Microwave-Assisted Optimization of Polyvinyl Alcohol Cryogel (PVA-C) Manufacturing for MRI Phantom Production by Ivan Vogt, Martin Volk, Emma-Luise Kulzer, Janis Seibt, Maciej Pech, Georg Rose, Oliver S. Grosser

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Dual-objective optimization strategy of self-adaptive transient pressure controller in water delivery engineering by Boran Zhang, Wuyi Wan, Yuhang Wang, Qihua Ran, Xiaoyi Chen, Yue Fang, Saiyu Yuan, Huiming Zhang

“…Based on the objectives of reducing the in-pipe extreme pressure and in-tank water level fluctuation, an analytical dual-objective optimizing Method was proposed for application. The results demonstrated that the pressure control capability of SAC controller can be optimized by the proposed method.…”
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Application of Hybrid Algorithm Based on Ant Colony Optimization and Sparrow Search in UAV Path Planning by Yangyang Tian, Jiaxiang Zhang, Qi Wang, Shanfeng Liu, Zhimin Guo, Huanlong Zhang

“…This study not only provides a new and effective method for solving large-scale TSP problems but also provides valuable references and insights for the application of ant colony algorithms in solving other complex optimization problems. …”
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Early-Fault Feature Extraction for Rolling Bearings Based on Parameter-Optimized Variation Mode Decomposition by Junjie Ni, Gangjin Huang, Jing Yang, Nan Wang, Junheng Fu

“…Aiming to mitigate this limitation, this paper introduces an enhanced variational mode decomposition approach utilizing the Chaotic Harris Hawk Optimization (CHHO) method. Average energy entropy is used as the optimization criterion in the CHHO–VMD algorithm to ascertain both the ideal mode count and its corresponding penalty factor. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…This study proposes a deep Q-network (DQN) based intelligent curve generation algorithm for operational optimization in these sections. This algorithm incorporates train operational efficiency, safety, and brake shoe wear as optimization objectives, and considers speed limits and charging time constraints for brake cylinders, enabling the search for optimal transition points in cycle braking conditions through interactions with the environment. …”
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OPTIMIZATION OF THE CUTTING EDGE GEOMETRICAL PARAMETERS BASED ON FINITE ELEMENT SIMULATION OF TURNING INCONEL 718 by CHENG Xin, LIU QingFeng, WANG NingChang, JIANG Feng

“…A two-dimensional finite element model of orthogonal cutting Inconel 718 has been built by Third Wave Advant Edge to obtain the distribution of temperature and stress under different parameters of the cutting edge. The cutting force predicted by the finite element method（ FEM） showed good agreement with the experimental results. …”
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Optimization and assessment of the metabolites from the Corrigiola telephiifolia Pourr. roots, using response surface methodology

“…These findings suggest that the optimized extraction models are cost-effective and efficient, providing a valuable method for extracting high-quality phytocompounds. © 2025 The Authors…”
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BHT-QAOA: The Generalization of Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians by Ali Al-Bayaty, Marek Perkowski

“…In this article, arbitrary Boolean problems are examined by successfully solving them with our BHT-QAOA, using different structures based on various logic synthesis methods, an IBM quantum computer, and a classical optimization minimizer. …”
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Technology and optimization of preparation and regeneration of protoplasts from rice sheath blight fungus Rhizoctonia solani by KONG Dandan, QUE Yawei, YAN Xia, LI Ya, CHEN Weiliang, WANG Zhengyi

“…Therefore, it is necessary to develop an efficient method for preparing protoplasts of rice sheath blight fungus.The objectives of the present study were to evaluate various cell wall degradation enzymes and their combinations for releasing protoplasts from R. solani mycelium, and to develop an efficient protocol for yielding protoplasts.Using 0.7 mol/L NaCl as stabilizer solution, seven different cell wall degradation enzymes, including Glucanex, lywallzyme, cellulase-R-10, macerozyme-R-10, snailase, driselase and lysing enzyme, and their combinations were evaluated for releasing protoplasts from R. solani GD-118 mycelium which was harvested from potato dextrose liquid medium cultured at 28℃ for 36 h. …”
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On the need of individually optimizing temporal interference stimulation of human brains due to inter-individual variability by Tapasi Brahma, Alexander Guillen, Jeffrey Moreno, Abhishek Datta, Yu Huang

“…Material and method: Here we aim to study the inter-individual variability of optimized TI by applying the same optimization algorithms on N = 25 heads using their individualized head models. …”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

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Flood Risks of Cyber‐Physical Attacks in a Smart Storm Water System by Chung‐Yi Lin, Yi‐Chen Ethan Yang, Faegheh Moazeni

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A control-driven transition strategy for enhanced multi-level threshold image segmentation optimization by Laith Abualigah, Mohammad H. Almomani, Saleh Ali Alomari, Raed Abu Zitar, Vaclav Snasel, Kashif Saleem, Aseel Smerat, Absalom E. Ezugwu

“…Based on the existing structure, two different types of optimization techniques are added within IFLANO to enhance the update dynamics during optimization. …”
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Optimized thermal storage in a heat exchanger with paraffin nano enhanced PCM and rectangular fins by Ines Chabani, Fateh Mebarek-Oudina

“…Through a program based on the Finite Element Method, four different structures are considered to assess their thermal performance. …”
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Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty by Fatima Ezzahra Achamrah

“…In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. …”
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Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils by Ishwor Thapa, Sufyan Ghani, Prabhu Paramasivam, Mitiku Adare Tufa

“…Abstract Assessing the stability of infinite slopes is a critical challenge in geotechnical engineering, particularly by introducing Nano-silica (NS) stabilization, which changes soil properties and increases mechanical strength. Traditional methods of analysis of slope stability, such as the methods of limit equilibrium methods (LEM) and the methods of finite elements (FEM), often require extensive computational resources and effectively do not capture non-linear relations between soil stabilization and mechanisms of inclination failure. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

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Comprehensive Evaluation of Operation Safety of Earth-rock Dams Based on Weight Optimization-cloud Model by ZHANG Jianwei, WU Weitao, HOU Ge, HUANG Jinlin, WANG Bingpeng, LIU Hongze, HU Zixu

“…This study addresses the distortion of evaluation results caused by overlapping information among evaluation indices and the use of constant weights assigned manually in the comprehensive evaluation of the operational safety of earth and rock dams. An optimization weight approach is proposed to mitigate this issue.MethodsThe initial weights of the indices were calculated using the analytic hierarchy process, and the connections among the indices were analyzed with the help of the decision-making trial and evaluation laboratory. …”
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