Research on process optimization and trajectory planning of EA4T axle robot grinding by Feng ZHANG, Zhongli FENG, Feng XU, Deming ZHANG, Xiangrui ZENG, Jianwei MA, Shilei ZHANG

“…Using this parameter combination, the post-grinding surface roughness reaches 0.338 μm, and the material removal depth is 1.67 μm, effectively improving surface quality while meeting specification requirements. (3) The off-line programming method is used to plan the grinding trajectory. …”
Get full text

Robust STAP with coprime sampling structure based on optimal singular value thresholding by Mingxin Liu, Mingfu Li, Hui Li, Yan Cheng

“…The corrected virtual clutter covariance matrix (CCM) is then expanded and filled with holes. Subsequently, the optimal singular value thresholding method is used to restore the CCM. …”
Get full text

Beamforming and resource optimization in UAV integrated sensing and communication network with edge computing by Bin LI, Sicong PENG, Zesong FEI

“…To address the dependence of traditional integrated sensing and communication network mode on ground infrastructure, the unmanned aerial vehicle (UAV) with edge computing server and radar transceiver was proposed to solve the problems of high-power consumption, signal blocking, and coverage blind spots in complex scenarios.Firstly, under the conditions of satisfying the user’s transmission power, radar estimation information rate and task offloading proportion limit, the system energy consumption was minimized by jointly optimizing UAV radar beamforming, computing resource allocation, task offloading, user transmission power, and UAV flight trajectory.Secondly, the non-convex optimization problem was reformulated as a Markov decision process, and the proximal policy optimization method based deep reinforcement learning was used to achieve the optimal solution.Simulation results show that the proposed algorithm has a faster training speed and can reduce the system energy consumption effectively while satisfying the sensing and computing delay requirements.…”
Get full text

An Equivalence Theorem and A Sequential Algorithm for A-Optimal Experimental Designs on Manifolds by Jingwen Zhang, Yaping Wang

“…Selecting input data points in the context of high-dimensional, nonlinear, and complex data in Riemannian space is challenging. While optimal experimental design theory is well-established in Euclidean space, its extension to Riemannian manifolds remains underexplored. …”
Get full text

Optimizing Activation Function for Parameter Reduction in CNNs on CIFAR-10 and CINIC-10 by Vasil Vasilev, Vasil Shterev, Maria Nenova

Get full text

Precision nitrogen management for optimal yield and cannabinoid profile in CBD hemp agronomy by Dinesh Panday, Bharat Sharma Acharya, Nikita Bhusal, Reza Keshavarz Afshar, Andrew Smith, Arash Ghalehgolabbehbahani

“…There was a significant interaction of N rate and application method, impacting biomass yield, while the N rate also influenced CBD concentration. …”
Get full text

Cooperative Operation Optimization for Integrated Energy Microgrid Groups Based on Federated Learning by Mingfeng XUE, Xiaobo MAO, Hao XIAO, Yibin ZHOU, Xiaowei PU, Wei PEI

“…In the current cooperative operation of multi-agent integrated energy microgrids, the centralized optimization strategy has been experiencing the contradiction of agent privacy protection and parameter sharing, while in the distributed optimization, the optimization model needs to be simplified and approximated extensively such that the global optimal solution is not guaranteed. …”
Get full text

Design and Optimization of Friction Winch for 25 MW Airborne Wind Energy Systems by Lizhao NIU, Kuo YIN, Chonghui LEI

“…The variable density method was used to optimize the topology of the internal support structure of the pressure bearing wheel. …”
Get full text

AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…Several malware datasets were used to compare the AOAFS to four popular Machine Learning algorithms and eight famous wrapper-based optimization algorithms. Statistically, the AOAFS was evaluated using the Friedman Test for ranking the tested algorithms, while the Wilcoxon Signed-Rank Test was employed for pairwise comparisons. …”
Get full text

Optimization of Surface Quality and Power Consumption in Machining Hardened AISI 4340 Steel by Dennis Ochengo, Li Liang, Zhao Wei, He Ning

“…The Taguchi method, based on the L18 orthogonal array, the variance analysis, the signal-to-noise ratios, and the response surface methodology have been used to optimize surface roughness (Ra) and cutting power (Cp). …”
Get full text

Optimizing EV Charging in Real-Time With a Distributed Game-Theoretic Framework by Aifang Yan, Xiaopeng Chen

“…A distributed real-time optimization approach is then implemented through the alternating direction method of multipliers (ADMM). …”
Get full text

An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization by Warda M. Shaban

“…The proposed method is called the Dimensional Archimedes Optimization Algorithm (DAOA). …”
Get full text

Formulation optimization and synergistic effects of flocculation–solidification–vacuum preloading on sludge treatment by Lufan Li, Hongen Wu, Xukun Yang, Jianwen Wei, Yunliang Cui

“…To enhance solidification and reduce cement consumption, the response surface method was used to determine the optimal composite curing agent, which consists of 53% cement, 32% rice husk ash, and 15% sodium silicate. …”
Get full text

OPTIMALISASI PENGGUNAAN FAKTOR PRODUKSI PADA USAHA TANI KAKAO DI KECAMATAN KUMPEH KABUPATEN MUARO JAMBI by Dewi Sri Nurchaini, Yusma Damayanti, Riri Oktari Ulma

“…The analytical method used is the Cobb Douglas production function analysis, then the optimization calculation is continued with economic efficiency criteria, where the efficiency of the use of production factors is achieved if NPMXi / HXi = 1. …”
Get full text

Differential Evolution for Optimizing Model Parameters in Simulation of Direct Dimethyl Carbonate Synthesis by Outi Ruusunen, Riitta Keiski, Mika Ruusunen

“…Dimethyl carbonate (DMC) is a versatile, non-toxic chemical used as a solvent, fuel additive, and reagent in pharmaceuticals and agrochemicals. While traditional production methods of DMC rely on toxic gases like chlorine and carbon monoxide, safer and environmentally friendly alternatives are explored to meet the rising demand. …”
Get full text

An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…Globally, fire incidents cause significant social, economic, and environmental destruction, making early detection and rapid response essential for minimizing such devastation. While various traditional machine learning and deep learning techniques have been proposed, their detection performances remain poor, particularly due to low-resolution data and ineffective feature selection methods. …”
Get full text

AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Further, the objective is to achieve controlled wave reflection allowing a specific wave run-up and optimized energy dissipation, while ensuring maritime stability. …”
Get full text

Detection and Optimization of Photovoltaic Arrays’ Tilt Angles Using Remote Sensing Data by Niko Lukač, Sebastijan Seme, Klemen Sredenšek, Gorazd Štumberger, Domen Mongus, Borut Žalik, Marko Bizjak

“…This paper presents a novel method for optimizing the tilt angles of existing PV arrays by integrating Very High Resolution (VHR) satellite imagery and airborne Light Detection and Ranging (LiDAR) data. …”
Get full text

Ultrasonic Assisted Enhancement in Natural Dye Extraction from Eucalyptus for Process Optimization by Faisal Rehman, Tayyab Naveed, Rehana Ilyas, Noor Sanbhal, Muhammad Awais, Wang Wei

“…The research focuses on the effective extraction of natural dye from Eucalyptus (Eucalyptus globulus L.) leaves and process optimization of coloration using tencel fabrics. Eucalyptus leaves were extracted using ultrasonic-assisted extraction and applied to tencel fabrics using exhaust dyeing method. …”
Get full text

Optimal Investment, Consumption, and Life Insurance Choices with Habit Formation and Inflation Risk by Ailing Shi, Xingyi Li, Zhongfei Li

“…By using the dynamic programming method, we provide and prove a verification theorem and obtain closed-form expressions for the value function, the optimal life insurance premium rate, and the optimal investment and consumption strategies. …”
Get full text