PSO-optimized dual-channel BP neural network for bathymetric prediction using multisource marine geodetic data: A case study of the gulf of Mexico by Jiajia Yuan, Haoran Liu, Jianli Chen, Chen Yang

“…To overcome these challenges, we developed a Particle Swarm Optimization (PSO)-optimized dual-channel BP neural network (PSO_BP), integrating shipborne bathymetric data with satellite altimetry-derived gravity anomalies. …”
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Proline-driven metabolic reprogramming promotes skeletal muscle hypertrophy and oxidative myofiber specification in porcine offspring: a stage-optimized maternal nutritional interv... by Jun Huang, Kaidi Ma, Junyi Wu, Shuangbo Huang, Zihao Huang, Yujiao Chen, Shijian Zhou, Hefeng Luo, Chengquan Tan

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Review of optimization modeling and solution of long-distance natural gas pipeline network by Peng ZHOU, Qi WEI

“…Current researches mostly focus on solving the single-attribute pipeline network optimization problem at a specific stage. However, to improve the economy, reliability and sustainability of the pipeline network, it is necessary to consider the economic and physical attributes comprehensively and systematically coordinate the design and operation optimization. …”
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Surface Eddy Current Probes: Excitation Systems of the Optimal Electromagnetic Field (Review) by V. Ya. Halchenko, R. V. Trembovetskaya, V. V. Tychkov

“…The authors considered approaches in which a uniform distribution of the electromagnetic field on the control object surface was achieved by linear and non-linear optimal synthesis of excitation systems, provided the immobility of the probe relative to the testing object. …”
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Optimizing the thermoelectric transport properties of bilayer phosphorene through biaxial strain engineering by Guiqing Zhang, Hongqiang Liu, Jun Li

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Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…This paper systematically reviews the research progress in WEDM process optimization from two main perspectives: traditional optimization methods and artificial intelligence (AI) techniques. …”
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Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters by Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim

“…Several experiments are conducted to train a support vector regressor (SVR) model, validate the predicted performance, and refine the design that can be further used to obtain an optimized TENG design.…”
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Optimized Harvest Management Strategy Based on Latent Loss and Antioxidant Enzyme Activity by Yujia Wang, Wenfu Wu, Jie Xu, Ming Gao, Zidan Wu, Rui Wang, Houqing Liu

“…Timely harvesting is a crucial aspect of agricultural production, requiring the comprehensive evaluation of multiple factors to optimize yield and quality while minimizing economic losses and resource waste. …”
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Analysis and Optimization of FEAD Belt Noise based on Crankshaft Torsion Vibration Damper by Jun Zhang, Yanchao Zhang, Chuanzhi Ai

“…In order to solve the belt noise problem，the abnormal noise of the engine bay during the acceleration of a compact SUV model is taken as an example to systematically carry out the identification and investigation of the belt noise. …”
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Harnessing Nanoplasmonics: Design Optimization for Enhanced Optoelectronic Performance in Nanocrystalline Silicon Devices by Mohsen Mahmoudysepehr, Siva Sivoththaman

“…Using finite-difference time-domain (FDTD) simulations, we systematically optimize key design parameters, including nanoparticle geometry, spacing, metal type (Ag and Al), dielectric spacer material, and absorber layer thickness. …”
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Optimization of MWCNT concentration in nylon-based nanocomposites for enhanced triboelectric nanogenerator performance by Orkhan Gulahmadov, Lala Gahramanli, Mustafa Muradov, Jadranka Blazhevska Gilev, Stefano Bellucci, Cristian Vacacela Gomez

“…Nylon/MWCNT nanocomposite films were fabricated using the spin-coating method, and their electrical output was systematically evaluated as a function of MWCNT concentration. …”
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Optimization of Slotted Steel Plate Shear Walls Based on Adaptive Genetic Algorithm by Jianian He, Lu Wang, Jiajun Hu, Zhiming He, Shizhe Chen

“…ABAQUS finite element software and PYTHON interactive analysis were systematically used to evaluate the mechanical performance of the optimized configurations, focusing on achieving an optimal ductility–stiffness balance under cyclic loading conditions. …”
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Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications by Majid Sohrabi, Milad Razbin

“…The findings demonstrate the potential of AI-driven design in fine-tuning nanofiber structures for advanced air filtration applications. The optimized sample achieved a filtration efficiency of 96%, a pressure drop of 110.23 Pa, and a quality factor of 0.0297. …”
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Multiobjective Optimization Approach for Coordinating Different DG from Distribution Network Operator by Limei Zhang, Honglei Yang, Jing Lv, Yongfu Liu, Wei Tang

“…Integrating with analysis of uncertainties, this paper presented a multiobjective optimization approach for coordinating different DG from the perspective of Distribution Network Operator (DISOPER). …”
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Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization. by Victor Geadah, Stefan Horoi, Giancarlo Kerg, Guy Wolf, Guillaume Lajoie

“…In this work, we use artificial neural networks to systematically investigate single-neuron input-output adaptive mechanisms, optimized in an end-to-end fashion. …”
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GelLight: Illumination Design, Modeling, and Optimization for Camera‐Based Tactile Sensor by Jieji Ren, Wenxin Du, Yueshi Dong, Ningbin Zhang, Heng Guo, Boxin Shi, Jiang Zou, Guoying Gu

“…Herein, a photometric stereo‐based modeling, optimization, and evaluation system is proposed to explore the best illumination for typical camera‐based tactile sensors. …”
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Study on Optimization of Mapping Method for Multi-Layer Cage Chicken House Environment by Zhaobo Zhang, Yanwei Yuan, Xin Dong, Yulong Yuan, Sa An, Yue Cao, Yang Li, Yuefeng Chen

“…This study delves into the mapping method for the navigation system of a chicken coop disinfection robot. It systematically analyzes the problems of insufficient effective particle count, high particle repetition rate in environmental map information, and penetration phenomenon in traditional SLAM laser point cloud mapping technology in chicken coop environments containing multiple layers of chicken cages. …”
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Simulation and Optimization of Conveying Parameters for Vertical Screw Conveyor Based on CFD + DEM by Xiao Mei, Xiaoyu Fang, Liyang Zhang, Yandi Wang, Yuan Tian

“…The effects of key operational parameters, including screw speed, filling rate, and helix angle, on mass flow rate were systematically evaluated. A comprehensive performance index was established to quantify conveying efficiency, and its validity was confirmed through analysis of variance on the regression model. …”
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Optimal Dynamic Reserved Bandwidth Allocation for Cloud-Integrated Cyber-Physical Systems by Guanlin Wu, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang

“…Unfortunately, how to dynamically make the reserved bandwidth allocation for CCPS is still a great challenge. To address this issue, we propose a novel strategy that systematically and dynamically allocates reserved bandwidth for multiple CPS services in CCPS with a nearly optimal method. …”
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Optimizing CaO-based CO2 adsorption: Impact of operating parameters by Chengzhuang Zhang, Jia Fang, Zhiqiang Han, Peng Chen, Xilong Xu, Kejian Wang, Yunxi Shi, Jianxiong Liao

“…Optimal adsorption performance, achieving a capacity of 0.62 g/g and a rate exceeding 0.14 g/g/min, was observed at 750°C, 7 mg mass, 20% CO2, and 20 mL/min flow. …”
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