira de Godoy, Henrique Jose Pereira de Godoy, Renata Lopes Pinto, Fernando Nestor Facio, Maria de Fatima Guerreiro Godoy

“…The Friedman test for multiple comparisons and Conover post hoc test were used for statistical analysis with an alpha error of 5%. Results. On comparing leg volume changes using the different types of stockings, the 20/30 mmHg elastic compression stockings failed in the first week to maintain the volume reductions but the 30/40 mmHg compression stockings did not allow significant increases in volume (p value > 0.05). …”
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