SAFIRE STRENGTH OPTIMIZATION: EFFECT ON TISSUE CONTRAST AND PATHOLOGICAL ASSESSMENT OF BRAIN MSCT WITH NON-HEMORRHAGE STROKE (SNH) by I Putu Eka Juliantara, Angel Lingkan Martoyo, Made Sayang Pratista

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Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…Finally, a convex optimization algorithm is proposed to design the optimal asynchronous event-triggered guaranteed cost control law, and a DC motor model is provided to validate its effectiveness.…”
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Optimization Techniques in Electric Vehicle Charging Scheduling, Routing and Spatio-Temporal Demand Coordination: A Systematic Review by Eiman Elghanam, Akmal Abdelfatah, Mohamed S. Hassan, Ahmed H. Osman

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Enhancing Geopolymer Mix Optimization: Integration of the Plackett–Burman Method and Response Surface Methodology for Sustainable Construction Materials by N. Anuja, M. Palanivel, N. Amutha Priya

“…The significant variables determined from the Plackett–Burman design are further considered for the process of optimization using the response surface methodology. …”
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A Selective Ink Deposition Method for the Cost-Performance Optimization of Inkjet-Printed UHF RFID Tag Antennas by J. Virtanen, J. Virkki, A. Z. Elsherbeni, L. Sydänheimo, L. Ukkonen

“…A selective ink deposition method is proposed for fabricating inkjet-printed passive UHF RFID tag antennas with optimized cost-performance ratios. The deposition method is based on identifying areas with high surface current densities on a given tag antenna and applying additional silver nanoparticle ink onto such areas to increase tag read range. …”
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Multistrategy Cooperation Particle Swarm Optimization for FEM Model Update of the Continuous Warren Truss Steel Railway Bridge by Yiqiang Li, Liming Zhou

“…Therefore, multistrategy cooperation particle swarm optimization (MCPSO) that balances exploration and exploitation of particle swarm is proposed. …”
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Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework. by Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, Manning Yu, Lihao Zhang

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Mechanism and Optimized Process Conditions of Forming One-Dimensional ZnO Nanorods with Al-Doping by Electrodeposition Method by Jianlin Chen, Yu Zhang, Wei Qiu, Shu Chen, Chang Liu, Zhuoyin Peng, Jian Chen

“…Here, we report a self-assembling electrochemical approach for preparing Al-doped ZnO nanorod arrays (NRAs) as light-trapping electrodes from a mixed aqueous solution of zinc nitrate and aluminium nitrate. The mechanism and optimized process conditions of forming one-dimensional ZnO nanorods with Al-doping were systematically investigated. …”
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Machine learning algorithm for estimating and optimizing the phytochemical content and physicochemical properties of okra slices in an infrared heating system by Hany S. El-Mesery, Ahmed H. ElMesiry, Evans K. Quaye, Zicheng Hu, Ali Salem

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A radix‐8 modulo 2n multiplier using area and power‐optimized hard multiple generator by Naveen Kr. Kabra, Zuber M. Patel

“…This paper presents an area and power optimization technique for this kind of generators and its implementation in modulo 2n multiplier to improve the performance. …”
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Normal wiggly probabilistic hesitant fuzzy-based TODIM approach for optimal solid waste disposal method selection by Jawad Ali, Dragan Pamucar

“…Furthermore, for scenarios where the weights of criteria are partially or completely unknown, two optimization models are established to determine these weights using the maximizing deviation approach and the Lagrange function technique, respectively. …”
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Sedative load and anticholinergic burden among older adults in Slovenia over a decade: Potential for optimization of pharmacotherapy by Jazbar Janja, Locatelli Igor, Kos Mitja

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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

Subjects: “…propulsion performance optimization…”
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Optimal Approaches for Hard Milling of SKD11 Steel Under MQL Conditions Using SIO2 Nanoparticles by Quoc-Manh Nguyen, The-Vinh Do

“…In this study, the Response Surface method was used to perform single-objective and multiobjective optimizations during the hard milling of SKD11 steel. …”
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Communities Detection in Multiplex Networks Using Optimization: Study Case—Employment in Mexico during the COVID-19 Pandemic by Edwin Montes-Orozco, Roman Anselmo Mora-Gutiérrez, Sergio Gerardo De-Los-Cobos-Silva, Roberto Bernal-Jaquez, Eric Alfredo Rincón-García, Miguel Angel Gutiérrez-Andrade, Pedro Lara-Velázquez

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Measurement and optimization of inductive elements in control systems of combined heat and power supply based on renewable energy sources by A. V. Volkov, A. M. Dobrenko, N. A. Drobnitskiy, A. A. Druzhinin, D. V. Mylkin, M. O. Sheykin

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A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit by Edwin F. Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E. Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M. Sweeney, Curtis Beebe, Lawrence Stewart, Lauren Olsen, Julie Reinke, Elizabeth A. Kiernan, Rebecca Reimers, Kristen Wigby, Chris Tackaberry, Mark Yandell, Charlotte Hobbs, Matthew N. Bainbridge

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Optimization and Validation of Thermal Desorption Gas Chromatography-Mass Spectrometry for the Determination of Polycyclic Aromatic Hydrocarbons in Ambient Air by Iñaki Elorduy, Nieves Durana, José Antonio García, María Carmen Gómez, Lucio Alonso

“…This work describes the optimization of TD-GC/MS for the measurement of airborne polycyclic aromatic hydrocarbons (PAHs) in particulate phase. …”
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Cooperation and competition in an oligopolistic and mature industry: A case study on the cationic reagent industry based on an optimization model by Joohang Kang, Byoungil Choi, Chaehong Lim, Joonyup Eun

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Optimization of Extraction Process of Methyl Eugenol and Asarinin in Asarum with Deep Eutectic Solvent Based on the Response Surface Methodology by Huiwei Bao, Yang Xu, Yuejie Wang, Tao Zhang, Enpeng Wang, Xin Huang, Changbao Chen, Fangxin Liu

“…Based on single-factor experiments, the surface response methodology was used to optimize the extraction process conditions. The results showed that the optimum extracting process conditions of methyl eugenol and asarinin in Asarum consisted of a ratio of choline chloride to glycerol of 1 : 3, a DES volume of 2 mL, an ultrasonic temperature of 60°C, an ultrasonic time of 30 min, and a vortex oscillation of 7 min. …”
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