Analytical modeling method for electromagnetic linear actuators considering end effects by Yuxin LI, Bo LI, Wenqing GE, Jiayu LU, Jiewei CHEN

“…On this basis, the analytical expression of electromagnetic thrust was derived by Lorentz force method. The results show that compared with finite element simulation, the maximum error of the analyzed thrust value is 9.04% when ignoring the end cap, while the maximum error of the analyzed thrust value is 3.97% when considering the end effect, which verifies the effectiveness of the proposed method; the average relative error of the experiment is 3.77%, which verifies the correctness of the proposed method. …”
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Damage Detection Method for Road Ancillary Facilities Integrating Attention Mechanism by Shuang Yang, Huiqin Wang, Ke Wang, Nan Guo

“…However, existing detection methods often suffer from low accuracy, high computational complexity, and large model sizes when dealing with complex backgrounds, small targets, and long-distance conditions. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Experimental results show that the proposed TCN-QRNN model outperforms traditional methods by 40% in accuracy compared to LSTM and by 8% in terms of metrics such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) compared to TCN-LSTM, while reducing data processing time by 30%. …”
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Optimizing rainfed cropping patterns for economic and environmental sustainability in East Lorestan Iran using GIS and LCA by Zahra Marzban, Mohamamd Reza Asgharipour

“…Policymakers can use these results to develop policies that promote sustainable agricultural practices while practitioners can adopt these methods to optimize their cultivation patterns and reduce their environmental impact.…”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…A key objective in this area is the design of ultra-compact, high-performance nanophotonic devices to pave the way for next-generation photonics. While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. …”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…This model is called Reliability-Based Design Optimization (RBDO). In fact, the coupling between the mechanical modelling, the reliability analyses and the optimization methods leads to very high computational cost and weak convergence stability. …”
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CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation by Jinyi Xu, Yuhang Ming, Minyang Xu, Yaqi Fan, Yuan Zhang, Wanzeng Kong

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A Deep Reinforcement-Learning-Based Route Optimization Model for Multi-Compartment Cold Chain Distribution by Jingming Hu, Chong Wang

“…Compared to a recent ant colony optimization algorithm, it achieves up to a 6.32% reduction in costs while being up to 1637 times faster in computation.…”
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Exploration of the Optimal Treatment Modality for Vitreoretinal Lymphoma: A PRISMA Compliant Meta‐Analysis and Systematic Review by Jing Gao, Li‐wei Lv, Jing Yang, He‐nan Wang, Liang Wang

“…This systematic review aims to explore the most optimal treatment strategy. Methods The methods for this systematic review and meta‐analysis adhered to PRISMA guidelines and followed a protocol registered on the PROSPERO registry. …”
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EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance. To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. …”
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One-Step Alkaline-Hydrogen Peroxide Degumming of Hemp Fiber: Optimization for Enhanced Processability and Eco-Efficiency by Huanghuang Chen, Zhen Wang, Bo Jiang, Mingfang Liu, Huanghuang Chen, Bifeng Luo, Wenxiang Hong

“…However, conventional degumming methods suffer from high energy consumption, severe fiber damage, and environmental pollution. …”
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Green ILC: A Novel Energy-Efficient Iterative Learning Control Approach by Yu Dou, Emmanuel Prempain

“…This novel approach introduces a cost function that minimizes both tracking errors and control effort, enabling the system to adaptively optimize performance over iterations. Theoretical analysis and simulation results demonstrate that Green ILC not only achieves faster convergence but also provides significant energy savings compared with traditional ILC methods. …”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…Using classical methods for constructing a Pareto set for multicriteria optimization requires significant computational resources, which complicates their practical application.The research objective is to develop a methodology for multicriteria optimization of the parameters of a positioning electropneumatic actuator with discrete distributors based on the construction of a Pareto set using surrogate models, which provides finding the optimal balance between switching frequency and positioning accuracy.Materials and Methods. …”
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Research on design optimization of oil and gas pipelines leveraging X80 tee and additive manufacturing technology by Ye TIAN

“…Methods This study introduced equal tees made of X80 steel with a diameter of 1 219 mm for the structural design optimization and safety evaluation of oil and gas pipelines, aimed at addressing local stress concentration issues. …”
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Thermo-economic optimization of a hybrid solar-wind energy system for the production of clean hydrogen and electricity by Ali Bedakhanian, Akbar Maleki, Siavash Haghighat

“…According to the optimization results, the exergy efficiency of 13.35 % was achieved while the cost rate was equal to $25.48 per hour, respectively. …”
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Optimizing security and energy efficiency in IoT-Based health monitoring systems for wireless body area networks by Mohammed Naif Alatawi

“…The healthcare provider assigns global ratings, while local ratings are crowdsourced from remote users or monitoring agents. …”
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Optimal sequencing of locoregional and systemic therapies for intermediate and advanced hepatocellular carcinoma: a network meta-analysis by Wei Lu, Zhiyuan Li, Chen Pan, Bingliang Chen, Gang Zhang, Zhiming Yang, Jingcheng Hao

“…TACE-initiated sequences (TAI/TIA) optimize survival (OS/PFS: SUCRA > 90%), while systemic-first regimens (AIT/IA) maximize tumor response (ORR/DCR: SUCRA > 85%). …”
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Synergistic research on planter performance optimization and green low-carbon agricultural transformation under climate risk by Yan Shi, Pengfei Zhao, Zhengzhao Gu, Ye Li

“…While traditional planting strategies focused on parameters like seed depth, speed, and spacing, they often neglected environmental sustainability and adaptability to climate variability.MethodsTo bridge this gap, we introduced the Adaptive Precision Planter Optimization Model (APPOM), which leveraged real-time environmental sensing, machine learning, and multi-objective optimization to dynamically adjust key planting parameters. …”
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Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications by Suhui Yao, Lan Lv

“…Experimental evaluations demonstrate that the proposed model not only surpasses five state-of-the-art methods in performance but also achieves a 3% improvement in accuracy compared to the next-best approach, all while reducing inference time by over 50%. …”
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