Response Surface Methodology for the Optimization of Preparation of Biocomposites Based on Poly(lactic acid) and Durian Peel Cellulose by Patpen Penjumras, Russly Abdul Rahman, Rosnita A. Talib, Khalina Abdan

“…Response surface methodology was used to optimize preparation of biocomposites based on poly(lactic acid) and durian peel cellulose. …”
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Optimization of Squeeze Casting Process Parameters on AA8011 Based Hmmcs Under NaCl Environment by S. Senthil Kumar, G. Karthikeyan, K. Panneer Selvam

“…The Grey Relational Analysis (GRA) was employed for optimizing process parameters of squeeze casting on AA8011 based composites. …”
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Method Development for the Chromatographic analysis of a Two-Component Tablet Formulation Using Chemometric Optimization Technique by Faysal Selimoğlu, Betül Sarıtaş, Erdal Dinç

“…In the central composite design, temperature, flow rate and buffer% were selected as the effective factors on the chromatographic resolution. …”
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Multi-Objective Optimization Design of Ship Propulsion Shafting Based on Response Surface Methodology and Genetic Algorithm by ZHANG Cong, SHU Bingnan, ZHANG Jiangtao, JIN Yong

“…The central composite design (CCD) method is used to select appropriate experimental points in the optimized design space, and the response surface model is developed with minimum total power consumption and vibration response amplitude. …”
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A denoising method for concrete cracking electromagnetic signals based on grey wolf optimized VMD-WT by HOU Chunyao, TAN Dawen, MAO Yanpian, ZHANG Hongyi, ZHOU Yi, ZHANG Jinghua, HUANG Songling

“…Aiming at the issue of electromagnetic signals being susceptible to environmental noise interference and having a low signal-to-noise ratio, this paper presents a denoising method for electromagnetic signals generated during concrete cracking. A novel composite criterion is introduced as the optimization objective for the grey wolf algorithm (GWO). …”
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Optimization of ultrasound assisted extraction of sappan (Caesalpinia sappan L) wood for preparation of high quality extract by Moh Djaeni, Setia Budi Sasongko, Devi Yuni Susanti, F Widhi Mahatmanti, Andri Cahyo Kumoro, Laeli Kurniasari

“…This study optimized the Ultrasound-Assisted Extraction (UAE) of sappan wood (Caesalpinia sappan L.) using Central Composite Design-Response Surface Methodology (CCD-RSM) and investigated its kinetics. …”
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STRUCTURE ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION DESIGN OF A DEWATERING BUCKET FOR A PULSATOR WASHING MACHINE by CAI Yun, PENG Liang, LIU Xue, CHENG ZhiWen

“…Using Central Composite Design in ANSYS Workbench software,experimental points were selected,and the response surface model of an inner barrel was built. …”
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Optimizing a Compact Ring Coupler with Neural Network Modeling for Enhanced Performance in Radio Frequency Applications by Sobhan Roshani, Salah I. Yahya, Bita Najafi, Ali Jadidian, Mohsen Karimi, Saeed Roshani

“…By feeding the neural network model with these parameters as inputs, the coupler’s output response was predicted and analyzed, enabling the selection of optimal component values. Optimal responses were obtained with L1 = 10.1nH, L2 = 2.3nH and C = 2.1pF, which allows the coupler to operate effectively at 900 MHz. …”
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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…The Adaptive Cross Ivy (ACIVY) algorithm is a novel bio-inspired metaheuristic that emulates ivy plant growth behaviors for complex optimization problems. While the original Ivy Optimization Algorithm (IVYA) demonstrates a competitive performance, it suffers from limited inter-individual information exchange, inadequate directional guidance for local optima escape, and abrupt exploration–exploitation transitions. …”
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Investigation on Durability Behaviour and Optimization of Concrete with Triple-Admixtures Subjected to Freeze-Thaw Cycles in Salt Solution by Xuejiao Li, Wensheng Wang, Zhiqing Zhu, Kunkun Zheng

“…However, due to several more compositions of cement concrete with multiple mineral admixtures, it would take excessive trial mixtures to select the desired mixture proportion based on the conventional method. …”
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Production of Biodiesel from Mixed Castor Seed and Microalgae Oils: Optimization of the Production and Fuel Quality Assessment by Dejene Beyene, Mohammedsani Abdulkadir, Adisu Befekadu

“…The transesterification experiments designed according to the central composite design (CCD) were used to optimize the yield of biodiesel through the response surface methodology (RSM). …”
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Comparison of Markowitz Model and DCC-tCopula-LVaR for Portfolio Optimization in the Tehran Stock Exchange by Gholamreza Taghizadegan, Gholamreza Zomorodian, Mirfeiz Fallahshams, Rasoul Saadi

“…While presenting a composite model, the extracted model should be examined to select the most efficient model to optimize the investment portfolio considering the conditions of investment uncertainty and non-linearity of the correlation between asset returns.Methods: To estimate DCC-tCopula-LVaR, first, the time series of the disturbance distribution of asset returns were estimated and standardized from the ARIMA-GARCH 1,1) model. …”
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Response surface methodology and optimisation of laser powder bed fusion process parameters for fabrication of pure nickel and Ni-TiC composites by Mwambe Polline, Sacks Natasha

“…Process parameters of laser power and scanning speed were selected according to the central composite design of experiments. …”
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Coffee processing waste as a reinforcing material in the preparation of chitosan-based magnetic composite for the removal of chromium (VI) from aqueous solution by Shimelis Kebede Kassahun, Amen Getaye, Konstantina Tsigkou, Irini Angelidaki

“…Based on this analysis, all selected parameters were found to be equally significant for the performance of the synthesized composite adsorbent. …”
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Electrochemical Sensing of Hg²⁺ Ions Using an SWNTs/Ag@ZnBDC Composite with Ultra-Low Detection Limit by Gajanan A. Bodkhe, Bhavna Hedau, Mayuri S. More, Myunghee Kim, Mahendra D. Shirsat

“…Electrochemical sensing investigations using differential pulse voltammetry revealed that the SWNTs/Ag@ZnBDC-modified glassy carbon electrode exhibited high selectivity toward Hg²⁺ ions over other metal ions (Cd²⁺, Co²⁺, Cr³⁺, Fe³⁺, and Zn²⁺), with optimal performance at pH 4. …”
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Effect of Eight Weeks Plyometric Training on Some Kinematic Parameters, Horizontal Jumping Power, Agility, and Body Composition in Elite Parkour Athletes by Abdolrasoul Daneshjoo, Soudabeh Raeisi

“…In this regard, the aim of the present study was to investigate the effect of an 8-week plyometric exercise program on knee kinematic parameters, body composition, agility and horizontal jumping power of Parkour athletes. …”
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3D printing strategies and mechanical performance assessment of continuous basalt-fibre/PA12 composites with high fibre volume fraction by P.L. Pichard, T. Le Gagne, L. Maheo, J. Dirrenberger, U. Lafont, A. Le Duigou

“…The latter are attributed to the localized porosity induced by the juxtaposition of adjacent filaments for the interfilament distance selected.…”
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Comprehensive quality profiling and multivariate analysis of rice (Oryza sativa L.) cultivars: integrating physical, cooking, nutritional, and micronutrient characteristics for enh... by Khaled M. H. Abdelsalam, Ahmed M. Shaalan, Germine M. AbouEl-Soud, Medhat A. E. El-Dalil, Abdelsalam M. Marei, Diaa Abd El-Moneim, Aly A. A. El-Banna, Sobhi F. Lamlom, Ahmed M. Abdelghany

“…RGQ encompasses multiple interconnected features including physical appearance, cooking properties, biochemical composition, nutritional components, and sensory aspects. …”
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A Poly(methacrolein-<i>co</i>-methacrylamide)-Based Template Anchoring Strategy for the Synthesis of Fluorescent Molecularly Imprinted Polymer Nanoparticles for Highly Selective Se... by Madhav Biyani, Mizuki Matsumoto, Yasuo Yoshimi

“…We optimized the synthesis of poly(methacrolein-<i>co</i>-methacrylamide) under three different conditions by varying the monomer compositions and reaction parameters. …”
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Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning by Kang Xu, Zhengming Sun, Jian Tu, Wenwang Wu, Huihui Yang

“…Multi-principal element alloys (MPEAs), distinguished by their complex compositions and exceptional mechanical properties, pose significant challenges for conventional predictive approaches in mechanical property optimization. …”
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