Optimizing FCN for devices with limited resources using quantization and sparsity enhancement by Muhammad Faizan-Khan, Nisar Ali, Raja Hashim Ali, Areej Alasiry, Mehrez Marzougui, Shabbab Ali Algamdi, Yunyoung Nam

“…To fill this gap, we propose an innovative approach utilizing full-layer quantization with an $$L_2$$ error minimization algorithm, accompanied by sensitivity analysis to optimize fixed-point representation of network weights. …”
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Design of distributed implementation and performance analysis of asymptotic optimality for cooperative two-way relaying networks by LI Chun-guo1, ZHONG Chong-xian2, YANG Lv-xi1, PAN Yue3

“…The realization scheme in the distributed manner was researched for the cooperation transmission of the multi-ple two-way relays,moreover the performance analysis of the asymptotic optimality was also presented.First of all,an upper-bound function was obtained for the true value of the average mean squared error of the whole system by the SNR approximations.Furthermore,a mathematical model was established based on this bound function.Secondly,an optimal solution was obtained for the established problem by using the matrix transform and mathematical derivations.Finally,the realization scheme was obtained in the distributed manner.The proposed scheme avoided the strict requirement that every relay must know the full channel state information（CSI） of the whole networks,while can easily achieve the gain of the relays cooperation by requiring every relay know its local CSI consisted of its forward and backward CSI.There-fore,the proposed scheme not only avoided the central control as required by the central manner and the large amount of the feedback overheads,but also achieved much gain.Theory analysis shows that the proposed scheme is asymptotically optimal.…”
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OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL by RAN XianSheng, CHEN Kai, ZHAO HongLiang, LUO Ling

“…Sensitivity analysis and approximate modeling of related parameters were carried out, and the radial basis function neural network approximate model was used for multi-objective optimization, based on the error analysis of the approximate model. …”
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Air-side Thermal-hydraulic Analysis and Parametric Optimization for Vertical-fin Microchannel Heat Exchanger by Zhao Rijing, Wei Xinghua, Huang Dong, Li Feng, Zhao Yongfeng

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Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…The symbolic solutions to the forward and inverse displacement analysis are derived. This mechanism with the partial motion-decoupling characteristics is of great benefit to subsequent research such as error analysis， motion trajectory planning， and control. …”
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Evidence-based strategies for optimizing long-term temperature monitoring in offices by Peixian Li, Xiangjun Zhao, Siyan Wang, Thomas Parkinson, Richard de Dear, Xing Shi

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Analysis of drug crystallization by evaluation of pharmaceutical solubility in various solvents by optimization of artificial intelligence models by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

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Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…The primary objective in the production of parts is to optimize the manufacturing process. As the industry recognizes the roughness of the cut product as one of the key criteria, it becomes critical to select the correct laser settings with minimum trial, error and at the lowest possible cost while using reliable techniques to achieve the desired surface finish. …”
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Enhancing construction safety management through multivariable grey model analysis and variable selection optimization by Jian Liu, Ye He, Rui Feng, Qinlin Chu

“…The analysis suggests that optimal predictive performance is achieved when the number of control variables is approximately four. …”
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SLIPT-Assisted Dual-Hop VLC/RF With Relay Selection: Outage Probability Analysis and Optimization by van Khoe Ta, Ic-Pyo Hong, Giang N. Tran

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Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis by Agostino Marengo, Vito Santamato

“…This paper presents a systematic review of quantum computing approaches to healthcare-related computational problems, with an emphasis on quantum-theoretical foundations and algorithmic complexity. We adopt an optimized machine learning methodology—combining Particle Swarm Optimization (PSO) with Latent Dirichlet Allocation (LDA)—to analyze the literature and identify key research themes at the intersection of quantum computing and healthcare. …”
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Structure Design and Simulation Analysis of the Dynamic Inspection Instrument for Middle and Large Worm Gear Pairs by Duan Yuancong, Zheng Yong, Peng Donglin, Xu Shi, Wang Yangyang

“…SolidWorks is used to design the key parts and complete the structure layout and virtual assembly. Finite element analysis and structural optimization are carried out on the beam assembly by the Ansys Workbench. …”
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Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN by Xueqing Chen, Dacheng Li, Anjing Wang

“…By using the mathematical evaluation methods to comprehensively evaluate and compare the effects of various algorithm models, it was found that the Loess-MDS-SBOA-BP model has the best performance, with its determination coefficient (R²) increasing to 99.711%, the root mean square error (RMSE) being only 0.27144, and the other evaluation indicators also being optimal. …”
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Presacral tumors: a retrospective analysis of 112 cases with emphasis on diagnostic challenges and surgical outcomes by Shi Chen, Heng Deng, Ming Li, Xiaoli Fang

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Automated Fixed-Point Precision Optimization for FPGA Synthesis by Ines Winandy, Arnaud Dion, Florent Manni, Pierre-Loic Garoche, Dorra Ben Khalifa, Matthieu Martel

“…The distinguishing feature of our technique lies in its formal approach to error analysis: it systematically propagates numerical errors through computations to infer variable-specific fixed-point formats that guarantee user-specified accuracy bounds. …”
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Establishment of predictive models for head loss and filtration efficiency of pontoon mesh rotary filter based on dimension analysis by Zhen Jin, Lingwei Chen, Qiao Li, Mahemujiang Aihemaiti, Youwei Jiang, Hongfei Tao

“…We then adopted range analysis, variance analysis (ANOVA), dimensional analysis, and the multiple linear regression (MLR) method to analyze the results. …”
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Integrated Communication, Sensing, Computing, and Control for Industrial Power Protection Systems: Analysis and Performance Optimization by Tongshan Liu, Jiangtao Zhang, You Liu, Chunyou Zhuang, Hao Li, Yuanyuan Chen

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Sentiment analysis using long short term memory and amended dwarf mongoose optimization algorithm by Haisheng Deng, Ahmed Alkhayyat

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Design and analysis of parameter optimization on development of corn straw fiber composition by ultrasound with alkalization pretreatment by SHEN Weizheng, QU Tengyu, WEI Xiaoli, MU Yingxin

“…The relative errors of actual values and predicted values were less than 13%, 12% and 14%, respectively. …”
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Parameter optimization and mechanism analysis of pepper spring-tooth drum picking device based on DEM by Jiaxuan Yang, Jin Lei, Xinyan Qin, Shiguo Wang, Yang Liu, Chengfu Wang

“…A quadratic regression orthogonal rotary combination test was then employed to optimize these parameters. The optimization results showed that the loss rate (η1) and picking rate (η2) achieved optimal values of 5.66 % and 85.90 %, respectively, at a rotation speed of 170 r/min, a forward speed of 0.61 m/s and a spring-tooth angle of 17° Bench tests revealed a loss rate of 6.07 % and a picking rate of 90.23 %, with relative errors of 7.24 % and 5.04 % respectively compared to the simulation outcomes. …”
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